Publications
2022
Phi, L; Albertson, B; Hatcher, D; Rathi, S; Park, J; Oh, H
Condylar degeneration in anterior open bite patients: A cone-beam computed tomography (CBCT) study. Journal Article
In: Oral Surgery Oral Med Oral Path Oral Radiology , vol. 133, iss. 2, pp. 221-228, 2022.
Abstract | Links | BibTeX | Tags: anterior openbite, CBCT, condylar degeneration, Cone-beam computed tomography
@article{Oh2022g,
title = {Condylar degeneration in anterior open bite patients: A cone-beam computed tomography (CBCT) study.},
author = {L Phi and B Albertson and D Hatcher and S Rathi and J Park and H Oh },
url = {https://pubmed.ncbi.nlm.nih.gov/34503937/},
doi = {10.1016/j.oooo.2021.07.019},
year = {2022},
date = {2022-02-01},
journal = {Oral Surgery Oral Med Oral Path Oral Radiology },
volume = {133},
issue = {2},
pages = {221-228},
abstract = {Objectives: The purpose of this study was to investigate the prevalence of condylar degeneration in patients with anterior open bites (AOB).
Study design: Cone beam computed tomography (CBCT) scans of 194 patients with AOB (108 with skeletal open bites and 86 with dental open bites) and 100 patients serving as controls were included in this retrospective study. Two oral and maxillofacial radiologists categorized each of the 588 condyles as normal, degenerative-active, or degenerative-repair. The χ2 analysis with Bonferroni adjustment was used to evaluate the relationship of condylar status (normal vs degenerative) to anterior open bites.
Results: Of the 103 degenerative condyles, there were 59 in the group with skeletal open bites, 14 in the group with dental open bites, and 30 in the control group. Condylar degeneration occurred twice as frequently in patients with skeletal open bites as it did in the control group (P < .0001). Conversely, a greater frequency of normal condyles was found in the group of patients with dental open bites (P = .0002). The group with skeletal open bites also showed a significantly higher frequency of bilateral degenerative condyles (P = .0001). The frequency of condylar degeneration did not differ significantly between female and male individuals.
Conclusions: Degenerative condylar change was significantly more likely in patients with skeletal open bites and less likely in patients with dental open bites.},
keywords = {anterior openbite, CBCT, condylar degeneration, Cone-beam computed tomography},
pubstate = {published},
tppubtype = {article}
}
Objectives: The purpose of this study was to investigate the prevalence of condylar degeneration in patients with anterior open bites (AOB).
Study design: Cone beam computed tomography (CBCT) scans of 194 patients with AOB (108 with skeletal open bites and 86 with dental open bites) and 100 patients serving as controls were included in this retrospective study. Two oral and maxillofacial radiologists categorized each of the 588 condyles as normal, degenerative-active, or degenerative-repair. The χ2 analysis with Bonferroni adjustment was used to evaluate the relationship of condylar status (normal vs degenerative) to anterior open bites.
Results: Of the 103 degenerative condyles, there were 59 in the group with skeletal open bites, 14 in the group with dental open bites, and 30 in the control group. Condylar degeneration occurred twice as frequently in patients with skeletal open bites as it did in the control group (P < .0001). Conversely, a greater frequency of normal condyles was found in the group of patients with dental open bites (P = .0002). The group with skeletal open bites also showed a significantly higher frequency of bilateral degenerative condyles (P = .0001). The frequency of condylar degeneration did not differ significantly between female and male individuals.
Conclusions: Degenerative condylar change was significantly more likely in patients with skeletal open bites and less likely in patients with dental open bites.
Study design: Cone beam computed tomography (CBCT) scans of 194 patients with AOB (108 with skeletal open bites and 86 with dental open bites) and 100 patients serving as controls were included in this retrospective study. Two oral and maxillofacial radiologists categorized each of the 588 condyles as normal, degenerative-active, or degenerative-repair. The χ2 analysis with Bonferroni adjustment was used to evaluate the relationship of condylar status (normal vs degenerative) to anterior open bites.
Results: Of the 103 degenerative condyles, there were 59 in the group with skeletal open bites, 14 in the group with dental open bites, and 30 in the control group. Condylar degeneration occurred twice as frequently in patients with skeletal open bites as it did in the control group (P < .0001). Conversely, a greater frequency of normal condyles was found in the group of patients with dental open bites (P = .0002). The group with skeletal open bites also showed a significantly higher frequency of bilateral degenerative condyles (P = .0001). The frequency of condylar degeneration did not differ significantly between female and male individuals.
Conclusions: Degenerative condylar change was significantly more likely in patients with skeletal open bites and less likely in patients with dental open bites.
2021
Bianchi, J; Goncalves, J Roberto; Ruellas, A Carlos De Oliveira; Bianchi, J Vierira Pastana; Ashman, LM; et al,
Radiographic interpretation using high-resolution Cbct to diagnose degenerative temporomandibular joint disease Journal Article
In: PLOS ONE, vol. 16, no. 8, pp. e0255937, 2021.
Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, fixed appliances, Growth, hyperdivergent, Mandibular fixed retainer
@article{Bianchi2021b,
title = {Radiographic interpretation using high-resolution Cbct to diagnose degenerative temporomandibular joint disease},
author = {J Bianchi and J Roberto Goncalves and A Carlos De Oliveira Ruellas and J Vierira Pastana Bianchi and LM Ashman and et al },
url = {https://pubmed.ncbi.nlm.nih.gov/34375354/},
doi = {10.1371/journal.pone.0255937},
year = {2021},
date = {2021-08-10},
urldate = {2021-08-10},
journal = {PLOS ONE},
volume = {16},
number = {8},
pages = {e0255937},
abstract = {The objective of this study was to use high-resolution cone-beam computed images (hr- CBCT) to diagnose degenerative joint disease in asymptomatic and symptomatic subjects using the Diagnostic Criteria for Temporomandibular Disorders DC/TMD imaging criteria. This observational study comprised of 92 subjects age-sex matched and divided into two groups: clinical degenerative joint disease (c-DJD, n = 46) and asymptomatic control group (n = 46). Clinical assessment of the DJD and high-resolution CBCT images (isotropic voxel size of 0.08mm) of the temporomandibular joints were performed for each participant. An American Board of Oral and Maxillofacial Radiology certified radiologist and a maxillofacial radiologist used the DC/TMD imaging criteria to evaluate the radiographic findings, followed by a consensus of the radiographic evaluation. The two radiologists presented a high agreement (Cohen's Kappa ranging from 0.80 to 0.87) for all radiographic findings (osteophyte, erosion, cysts, flattening, and sclerosis). Five patients from the c- DJD group did not present radiographic findings, being then classified as arthralgia. In the asymptomatic control group, 82.6% of the patients presented radiographic findings determinant of DJD and were then classified as osteoarthrosis or overdiagnosis. In conclusion, our results showed a high number of radiographic findings in the asymptomatic control group, and for this reason, we suggest that there is a need for additional imaging criteria to classify DJD properly in hr-CBCT images.},
keywords = {AAOF, Adolescents, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, fixed appliances, Growth, hyperdivergent, Mandibular fixed retainer},
pubstate = {published},
tppubtype = {article}
}
The objective of this study was to use high-resolution cone-beam computed images (hr- CBCT) to diagnose degenerative joint disease in asymptomatic and symptomatic subjects using the Diagnostic Criteria for Temporomandibular Disorders DC/TMD imaging criteria. This observational study comprised of 92 subjects age-sex matched and divided into two groups: clinical degenerative joint disease (c-DJD, n = 46) and asymptomatic control group (n = 46). Clinical assessment of the DJD and high-resolution CBCT images (isotropic voxel size of 0.08mm) of the temporomandibular joints were performed for each participant. An American Board of Oral and Maxillofacial Radiology certified radiologist and a maxillofacial radiologist used the DC/TMD imaging criteria to evaluate the radiographic findings, followed by a consensus of the radiographic evaluation. The two radiologists presented a high agreement (Cohen's Kappa ranging from 0.80 to 0.87) for all radiographic findings (osteophyte, erosion, cysts, flattening, and sclerosis). Five patients from the c- DJD group did not present radiographic findings, being then classified as arthralgia. In the asymptomatic control group, 82.6% of the patients presented radiographic findings determinant of DJD and were then classified as osteoarthrosis or overdiagnosis. In conclusion, our results showed a high number of radiographic findings in the asymptomatic control group, and for this reason, we suggest that there is a need for additional imaging criteria to classify DJD properly in hr-CBCT images.
Bianchi, J; Ruellas, A; Prieto, J C; Li, T; Soroushmehr, R; Najarian, K; Gryak, J; Deleat-Besson, R; Le, C; Yatabe, M; Gurgel, M; Turkestani, N A; Paniagua, B; Cevidanes, L
Decision support systems in temporomandibular Joint osteoarthritis: A review of data science and artificial intelligence applications. Journal Article
In: Seminars in Orthodontics, vol. 27, no. 2, pp. 78-86, 2021.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Discrepency Index, malocclusion severity, mandibular asymmetry, orthodontic, Peer Assessment Rating Index, technique, vertical control, x-ray
@article{Bianchi2021,
title = {Decision support systems in temporomandibular Joint osteoarthritis: A review of data science and artificial intelligence applications.},
author = {J Bianchi and A Ruellas and J C Prieto and T Li and R Soroushmehr and K Najarian and J Gryak and R Deleat-Besson and C Le and M Yatabe and M Gurgel and N A Turkestani and B Paniagua and L Cevidanes},
url = {https://pubmed.ncbi.nlm.nih.gov/34305383/},
doi = {10.1053/j.sodo.2021.05.004},
year = {2021},
date = {2021-05-19},
urldate = {2021-05-19},
journal = {Seminars in Orthodontics},
volume = {27},
number = {2},
pages = {78-86},
abstract = {With the exponential growth of computational systems and increased patient data acquisition, dental research faces new challenges to manage a large quantity of information. For this reason, data science approaches are needed for the integrative diagnosis of multifactorial diseases, such as Temporomandibular joint (TMJ) Osteoarthritis (OA). The Data science spectrum includes data capture/acquisition, data processing with optimized web-based storage and management, data analytics involving in-depth statistical analysis, machine learning (ML) approaches, and data communication. Artificial intelligence (AI) plays a crucial role in this process. It consists of developing computational systems that can perform human intelligence tasks, such as disease diagnosis, using many features to help in the decision-making support. Patient's clinical parameters, imaging exams, and molecular data are used as the input in cross-validation tasks, and human annotation/diagnosis is also used as the gold standard to train computational learning models and automatic disease classifiers. This paper aims to review and describe AI and ML techniques to diagnose TMJ OA and data science approaches for imaging processing. We used a web-based system for multi-center data communication, algorithms integration, statistics deployment, and process the computational machine learning models. We successfully show AI and data-science applications using patients' data to improve the TMJ OA diagnosis decision-making towards personalized medicine.},
keywords = {AAOF, Cone-beam computed tomography, Discrepency Index, malocclusion severity, mandibular asymmetry, orthodontic, Peer Assessment Rating Index, technique, vertical control, x-ray},
pubstate = {published},
tppubtype = {article}
}
With the exponential growth of computational systems and increased patient data acquisition, dental research faces new challenges to manage a large quantity of information. For this reason, data science approaches are needed for the integrative diagnosis of multifactorial diseases, such as Temporomandibular joint (TMJ) Osteoarthritis (OA). The Data science spectrum includes data capture/acquisition, data processing with optimized web-based storage and management, data analytics involving in-depth statistical analysis, machine learning (ML) approaches, and data communication. Artificial intelligence (AI) plays a crucial role in this process. It consists of developing computational systems that can perform human intelligence tasks, such as disease diagnosis, using many features to help in the decision-making support. Patient's clinical parameters, imaging exams, and molecular data are used as the input in cross-validation tasks, and human annotation/diagnosis is also used as the gold standard to train computational learning models and automatic disease classifiers. This paper aims to review and describe AI and ML techniques to diagnose TMJ OA and data science approaches for imaging processing. We used a web-based system for multi-center data communication, algorithms integration, statistics deployment, and process the computational machine learning models. We successfully show AI and data-science applications using patients' data to improve the TMJ OA diagnosis decision-making towards personalized medicine.
Turkestani, N Al; Bianchi, J; Deleat-Besson, R; et al,
Clinical decision support systems in orthodontics: A narrative review of data science approaches. Journal Article
In: Orthod Craniofac Res, 2021.
Abstract | Links | BibTeX | Tags: AAOF, clinical orthodontist, Cone-beam computed tomography, Cranial base, craniofacial, hyperdivergent, malocclusion severity, mandibular asymmetry, Posttreatment, technique
@article{Turkestani2021,
title = {Clinical decision support systems in orthodontics: A narrative review of data science approaches.},
author = {N Al Turkestani and J Bianchi and R Deleat-Besson and et al},
url = {https://onlinelibrary.wiley.com/doi/10.1111/ocr.12492},
doi = {10.1111/ocr.12492 },
year = {2021},
date = {2021-05-11},
urldate = {2021-05-11},
journal = {Orthod Craniofac Res},
abstract = {Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (C) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems. },
keywords = {AAOF, clinical orthodontist, Cone-beam computed tomography, Cranial base, craniofacial, hyperdivergent, malocclusion severity, mandibular asymmetry, Posttreatment, technique},
pubstate = {published},
tppubtype = {article}
}
Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (C) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems.
Boubolo, Louis; Dumont, Maxime; Brosset, Serge; Bianchi, Jonas; Ruellas, Antonio; Gurgel, Marcela; Massaro, Camila; Castillo, Aron Aliaga Del; Ioshida, Marcos; Yatabe, Marilia; Benavides, Erika; Rios, Hector; Soki, Fabiana; Neiva, Gisele; Paniagua, Beatriz; Cevidanes, Lucia; Styner, Martin; Prieto, Juan Carlos
FlyBy CNN: a 3D surface segmentation framework Journal Article
In: Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115962B , 2021.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, pressure tension, technique, vertical control
@article{Boubolo2021,
title = {FlyBy CNN: a 3D surface segmentation framework},
author = {Louis Boubolo and Maxime Dumont and Serge Brosset and Jonas Bianchi and Antonio Ruellas and Marcela Gurgel and Camila Massaro and Aron Aliaga Del Castillo and Marcos Ioshida and Marilia Yatabe and Erika Benavides and Hector Rios and Fabiana Soki and Gisele Neiva and Beatriz Paniagua and Lucia Cevidanes and Martin Styner and Juan Carlos Prieto},
url = {https://pubmed.ncbi.nlm.nih.gov/33758460/},
doi = {10.1117/12.2582205},
year = {2021},
date = {2021-02-15},
journal = {Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115962B },
abstract = {In this paper, we present FlyBy CNN, a novel deep learning based approach for 3D shape segmentation. FlyByCNN consists of sampling the surface of the 3D object from different view points and extracting surface features such as the normal vectors. The generated 2D images are then analyzed via 2D convolutional neural networks such as RUNETs. We test our framework in a dental application for segmentation of intra-oral surfaces. The RUNET is trained for the segmentation task using image pairs of surface features and image labels as ground truth. The resulting labels from each segmented image are put back into the surface thanks to our sampling approach that generates 1-1 correspondence of image pixels and triangles in the surface model. The segmentation task achieved an accuracy of 0.9.},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, pressure tension, technique, vertical control},
pubstate = {published},
tppubtype = {article}
}
In this paper, we present FlyBy CNN, a novel deep learning based approach for 3D shape segmentation. FlyByCNN consists of sampling the surface of the 3D object from different view points and extracting surface features such as the normal vectors. The generated 2D images are then analyzed via 2D convolutional neural networks such as RUNETs. We test our framework in a dental application for segmentation of intra-oral surfaces. The RUNET is trained for the segmentation task using image pairs of surface features and image labels as ground truth. The resulting labels from each segmented image are put back into the surface thanks to our sampling approach that generates 1-1 correspondence of image pixels and triangles in the surface model. The segmentation task achieved an accuracy of 0.9.
Brosset, Serge; Dumont, Maxime; Cevidanes, Lucia; Soroushmehr, Reza; Bianchi, Jonas; Gurgel, Marcela L; Deleat-besson, Romain; Le, Celia; Ruellas, Antonio; Yatabe, Marilia; Rosas, Liliane; Goncalves, Joao; Najarian, Kayvan; Gryak, Jonathan; Paniagua, Beatriz; Styner, Martin; Prieto, Juan Carlos
"Web infrastructure for data management, storage and computation", Proc. SPIE 11600, Journal Article
In: Proc SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1166001N, 2021.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, fixed appliances, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index
@article{Brosset2021,
title = {"Web infrastructure for data management, storage and computation", Proc. SPIE 11600,},
author = {Serge Brosset and Maxime Dumont and Lucia Cevidanes and Reza Soroushmehr and Jonas Bianchi and Marcela L Gurgel and Romain Deleat-besson and Celia Le and Antonio Ruellas and Marilia Yatabe and Liliane Rosas and Joao Goncalves and Kayvan Najarian and Jonathan Gryak and Beatriz Paniagua and Martin Styner and Juan Carlos Prieto},
url = {https://www.researchgate.net/publication/349303820_Web_Infrastructure_for_Data_Management_Storage_and_Computation},
doi = {10.1117/12.2582283},
year = {2021},
date = {2021-02-14},
journal = {Proc SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1166001N},
abstract = {The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharing, and task execution in remote computing grids. Here, we demonstrate the DSCI implementation and the deployment of Image processing tools (TMJSeg), machine learning algorithms (MandSeg, DentalModelSeg), and advanced statistical packages (Multivariate Functional Shape Data Analysis, MFSDA), with data transfer and task execution handled by the clusterpost plug-in. Due to its comprehensive web-based design, local software installation is no longer required. The DSCI aims to enable and maintain a distributed computing and collaboration environment across multi-site clinical centers for the data processing of multisource features such as clinical, biological markers, volumetric images, and 3D surface models, with particular emphasis on analytics for temporomandibular joint osteoarthritis (TMJ OA).},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, fixed appliances, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index},
pubstate = {published},
tppubtype = {article}
}
The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharing, and task execution in remote computing grids. Here, we demonstrate the DSCI implementation and the deployment of Image processing tools (TMJSeg), machine learning algorithms (MandSeg, DentalModelSeg), and advanced statistical packages (Multivariate Functional Shape Data Analysis, MFSDA), with data transfer and task execution handled by the clusterpost plug-in. Due to its comprehensive web-based design, local software installation is no longer required. The DSCI aims to enable and maintain a distributed computing and collaboration environment across multi-site clinical centers for the data processing of multisource features such as clinical, biological markers, volumetric images, and 3D surface models, with particular emphasis on analytics for temporomandibular joint osteoarthritis (TMJ OA).
Bianchi, J; Goncalves, J R; de Oliveira Ruellas, A C; Ashman, L M; Vimort, J-B; Yatabe, M; Paniagua, B; Hernandez, P; Benavides, E; Soki, F N; Loshida, M; Cevidanes, L H S
Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis. Journal Article
In: International Journal of Oral and Maxillofacial Surgery, vol. 50, no. 2, pp. 227-235, 2021.
Abstract | Links | BibTeX | Tags: AAOF, Adolescents, biomarkers, Cone-beam computed tomography, Cranial base, osteoarthritis, temporomandibular joint
@article{Bianchi2021b,
title = {Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis.},
author = {J Bianchi and J R Goncalves and A C de Oliveira Ruellas and L M Ashman and J-B Vimort and M Yatabe and B Paniagua and P Hernandez and E Benavides and F N Soki and M Loshida and L H S Cevidanes},
url = {https://pubmed.ncbi.nlm.nih.gov/32605824/},
doi = {10.1016/j.ijom.2020.04.018},
year = {2021},
date = {2021-02-00},
journal = {International Journal of Oral and Maxillofacial Surgery},
volume = {50},
number = {2},
pages = {227-235},
abstract = {Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann-Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P< 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.},
keywords = {AAOF, Adolescents, biomarkers, Cone-beam computed tomography, Cranial base, osteoarthritis, temporomandibular joint},
pubstate = {published},
tppubtype = {article}
}
Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann-Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P< 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.
2020
Serge, B; Maxime, D; Bianchi, J; Antonio, R; Lucia, C; Marilia, Y; Joao, G; Erika, C; Fabiana, S; Beatriz, P; Juan, P; Kayvan, N; Jonathan, G; Reza, S
3D Auto-Segmentation of Mandibular Condyles Journal Article
In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1270-1273, 2020.
Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, extraction, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, orthodontic, Peer Assessment Rating Index, Posttreatment, teaching
@article{Brosset2020,
title = {3D Auto-Segmentation of Mandibular Condyles},
author = {B Serge and D Maxime and J Bianchi and R Antonio and C Lucia and Y Marilia and G Joao and C Erika and S Fabiana and P Beatriz and P Juan and N Kayvan and G Jonathan and S Reza },
url = {https://pubmed.ncbi.nlm.nih.gov/33018219/},
doi = {10.1109/EMBC44109.2020.9175692},
year = {2020},
date = {2020-07-00},
urldate = {2020-07-00},
journal = {2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)},
pages = {1270-1273},
abstract = {Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. It has been shown that bone resorption at the condyle articular surface is already evident at initial diagnosis of TMJ Osteoarthritis (OA). Therefore, analyzing the bone structure will facilitate the disease diagnosis. The important step towards this analysis is the condyle segmentation. This article deals with a method to automatically segment the temporomandibular joint condyle out of cone beam CT (CBCT) scans. In the proposed method we denoise images and apply 3D active contour and morphological operations to segment the condyle. The experimental results show that the proposed method yields the Dice score of 0.9461 with the standards deviation of 0.0888 when it is applied on CBCT images of 95 patients. This segmentation will allow large datasets to be analyzed more efficiently towards data sciences and machine learning approaches for disease classification.},
keywords = {AAOF, Adolescents, anterior openbite, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, extraction, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, orthodontic, Peer Assessment Rating Index, Posttreatment, teaching},
pubstate = {published},
tppubtype = {article}
}
Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. It has been shown that bone resorption at the condyle articular surface is already evident at initial diagnosis of TMJ Osteoarthritis (OA). Therefore, analyzing the bone structure will facilitate the disease diagnosis. The important step towards this analysis is the condyle segmentation. This article deals with a method to automatically segment the temporomandibular joint condyle out of cone beam CT (CBCT) scans. In the proposed method we denoise images and apply 3D active contour and morphological operations to segment the condyle. The experimental results show that the proposed method yields the Dice score of 0.9461 with the standards deviation of 0.0888 when it is applied on CBCT images of 95 patients. This segmentation will allow large datasets to be analyzed more efficiently towards data sciences and machine learning approaches for disease classification.
K, Currie; H, Oh; C, Flores-Mir; M, Lagravere
CBCT assessment of posterior cranial base and surrounding structures in orthodontically treated adolescents. Int Orthod. Journal Article
In: Int Orthod, vol. 2, pp. 266-275, 2020.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, Mandibular fixed retainer, Mandibular remodeling, x-ray
@article{Currie2020,
title = {CBCT assessment of posterior cranial base and surrounding structures in orthodontically treated adolescents. Int Orthod.},
author = {Currie K and Oh H and Flores-Mir C and Lagravere M},
url = {https://pubmed.ncbi.nlm.nih.gov/32044297/},
doi = {10.1016/j.ortho.2020.01.004},
year = {2020},
date = {2020-06-18},
urldate = {2020-06-18},
journal = {Int Orthod},
volume = {2},
pages = {266-275},
abstract = { Understanding craniofacial growth and development is important for accurate diagnosis, treatment planning and post-treatment evaluation of orthodontic cases. Paramount to this is knowledge of the cranial base growth and development, since it is the foundation upon which the remaining facial structures develop. The purpose of this study was to analyse different anatomical structures in the posterior cranial base and determine its changes during the adolescent years (13-15 year of age) using CBCT.},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, Mandibular fixed retainer, Mandibular remodeling, x-ray},
pubstate = {published},
tppubtype = {article}
}
Understanding craniofacial growth and development is important for accurate diagnosis, treatment planning and post-treatment evaluation of orthodontic cases. Paramount to this is knowledge of the cranial base growth and development, since it is the foundation upon which the remaining facial structures develop. The purpose of this study was to analyse different anatomical structures in the posterior cranial base and determine its changes during the adolescent years (13-15 year of age) using CBCT.
Chen, G; Awadi, M Al; Chambers, D W; Lagravere-Vich, M O; Xu, Y; Oh, H
The three-dimensional stable mandibular landmarks in patients between the ages of 12.5 and 17.1 years. Journal Article
In: BMC Oral Health, vol. 20, no. 1, pp. 153, 2020.
Abstract | Links | BibTeX | Tags: AAOF, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, technique
@article{Chen2020,
title = {The three-dimensional stable mandibular landmarks in patients between the ages of 12.5 and 17.1 years.},
author = {G Chen and M Al Awadi and D W Chambers and M O Lagravere-Vich and Y Xu and H Oh },
url = {https://pubmed.ncbi.nlm.nih.gov/32460733/},
doi = {10.1186/s12903-020-01142-2},
year = {2020},
date = {2020-05-27},
urldate = {2020-05-27},
journal = {BMC Oral Health},
volume = {20},
number = {1},
pages = {153},
abstract = {With the aid of implants, Björk identified two-dimensional mandibular stable structures in cephalograms during facial growth. However, we do not know what the three-dimensional stable structures are with certainty. The purpose of this study was to identify the most stable mandibular landmarks in growing patients using three-dimensional images.},
keywords = {AAOF, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, technique},
pubstate = {published},
tppubtype = {article}
}
With the aid of implants, Björk identified two-dimensional mandibular stable structures in cephalograms during facial growth. However, we do not know what the three-dimensional stable structures are with certainty. The purpose of this study was to identify the most stable mandibular landmarks in growing patients using three-dimensional images.
J, Bianchi; Ruellas, A C De Oliveira; Goncalves, J R; Paniagua, B; Prieto, J C; Martin, S; Tengfei, Li; Hongtu, Zhu; James, S; William, G; Erika, B; Fabiana, Soki; Marilia, Yatabe; Lawrence, Ashman; David, W; Reza, Soroushmehr; Kayvan, N; Cevidanes, L H S
Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning. Journal Article
In: Scientific Reports, vol. 10, no. 1, pp. 8012, 2020.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, craniofacial, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, technique, vertical control, x-ray
@article{Bianchi2020b,
title = {Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.},
author = {Bianchi J and A C De Oliveira Ruellas and J R Goncalves and B Paniagua and J C Prieto and S Martin and Li Tengfei and Zhu Hongtu and S James and G William and B Erika and Soki Fabiana and Yatabe Marilia and Ashman Lawrence and W David and Soroushmehr Reza and N Kayvan and L H S Cevidanes },
url = {https://pubmed.ncbi.nlm.nih.gov/32415284/},
doi = {10.1038/s41598-020-64942-0},
year = {2020},
date = {2020-05-15},
urldate = {2020-05-15},
journal = {Scientific Reports},
volume = {10},
number = {1},
pages = {8012},
abstract = {After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthritis (OA) increases with aging, and the main goal is to diagnosis before morphological degeneration occurs. Here, we address this challenge using advanced data science to capture, process and analyze 52 clinical, biological and high-resolution CBCT (radiomics) markers from TMJ OA patients and controls. We tested the diagnostic performance of four machine learning models: Logistic Regression, Random Forest, LightGBM, XGBoost. Headaches, Range of mouth opening without pain, Energy, Haralick Correlation, Entropy and interactions of TGF-β1 in Saliva and Headaches, VE-cadherin in Serum and Angiogenin in Saliva, VE-cadherin in Saliva and Headaches, PA1 in Saliva and Headaches, PA1 in Saliva and Range of mouth opening without pain; Gender and Muscle Soreness; Short Run Low Grey Level Emphasis and Headaches, Inverse Difference Moment and Trabecular Separation accurately diagnose early stages of this clinical condition. Our results show the XGBoost + LightGBM model with these features and interactions achieves the accuracy of 0.823, AUC 0.870, and F1-score 0.823 to diagnose the TMJ OA status. Thus, we expect to boost future studies into osteoarthritis patient-specific therapeutic interventions, and thereby improve the health of articular joints.},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, craniofacial, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, technique, vertical control, x-ray},
pubstate = {published},
tppubtype = {article}
}
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthritis (OA) increases with aging, and the main goal is to diagnosis before morphological degeneration occurs. Here, we address this challenge using advanced data science to capture, process and analyze 52 clinical, biological and high-resolution CBCT (radiomics) markers from TMJ OA patients and controls. We tested the diagnostic performance of four machine learning models: Logistic Regression, Random Forest, LightGBM, XGBoost. Headaches, Range of mouth opening without pain, Energy, Haralick Correlation, Entropy and interactions of TGF-β1 in Saliva and Headaches, VE-cadherin in Serum and Angiogenin in Saliva, VE-cadherin in Saliva and Headaches, PA1 in Saliva and Headaches, PA1 in Saliva and Range of mouth opening without pain; Gender and Muscle Soreness; Short Run Low Grey Level Emphasis and Headaches, Inverse Difference Moment and Trabecular Separation accurately diagnose early stages of this clinical condition. Our results show the XGBoost + LightGBM model with these features and interactions achieves the accuracy of 0.823, AUC 0.870, and F1-score 0.823 to diagnose the TMJ OA status. Thus, we expect to boost future studies into osteoarthritis patient-specific therapeutic interventions, and thereby improve the health of articular joints.
Bianchi, J; Goncalves, J R; de Oliveira Ruellas, A C; Ashman, L M; Vimort, J B; Yatabe, M; Paniagua, B; Hernandez, P; Benavides, E; Soki, F N; Loshida, M; Cevidanes, L H S
Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis Journal Article
In: International Journal of Oral and Maxillofacial Surgery, vol. 50, no. 2, pp. 227-235, 2020.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, orthodontic, pressure tension, technique
@article{Bianchi2020,
title = {Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis},
author = {J Bianchi and J R Goncalves and A C de Oliveira Ruellas and L M Ashman and J B Vimort and M Yatabe and B Paniagua and P Hernandez and E Benavides and F N Soki and M Loshida and L H S Cevidanes},
url = {https://www.sciencedirect.com/science/article/pii/S0901502720301636#:~:text=%20Quantitative%20bone%20imaging%20biomarkers%20to%20diagnose%20temporomandibular,This%20study%20followe...%204%20References.%20%20More%20},
doi = {0.1016/j.ijom.2020.04.018},
year = {2020},
date = {2020-04-28},
urldate = {2020-04-28},
journal = {International Journal of Oral and Maxillofacial Surgery},
volume = {50},
number = {2},
pages = {227-235},
abstract = {Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, orthodontic, pressure tension, technique},
pubstate = {published},
tppubtype = {article}
}
Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.
Hardin, A; Valiathan, M; Oh, H; Knigge, R; McNulty, K; Leary, E; Duren, D; Sherwood, R
Clinical implications of age-related change of the mandibular plane angle. Journal Article
In: Orthod Craniofac Res, vol. 1, pp. 50-58, 2020.
Abstract | Links | BibTeX | Tags: Adolescents, Cone-beam computed tomography, Cranial base, craniofacial, fixed appliances, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, vertical control
@article{Hardin2020,
title = {Clinical implications of age-related change of the mandibular plane angle. },
author = {A Hardin and M Valiathan and H Oh and R Knigge and K McNulty and E Leary and D Duren and R Sherwood},
url = {https://pubmed.ncbi.nlm.nih.gov/31465622/},
doi = {10.1111/ocr.12342},
year = {2020},
date = {2020-02-23},
urldate = {2020-02-23},
journal = {Orthod Craniofac Res},
volume = {1},
pages = {50-58},
abstract = {To identify trajectories of ontogenetic change in the mandibular plane angle (MPA) and to describe the influence of sex and other factors on MPA during growth.},
keywords = {Adolescents, Cone-beam computed tomography, Cranial base, craniofacial, fixed appliances, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, vertical control},
pubstate = {published},
tppubtype = {article}
}
To identify trajectories of ontogenetic change in the mandibular plane angle (MPA) and to describe the influence of sex and other factors on MPA during growth.
2019
J, Bianchi; Joao, R C; Ruellas, A C De Oliveira; Vimort, J B; Yatabe, Marilia; Beatriz, P; Pablo, H; Erika, B; Fabiana, N S; Helena, S C Lucia
Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles. Journal Article
In: Dento Maxillo Facial Radiology, vol. 48, no. 6, 2019.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, software validation, temporomandibular joint disorders, tomography, X-ray computed
@article{Bianchi2019,
title = {Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles.},
author = {Bianchi J and R C Joao and A C De Oliveira Ruellas and J B Vimort and Marilia Yatabe and P Beatriz and H Pablo and B Erika and N S Fabiana and S C Lucia Helena },
url = {https://pubmed.ncbi.nlm.nih.gov/31075043/},
doi = {10.1259/dmfr.20190049},
year = {2019},
date = {2019-09-00},
urldate = {2019-09-00},
journal = {Dento Maxillo Facial Radiology},
volume = {48},
number = {6},
abstract = {Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles.},
keywords = {AAOF, Cone-beam computed tomography, software validation, temporomandibular joint disorders, tomography, X-ray computed},
pubstate = {published},
tppubtype = {article}
}
Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles.
Daniel, P O R; J, Bianchi; Jaqueline, I; Larry, M W; Joao, R G
Cone-beam computed tomography airway measurements: Can we trust them? Journal Article
In: Am J Orthod Dentofacial Orthop, vol. 156, no. 1, pp. 53-60, 2019.
Abstract | Links | BibTeX | Tags: Adolescents, Cone-beam computed tomography, Cranial base, Discrepency Index, fixed appliances, Growth, hyperdivergent, Mandibular fixed retainer, retrospective
@article{Ryan2019,
title = {Cone-beam computed tomography airway measurements: Can we trust them?},
author = {P O R Daniel and Bianchi J and I Jaqueline and M W Larry and R G Joao },
url = {https://pubmed.ncbi.nlm.nih.gov/31256838/},
doi = {10.1016/j.ajodo.2018.07.024},
year = {2019},
date = {2019-07-00},
urldate = {2019-07-00},
journal = {Am J Orthod Dentofacial Orthop},
volume = {156},
number = {1},
pages = {53-60},
abstract = {Pharyngeal airway space (PAS) assessment has been used in the past for a better understanding of orthodontic and surgical outcomes; however, this analysis could be unreliable. Our objective was to evaluate possible changes in the PAS reading in the same patient from their consecutive cone-beam computed tomography (CBCT) scans.},
keywords = {Adolescents, Cone-beam computed tomography, Cranial base, Discrepency Index, fixed appliances, Growth, hyperdivergent, Mandibular fixed retainer, retrospective},
pubstate = {published},
tppubtype = {article}
}
Pharyngeal airway space (PAS) assessment has been used in the past for a better understanding of orthodontic and surgical outcomes; however, this analysis could be unreliable. Our objective was to evaluate possible changes in the PAS reading in the same patient from their consecutive cone-beam computed tomography (CBCT) scans.
Oh, H; Knigge, R; Hardin, A; Sherwood, R; Duren, D; Valathan, M; Leary, E; McNulty, K
Predicting Adult Facial Type From Mandibular Landmark Data At Young Ages. Journal Article
In: Orthod Craniofac Res, vol. 1, pp. 154-162, 2019.
Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, Cone-beam computed tomography, Cranial base, Mandibular remodeling
@article{Oh2019,
title = {Predicting Adult Facial Type From Mandibular Landmark Data At Young Ages.},
author = {H Oh and R Knigge and A Hardin and R Sherwood and D Duren and M Valathan and E Leary and K McNulty},
url = {https://pubmed.ncbi.nlm.nih.gov/31074133/},
doi = {10.1111/ocr.12296.},
year = {2019},
date = {2019-05-22},
urldate = {2019-05-22},
journal = {Orthod Craniofac Res},
volume = {1},
pages = {154-162},
abstract = {To assess the potential of predicting adult facial types at different stages of mandibular development.},
keywords = {AAOF, anterior openbite, Cone-beam computed tomography, Cranial base, Mandibular remodeling},
pubstate = {published},
tppubtype = {article}
}
To assess the potential of predicting adult facial types at different stages of mandibular development.
Sam, A; Currie, K; Oh, H; Flores-Mir, C; Lagravere-Vich, M
Reliability of different 3D cephalometric landmarks in CBCT: A systematic review. Journal Article
In: Angle Orthod, vol. 89, no. 2, pp. 317-332, 2019.
Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, Cone-beam computed tomography, Cranial base, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling
@article{Sam2019,
title = {Reliability of different 3D cephalometric landmarks in CBCT: A systematic review.},
author = {A Sam and K Currie and H Oh and C Flores-Mir and M Lagravere-Vich},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120873/},
doi = {10.2319/042018-302.1},
year = {2019},
date = {2019-03-00},
urldate = {2019-03-00},
journal = {Angle Orthod},
volume = {89},
number = {2},
pages = {317-332},
abstract = {Conventional two-dimensional (2D) cephalometric radiography is an integral part of orthodontic patient diagnosis and treatment planning. One must be mindful of its limitations as it indeed is a 2D representation of a vaster three-dimensional (3D) object. Issues with projection errors, landmark identification, and measurement inaccuracies impose significant limitations, which may now be overcome with the advent of cone-beam computed tomography (CBCT). A systematic review of the reliability of different 3D cephalometric landmarks in CBCT imaging was conducted.},
keywords = {AAOF, anterior openbite, Cone-beam computed tomography, Cranial base, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling},
pubstate = {published},
tppubtype = {article}
}
Conventional two-dimensional (2D) cephalometric radiography is an integral part of orthodontic patient diagnosis and treatment planning. One must be mindful of its limitations as it indeed is a 2D representation of a vaster three-dimensional (3D) object. Issues with projection errors, landmark identification, and measurement inaccuracies impose significant limitations, which may now be overcome with the advent of cone-beam computed tomography (CBCT). A systematic review of the reliability of different 3D cephalometric landmarks in CBCT imaging was conducted.
Garnett, B; Mahod, K; Nguyen, M; Al-Khateeb, A; Liu, S; Boyd, R; Oh, H
Cephalometric comparison of adult anterior open bite treatment using clear aligners and fixed appliances. Journal Article
In: Angle Orthodontist, vol. 89, no. 1, pp. 3-9, 2019.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, extraction, fixed appliances, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, mapping, open bite, Peer Assessment Rating Index, Posttreatment, research, x-ray
@article{Garnett2019,
title = {Cephalometric comparison of adult anterior open bite treatment using clear aligners and fixed appliances.},
author = {B Garnett and K Mahod and M Nguyen and A Al-Khateeb and S Liu and R Boyd and H Oh},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137127/},
doi = {10.2319/010418-4.1},
year = {2019},
date = {2019-01-00},
journal = {Angle Orthodontist},
volume = {89},
number = {1},
pages = {3-9},
abstract = {To compare fixed appliances and clear aligner therapy in correcting anterior open bite and in controlling the vertical dimension in adult patients with hyperdivergent skeletal patterns.},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, extraction, fixed appliances, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, mapping, open bite, Peer Assessment Rating Index, Posttreatment, research, x-ray},
pubstate = {published},
tppubtype = {article}
}
To compare fixed appliances and clear aligner therapy in correcting anterior open bite and in controlling the vertical dimension in adult patients with hyperdivergent skeletal patterns.
2018
J, Bianchi; Guilherme, M P; Leonardo, K; Jaqueline, I; Larry, M W; Joao, R G
Three-dimensional stability analysis of maxillomandibular advancement surgery with and without articular disc repositioning Journal Article
In: J Craniomaxillofacial Surgery, vol. 46, no. 8, pp. 1348-1354, 2018.
Abstract | BibTeX | Tags: Cone-beam computed tomography, imaging, Orthognathic Surgery, Temporomandibular Joint Disc, three-dimensional
@article{Bianchi2018,
title = {Three-dimensional stability analysis of maxillomandibular advancement surgery with and without articular disc repositioning},
author = {Bianchi J and M P Guilherme and K Leonardo and I Jaqueline and M W Larry and R G Joao },
year = {2018},
date = {2018-08-00},
urldate = {2018-08-00},
journal = {J Craniomaxillofacial Surgery},
volume = {46},
number = {8},
pages = {1348-1354},
abstract = {This retrospective cohort study aimed to assess, three-dimensionally, mandible and maxilla changes following maxillomandibular advancement (MMA), with and without repositioning of TMJ articular discs. The sample comprised cone-beam computed tomography data from 32 subjects: group 1 (n = 12) without disc displacement and group 2 (n = 20) with bilateral disc repositioning. An automatic cranial base superimposition method was used to register the images at three time points: T1 (preoperative), T2 (postoperative), and T3 (at least 11 months follow-up). To assess surgical changes (T2-T1) and adaptive responses (T3-T2), the images were compared quantitatively and qualitatively using the shape correspondence method. The results showed that surgical displacements were similar in both groups for all the regions of interest except the condyles, which moved in opposite directions - group 1 to superior and posterior positions, and group 2 to inferior and anterior positions. For adaptive responses, we observed high individual variability, with lower variability in group 2. Sagittal relapse was similar in both groups. In conclusion, there were no significant differences in skeletal stability between the two groups. The maxillomandibular advancement surgeries, with rotation of the occlusal plane, had stable results for both groups immediately after surgery and at 1-year follow-up.},
keywords = {Cone-beam computed tomography, imaging, Orthognathic Surgery, Temporomandibular Joint Disc, three-dimensional},
pubstate = {published},
tppubtype = {article}
}
This retrospective cohort study aimed to assess, three-dimensionally, mandible and maxilla changes following maxillomandibular advancement (MMA), with and without repositioning of TMJ articular discs. The sample comprised cone-beam computed tomography data from 32 subjects: group 1 (n = 12) without disc displacement and group 2 (n = 20) with bilateral disc repositioning. An automatic cranial base superimposition method was used to register the images at three time points: T1 (preoperative), T2 (postoperative), and T3 (at least 11 months follow-up). To assess surgical changes (T2-T1) and adaptive responses (T3-T2), the images were compared quantitatively and qualitatively using the shape correspondence method. The results showed that surgical displacements were similar in both groups for all the regions of interest except the condyles, which moved in opposite directions - group 1 to superior and posterior positions, and group 2 to inferior and anterior positions. For adaptive responses, we observed high individual variability, with lower variability in group 2. Sagittal relapse was similar in both groups. In conclusion, there were no significant differences in skeletal stability between the two groups. The maxillomandibular advancement surgeries, with rotation of the occlusal plane, had stable results for both groups immediately after surgery and at 1-year follow-up.
Oscar, C L; Jonas, B; Dirceu, R; Joao, B N; Bernd, H
Mandible and skull segmentation in cone-beam computed tomography using super-voxels and graph clustering Journal Article
In: The Visual Computer, vol. 35, pp. 1461-1474, 2018.
Abstract | Links | BibTeX | Tags: bone segmentation, Cone-beam computed tomography, graph clustering, mandible, skull, super-voxels
@article{Linares2018,
title = {Mandible and skull segmentation in cone-beam computed tomography using super-voxels and graph clustering},
author = {C L Oscar and B Jonas and R Dirceu and B N Joao and H Bernd },
url = {https://link.springer.com/article/10.1007/s00371-018-1511-0},
doi = {https://doi.org/10.1007/s00371-018-1511-0},
year = {2018},
date = {2018-04-26},
urldate = {2018-04-26},
journal = {The Visual Computer},
volume = {35},
pages = {1461-1474},
abstract = {Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacial deformities. CBCT 3D reconstruction and segmentation of bones such as mandible or maxilla are essential procedures in surgical and orthodontic treatments. However, CBCT image processing may be impaired by features such as low contrast, inhomogeneity, noise and artifacts. Besides, values assigned to voxels are relative Hounsfield units unlike traditional computed tomography (CT). Such drawbacks render CBCT segmentation a difficult and time-consuming task, usually performed manually with tools designed for medical image processing. We present an interactive two-stage method for the segmentation of CBCT: (i) we first perform an automatic segmentation of bone structures with super-voxels, allowing a compact graph representation of the 3D data; (ii) next, a user-placed seed process guides a graph partitioning algorithm, splitting the extracted bones into mandible and skull. We have evaluated our segmentation method in three different scenarios and compared the results with ground truth data of the mandible and the skull. Results show that our method produces accurate segmentation and is robust to changes in parameters. We also compared our method with two similar segmentation strategy and showed that it produces more accurate segmentation. Finally, we evaluated our method for CT data of patients with deformed or missing bones and the segmentation was accurate for all data. The segmentation of a typical CBCT takes in average 5 min, which is faster than most techniques currently available.},
keywords = {bone segmentation, Cone-beam computed tomography, graph clustering, mandible, skull, super-voxels},
pubstate = {published},
tppubtype = {article}
}
Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacial deformities. CBCT 3D reconstruction and segmentation of bones such as mandible or maxilla are essential procedures in surgical and orthodontic treatments. However, CBCT image processing may be impaired by features such as low contrast, inhomogeneity, noise and artifacts. Besides, values assigned to voxels are relative Hounsfield units unlike traditional computed tomography (CT). Such drawbacks render CBCT segmentation a difficult and time-consuming task, usually performed manually with tools designed for medical image processing. We present an interactive two-stage method for the segmentation of CBCT: (i) we first perform an automatic segmentation of bone structures with super-voxels, allowing a compact graph representation of the 3D data; (ii) next, a user-placed seed process guides a graph partitioning algorithm, splitting the extracted bones into mandible and skull. We have evaluated our segmentation method in three different scenarios and compared the results with ground truth data of the mandible and the skull. Results show that our method produces accurate segmentation and is robust to changes in parameters. We also compared our method with two similar segmentation strategy and showed that it produces more accurate segmentation. Finally, we evaluated our method for CT data of patients with deformed or missing bones and the segmentation was accurate for all data. The segmentation of a typical CBCT takes in average 5 min, which is faster than most techniques currently available.
Liu, S; Oh, H; Chambers, D; Baumrind, S; Xu, T
Interpreting Weightings of the Peer Assessment Rating Index and the Discrepancy Index across Contexts on Chinese Patients. Journal Article
In: European Journal of Orthodontics, vol. 40, no. 2, pp. 157-163, 2018.
Abstract | Links | BibTeX | Tags: clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, malocclusion severity, mandibular asymmetry, Peer Assessment Rating Index, teaching, vertical control
@article{Liu2017b,
title = {Interpreting Weightings of the Peer Assessment Rating Index and the Discrepancy Index across Contexts on Chinese Patients.},
author = {S Liu and H Oh and D Chambers and S Baumrind and T Xu},
url = {https://pubmed.ncbi.nlm.nih.gov/28575327/},
doi = {10.1093/ejo/cjx043},
year = {2018},
date = {2018-04-06},
urldate = {2018-04-06},
journal = {European Journal of Orthodontics},
volume = {40},
number = {2},
pages = {157-163},
abstract = {Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients.},
keywords = {clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, malocclusion severity, mandibular asymmetry, Peer Assessment Rating Index, teaching, vertical control},
pubstate = {published},
tppubtype = {article}
}
Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients.
2017
J, Bianchi; Dos, S P Ary; Jaqueline, I; Daniel, P O R; Joao, R G
Effect of temporomandibular joint articular disc repositioning on anterior open-bite malocclusion: An orthodontic-surgical approach Journal Article
In: Am J Orthod Dentofacial Orthop, vol. 152, no. 6, pp. 848-858, 2017.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, orthodontic, retrospective, teaching, vertical control
@article{Bianchi2017,
title = {Effect of temporomandibular joint articular disc repositioning on anterior open-bite malocclusion: An orthodontic-surgical approach},
author = {Bianchi J and S P Ary Dos and I Jaqueline and P O R Daniel and R G Joao },
url = {https://www.sciencedirect.com/science/article/pii/S0889540617306121},
doi = {10.1016/j.ajodo.2016.09.032},
year = {2017},
date = {2017-12-00},
urldate = {2017-12-00},
journal = {Am J Orthod Dentofacial Orthop},
volume = {152},
number = {6},
pages = {848-858},
abstract = {An anterior open bite is a challenge to orthodontic treatment; it has a multifactorial etiology and a wide range ofintervention options. Temporomandibular joint (TMJ) disorders are a risk factor for the development of malocclu-sions such as the anterior open bite, especially in patients who have TMJ osteoarthritis with disc displacement.Articular disc repositioning surgery is an available option for treating this pathology, and it contributes to main-taining the condyles in a more stable position. The aim of this article was to report the case of a 20-year-oldwoman diagnosed with anterior open bite and TMJ osteoarthritis with bilateral disc displacement. The patientreceived both orthodontic treatment and TMJ disc repositioning surgery. Cone-beam computed tomographywas used to create 3-dimensional models of the condyles with regional superposition, and assessment ofbone remodeling was performed at different time intervals. Complete orthodontic and surgical treatment timewas approximately 12 months. The results provided a stable correction of the patient's anterior open bite witha 2-year follow-up and favorable bone remodeling of the condyles due to functional improvement of the TMJ.(Am J Orthod Dentofacial Orthop 2017;152:848-58)},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, orthodontic, retrospective, teaching, vertical control},
pubstate = {published},
tppubtype = {article}
}
An anterior open bite is a challenge to orthodontic treatment; it has a multifactorial etiology and a wide range ofintervention options. Temporomandibular joint (TMJ) disorders are a risk factor for the development of malocclu-sions such as the anterior open bite, especially in patients who have TMJ osteoarthritis with disc displacement.Articular disc repositioning surgery is an available option for treating this pathology, and it contributes to main-taining the condyles in a more stable position. The aim of this article was to report the case of a 20-year-oldwoman diagnosed with anterior open bite and TMJ osteoarthritis with bilateral disc displacement. The patientreceived both orthodontic treatment and TMJ disc repositioning surgery. Cone-beam computed tomographywas used to create 3-dimensional models of the condyles with regional superposition, and assessment ofbone remodeling was performed at different time intervals. Complete orthodontic and surgical treatment timewas approximately 12 months. The results provided a stable correction of the patient's anterior open bite witha 2-year follow-up and favorable bone remodeling of the condyles due to functional improvement of the TMJ.(Am J Orthod Dentofacial Orthop 2017;152:848-58)
Xu, Y; Oh, H; Lagravere-Vich, M
Malocclusion Class II-Division 1 skeletal and dental relationships measured by Cone-Beam Computed Tomography. Journal Article
In: International Journal of Orthodontics, vol. 15, no. 3, pp. 365-387, 2017.
Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, pressure tension, retrospective
@article{Xu2017,
title = {Malocclusion Class II-Division 1 skeletal and dental relationships measured by Cone-Beam Computed Tomography. },
author = {Y Xu and H Oh and M Lagravere-Vich},
url = {https://www.sciencedirect.com/science/article/pii/S1761722717300621},
doi = {10.1016/j.ortho.2017.06.014},
year = {2017},
date = {2017-09-00},
journal = {International Journal of Orthodontics},
volume = {15},
number = {3},
pages = {365-387},
abstract = {The purpose of this study was to locate traditionally-used landmarks in two-dimensional (2D) images and newly-suggested ones in three-dimensional (3D) images (cone-beam computer tomographies [CBCTs]) and determine possible relationships between them to categorize patients with Class II-1 malocclusion.},
keywords = {AAOF, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, pressure tension, retrospective},
pubstate = {published},
tppubtype = {article}
}
The purpose of this study was to locate traditionally-used landmarks in two-dimensional (2D) images and newly-suggested ones in three-dimensional (3D) images (cone-beam computer tomographies [CBCTs]) and determine possible relationships between them to categorize patients with Class II-1 malocclusion.
Hwang, HS; Oh, MH; Oh, HK
Surgery-first approach in correcting skeletal Class III malocclusion with mandibular asymmetry. Journal Article
In: Am J Orthod Dentofacial Orthop, vol. 152, no. 2, pp. 255-267, 2017.
Abstract | Links | BibTeX | Tags: AAOF, adult, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Cranial base, Discrepency Index, fixed appliances, malocclusion severity, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, pressure tension, retrospective
@article{Hwang2017b,
title = {Surgery-first approach in correcting skeletal Class III malocclusion with mandibular asymmetry. },
author = {HS Hwang and MH Oh and HK Oh},
url = {https://pubmed.ncbi.nlm.nih.gov/28760288/},
doi = {10.1016/j.ajodo.2014.10.040},
year = {2017},
date = {2017-08-00},
journal = {Am J Orthod Dentofacial Orthop},
volume = {152},
number = {2},
pages = {255-267},
abstract = {This case report describes a surgical orthodontic case that used the recently introduced surgery-first approach to correct a severe skeletal Class III malocclusion. A 19-year-old woman presented with severe mandibular prognathism and facial asymmetry; she had been waiting for growth completion in order to pursue surgical correction. After prediction of the postsurgical tooth movement and surgical simulation, 2-jaw surgery that included maxillary advancement and differential mandibular setback was performed using a surgery-first approach. Immediate facial improvement was achieved and postsurgical orthodontic treatment was efficiently carried out. The total treatment time was 16 months. The patient's facial appearance improved significantly and a stable surgical orthodontic outcome was obtained.},
keywords = {AAOF, adult, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Cranial base, Discrepency Index, fixed appliances, malocclusion severity, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, pressure tension, retrospective},
pubstate = {published},
tppubtype = {article}
}
This case report describes a surgical orthodontic case that used the recently introduced surgery-first approach to correct a severe skeletal Class III malocclusion. A 19-year-old woman presented with severe mandibular prognathism and facial asymmetry; she had been waiting for growth completion in order to pursue surgical correction. After prediction of the postsurgical tooth movement and surgical simulation, 2-jaw surgery that included maxillary advancement and differential mandibular setback was performed using a surgery-first approach. Immediate facial improvement was achieved and postsurgical orthodontic treatment was efficiently carried out. The total treatment time was 16 months. The patient's facial appearance improved significantly and a stable surgical orthodontic outcome was obtained.
Afrand, Mona; Oh, Heesoo; Flores-Mirand, Carlos; Lagravère-Vich, Manuel O.
Growth changes in the anterior and middle cranial bases assessed with cone-beam computed tomography in adolescents Journal Article
In: American Journal of Orthodontics and Dentofacial Orthopedics, vol. 151, no. 2, pp. 342-50, 2017.
Abstract | Links | BibTeX | Tags: Adolescents, Cone-beam computed tomography, Cranial base, Growth
@article{Afrand2017,
title = {Growth changes in the anterior and middle cranial bases assessed with cone-beam computed tomography in adolescents},
author = {Mona Afrand and Heesoo Oh and Carlos Flores-Mirand and Manuel O. Lagravère-Vich},
url = {http://162.214.24.32/~crilorg/wp-content/uploads/2018/11/Growth-changes-in-the-anterior-and-middel-cranial-base.pdf},
year = {2017},
date = {2017-02-01},
journal = {American Journal of Orthodontics and Dentofacial Orthopedics},
volume = {151},
number = {2},
pages = {342-50},
abstract = {Introduction: Initially, cone-beam computed tomography images from dry skulls were used to 3 dimensionally evaluate intrarater and interrater reliabilities and accuracy of selected 3-dimensional landmarks located in the anterior and middle cranial bases. Thereafter, dimensional changes of the anterior and middle cranial bases with growth were evaluated by using the previously selected landmarks.
Methods: Cone-beam computed tomography images of 10 dry skulls were used to identify useful landmarks from different areas of the anterior and middle cranial bases based on their reliability and accuracy. These selected landmarks were identified in the images of an already available sample of adolescents (n 560) taken at 2 time points (19 months apart) to assess dimensional changes with growth.
Results: The majority of the proposed 3-dimensional landmarks with the exception of the lesser wing of the sphenoid showed acceptable intrarater and interrater reliabilities. The distances measured between foramina and canals in the transverse dimension showed evidence of increases in size. However, the mean amounts of increase in these transverse distances were equal to or less than 1.05 mm (from 1.1% to 4.1%). No change was observed between the right and left anterior and posterior clinoid processes. The vertical dimensions showed evidence of some changes, but these were within 2% of the original distances.
Conclusions: In this adolescent sample, minor growth-related changes were observed in the anterior and middle cranial bases. The midsagittal area of the anterior cranial base (foramen caecum to presphenoid) was stable. The right and left anterior and posterior clinoid processes can be used for transverse superimposition. (Am J Orthod Dentofacial Orthop 2017; 151:342-50)},
keywords = {Adolescents, Cone-beam computed tomography, Cranial base, Growth},
pubstate = {published},
tppubtype = {article}
}
Introduction: Initially, cone-beam computed tomography images from dry skulls were used to 3 dimensionally evaluate intrarater and interrater reliabilities and accuracy of selected 3-dimensional landmarks located in the anterior and middle cranial bases. Thereafter, dimensional changes of the anterior and middle cranial bases with growth were evaluated by using the previously selected landmarks.
Methods: Cone-beam computed tomography images of 10 dry skulls were used to identify useful landmarks from different areas of the anterior and middle cranial bases based on their reliability and accuracy. These selected landmarks were identified in the images of an already available sample of adolescents (n 560) taken at 2 time points (19 months apart) to assess dimensional changes with growth.
Results: The majority of the proposed 3-dimensional landmarks with the exception of the lesser wing of the sphenoid showed acceptable intrarater and interrater reliabilities. The distances measured between foramina and canals in the transverse dimension showed evidence of increases in size. However, the mean amounts of increase in these transverse distances were equal to or less than 1.05 mm (from 1.1% to 4.1%). No change was observed between the right and left anterior and posterior clinoid processes. The vertical dimensions showed evidence of some changes, but these were within 2% of the original distances.
Conclusions: In this adolescent sample, minor growth-related changes were observed in the anterior and middle cranial bases. The midsagittal area of the anterior cranial base (foramen caecum to presphenoid) was stable. The right and left anterior and posterior clinoid processes can be used for transverse superimposition. (Am J Orthod Dentofacial Orthop 2017; 151:342-50)
Methods: Cone-beam computed tomography images of 10 dry skulls were used to identify useful landmarks from different areas of the anterior and middle cranial bases based on their reliability and accuracy. These selected landmarks were identified in the images of an already available sample of adolescents (n 560) taken at 2 time points (19 months apart) to assess dimensional changes with growth.
Results: The majority of the proposed 3-dimensional landmarks with the exception of the lesser wing of the sphenoid showed acceptable intrarater and interrater reliabilities. The distances measured between foramina and canals in the transverse dimension showed evidence of increases in size. However, the mean amounts of increase in these transverse distances were equal to or less than 1.05 mm (from 1.1% to 4.1%). No change was observed between the right and left anterior and posterior clinoid processes. The vertical dimensions showed evidence of some changes, but these were within 2% of the original distances.
Conclusions: In this adolescent sample, minor growth-related changes were observed in the anterior and middle cranial bases. The midsagittal area of the anterior cranial base (foramen caecum to presphenoid) was stable. The right and left anterior and posterior clinoid processes can be used for transverse superimposition. (Am J Orthod Dentofacial Orthop 2017; 151:342-50)
Afrand, M; Oh, H; Flores-Mir, C; Lagravere-Vich, M
Growth changes in the anterior and middle cranial bases as assessed through cone-beam computed tomography in adolescents. Journal Article
In: Am J Orthod Dentofacial Orthop, vol. 151, no. 2, pp. 342-350, 2017.
Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, orthodontic, Peer Assessment Rating Index, Posttreatment, retrospective, technique
@article{Afrand2017b,
title = {Growth changes in the anterior and middle cranial bases as assessed through cone-beam computed tomography in adolescents.},
author = {M Afrand and H Oh and C Flores-Mir and M Lagravere-Vich},
url = {https://www.sciencedirect.com/science/article/pii/S0889540616307405},
doi = {10.1016/j.ajodo.2016.02.032},
year = {2017},
date = {2017-02-00},
journal = {Am J Orthod Dentofacial Orthop},
volume = {151},
number = {2},
pages = {342-350},
abstract = {Initially, cone-beam computed tomography images from dry skulls were used to 3 dimensionallyevaluate intrarater and interrater reliabilities and accuracy of selected 3-dimensional landmarks located in theanterior and middle cranial bases. Thereafter, dimensional changes of the anterior and middle cranial baseswith growth were evaluated by using the previously selected landmarks.Methods:Cone-beam computed to-mography images of 10 dry skulls were used to identify useful landmarks from different areas of the anteriorand middle cranial bases based on their reliability and accuracy. These selected landmarks were identified inthe images of an already available sample of adolescents (n560) taken at 2 time points (19 months apart)to assess dimensional changes with growth.Results:The majority of the proposed 3-dimensional landmarkswith the exception of the lesser wing of the sphenoid showed acceptable intrarater and interrater reliabilities.The distances measured between foramina and canals in the transverse dimension showed evidence ofincreases in size. However, the mean amounts of increase in these transverse distances were equal to orless than 1.05 mm (from 1.1% to 4.1%). No change was observed between the right and left anterior andposterior clinoid processes. The vertical dimensions showed evidence of some changes, but these werewithin 2% of the original distances.Conclusions:In this adolescent sample, minor growth-related changeswere observed in the anterior and middle cranial bases. The midsagittal area of the anterior cranial base(foramen caecum to presphenoid) was stable. The right and left anterior and posterior clinoid processes canbe used for transverse superimposition. (Am J Orthod Dentofacial Orthop 2017;151:342-50)},
keywords = {AAOF, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, orthodontic, Peer Assessment Rating Index, Posttreatment, retrospective, technique},
pubstate = {published},
tppubtype = {article}
}
Initially, cone-beam computed tomography images from dry skulls were used to 3 dimensionallyevaluate intrarater and interrater reliabilities and accuracy of selected 3-dimensional landmarks located in theanterior and middle cranial bases. Thereafter, dimensional changes of the anterior and middle cranial baseswith growth were evaluated by using the previously selected landmarks.Methods:Cone-beam computed to-mography images of 10 dry skulls were used to identify useful landmarks from different areas of the anteriorand middle cranial bases based on their reliability and accuracy. These selected landmarks were identified inthe images of an already available sample of adolescents (n560) taken at 2 time points (19 months apart)to assess dimensional changes with growth.Results:The majority of the proposed 3-dimensional landmarkswith the exception of the lesser wing of the sphenoid showed acceptable intrarater and interrater reliabilities.The distances measured between foramina and canals in the transverse dimension showed evidence ofincreases in size. However, the mean amounts of increase in these transverse distances were equal to orless than 1.05 mm (from 1.1% to 4.1%). No change was observed between the right and left anterior andposterior clinoid processes. The vertical dimensions showed evidence of some changes, but these werewithin 2% of the original distances.Conclusions:In this adolescent sample, minor growth-related changeswere observed in the anterior and middle cranial bases. The midsagittal area of the anterior cranial base(foramen caecum to presphenoid) was stable. The right and left anterior and posterior clinoid processes canbe used for transverse superimposition. (Am J Orthod Dentofacial Orthop 2017;151:342-50)
Oh, H; Baumrind, S; Dugoni, S; Boero, R; Aubert, M; Boyd, R
A retrospective study of Class II mixed-dentition treatment. Journal Article
In: Angle Orthodontist, vol. 87, no. 1, pp. 56-67, 2017.
Abstract | Links | BibTeX | Tags: AAOF, clinical orthodontist, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, Mandibular remodeling, mapping, technique, vertical control, x-ray
@article{Oh2017,
title = {A retrospective study of Class II mixed-dentition treatment. },
author = {H Oh and S Baumrind and S Dugoni and R Boero and M Aubert and R Boyd},
url = {https://pubmed.ncbi.nlm.nih.gov/27391205/},
doi = {10.2319/012616-72.1},
year = {2017},
date = {2017-01-00},
journal = {Angle Orthodontist},
volume = {87},
number = {1},
pages = {56-67},
abstract = {To consider the effectiveness of early treatment using one mixed-dentition approach to the correction of moderate and severe Class II malocclusions.},
keywords = {AAOF, clinical orthodontist, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, Mandibular remodeling, mapping, technique, vertical control, x-ray},
pubstate = {published},
tppubtype = {article}
}
To consider the effectiveness of early treatment using one mixed-dentition approach to the correction of moderate and severe Class II malocclusions.
2016
Oh, H; Ma, N; Feng, P; Kieu, K; Boero, R; Dugoni, S; Aubert, M; Chambers, D
Evaluation of Post-treatment stability following orthodontic treatment in the mixed and permanent dentitions. Journal Article
In: Angle Orthodontist, vol. 86, no. 6, pp. 1010-1018, 2016.
Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, hyperdivergent, Peer Assessment Rating Index, Posttreatment, pressure tension, research, retrospective, technique
@article{Oh2016b,
title = {Evaluation of Post-treatment stability following orthodontic treatment in the mixed and permanent dentitions.},
author = {H Oh and N Ma and P Feng and K Kieu and R Boero and S Dugoni and M Aubert and D Chambers},
url = {https://pubmed.ncbi.nlm.nih.gov/27214339/},
doi = {10.2319/122315-881.1},
year = {2016},
date = {2016-11-00},
journal = {Angle Orthodontist},
volume = {86},
number = {6},
pages = {1010-1018},
abstract = {To investigate posttreatment changes in the maxillary and mandibular arches in patients who underwent orthodontic treatment during the mixed and permanent dentitions.},
keywords = {AAOF, Cone-beam computed tomography, Cranial base, hyperdivergent, Peer Assessment Rating Index, Posttreatment, pressure tension, research, retrospective, technique},
pubstate = {published},
tppubtype = {article}
}
To investigate posttreatment changes in the maxillary and mandibular arches in patients who underwent orthodontic treatment during the mixed and permanent dentitions.
2014
Oh, H; Herchold, K; et al,
Orthodontic tooth movement through the maxillary sinus in an adult patient with multiple missing teeth. Journal Article
In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 146, no. 4, pp. 493-505, 2014.
Abstract | Links | BibTeX | Tags: Cone-beam computed tomography, fixed appliances, Growth, hyperdivergent, orthodontic, Peer Assessment Rating Index, research, vertical control
@article{Oh2014,
title = {Orthodontic tooth movement through the maxillary sinus in an adult patient with multiple missing teeth. },
author = {H Oh and K Herchold and et al},
url = {https://pubmed.ncbi.nlm.nih.gov/25263152/},
doi = {10.1016/j.ajodo.2014.03.025},
year = {2014},
date = {2014-10-00},
journal = {American Journal of Orthodontics & Dentofacial Orthopedics},
volume = {146},
number = {4},
pages = {493-505},
abstract = {This case report describes the successful orthodontic tooth movement through the maxillary sinus in an adult patient. A 41-year-old Asian woman had severe lip protrusion and multiple missing posterior teeth. Her orthodontic treatment included the extraction of 2 teeth, maximum retraction of the incisors using the extraction spaces and the existing spaces from the missing molars, and closure of all remaining spaces. Even though the treatment time was extended because of the anatomic and biologic challenges associated with moving posterior teeth over a long distance through the maxillary sinus, a successful outcome was obtained, with significant bone modeling of the maxillary sinus. The results demonstrate that a carefully selected force system can overcome the anatomic limitations of moving tooth against the cortical bone of the maxillary sinus wall in adult patients.},
keywords = {Cone-beam computed tomography, fixed appliances, Growth, hyperdivergent, orthodontic, Peer Assessment Rating Index, research, vertical control},
pubstate = {published},
tppubtype = {article}
}
This case report describes the successful orthodontic tooth movement through the maxillary sinus in an adult patient. A 41-year-old Asian woman had severe lip protrusion and multiple missing posterior teeth. Her orthodontic treatment included the extraction of 2 teeth, maximum retraction of the incisors using the extraction spaces and the existing spaces from the missing molars, and closure of all remaining spaces. Even though the treatment time was extended because of the anatomic and biologic challenges associated with moving posterior teeth over a long distance through the maxillary sinus, a successful outcome was obtained, with significant bone modeling of the maxillary sinus. The results demonstrate that a carefully selected force system can overcome the anatomic limitations of moving tooth against the cortical bone of the maxillary sinus wall in adult patients.
2010
Xu, T-M; Zhang, X; Oh, HS; Boyd, R; Korn, El; Baumrind, S
A Randomized Clinical Trial (RCT) Comparing Maxillary Molar Anchorage Loss Using Two Retraction Techniques. Journal Article
In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 138, no. 5, pp. 544-5, 2010.
Abstract | Links | BibTeX | Tags: adult, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, open bite, orthodontic, Peer Assessment Rating Index, retrospective
@article{Xu2010,
title = {A Randomized Clinical Trial (RCT) Comparing Maxillary Molar Anchorage Loss Using Two Retraction Techniques.},
author = {T-M Xu and X Zhang and HS Oh and R Boyd and El Korn and S Baumrind},
url = {https://pubmed.ncbi.nlm.nih.gov/21055588/},
doi = {10.1016/j.ajodo.2009.12.027},
year = {2010},
date = {2010-11-00},
journal = {American Journal of Orthodontics & Dentofacial Orthopedics},
volume = {138},
number = {5},
pages = {544-5},
abstract = {The objective of this pilot randomized clinical trial was to investigate the relative effectiveness of anchorage conservation of en-masse and 2-step retraction techniques during maximum anchorage treatment in patients with Angle Class I and Class II malocclusions.},
keywords = {adult, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, open bite, orthodontic, Peer Assessment Rating Index, retrospective},
pubstate = {published},
tppubtype = {article}
}
The objective of this pilot randomized clinical trial was to investigate the relative effectiveness of anchorage conservation of en-masse and 2-step retraction techniques during maximum anchorage treatment in patients with Angle Class I and Class II malocclusions.
2009
Oh, HS; Korn, EL; Zhang, XY; Liu, Y; Xu, T-M; Boyd, R; Baumrind, S
In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 136, no. 6, pp. e1-14; discussion 762-3, 2009.
Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment
@article{Oh2009,
title = {Correlation between cephalometric and photographic measurements of facial attractiveness in Chinese and U.S. patients at the end of orthodontic treatment.},
author = {HS Oh and EL Korn and XY Zhang and Y Liu and T-M Xu and R Boyd and S Baumrind},
url = {https://pubmed.ncbi.nlm.nih.gov/19962590/},
doi = {10.1016/j.ajodo.2009.04.020},
year = {2009},
date = {2009-12-00},
journal = {American Journal of Orthodontics & Dentofacial Orthopedics},
volume = {136},
number = {6},
pages = {e1-14; discussion 762-3},
abstract = {Orthodontists rely on esthetic judgments from facial photographs. Concordance between estimates of facial attractiveness made from lateral cephalograms and those made from clinical photographs has not been determined. We conducted a preliminary examination to correlate clinicians' rankings of facial attractiveness from standardized end-of-treatment facial photographs (Photo Attractiveness Rank) with cephalometric measurements of facial attractiveness made for the same subjects at the same time.},
keywords = {AAOF, Adolescents, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment},
pubstate = {published},
tppubtype = {article}
}
Orthodontists rely on esthetic judgments from facial photographs. Concordance between estimates of facial attractiveness made from lateral cephalograms and those made from clinical photographs has not been determined. We conducted a preliminary examination to correlate clinicians' rankings of facial attractiveness from standardized end-of-treatment facial photographs (Photo Attractiveness Rank) with cephalometric measurements of facial attractiveness made for the same subjects at the same time.
Lui, Y; Korn, EL; Oh, HS; Pearson, H; Xu, T-M; Baumrind, S
Comparison of Chinese and U.S. Orthodontists' Averaged Evaluations of "Facial Attractiveness" from End-of-Treatment Facial Photographs. Journal Article
In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 135, no. 5, pp. 621-34, 2009.
Abstract | Links | BibTeX | Tags: AAOF, Adolescents, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, Growth, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, technique, vertical control, x-ray
@article{Liu2009,
title = {Comparison of Chinese and U.S. Orthodontists' Averaged Evaluations of "Facial Attractiveness" from End-of-Treatment Facial Photographs. },
author = {Y Lui and EL Korn and HS Oh and H Pearson and T-M Xu and S Baumrind},
url = {https://pubmed.ncbi.nlm.nih.gov/19409345/},
doi = {10.1016/j.ajodo.2007.04.039},
year = {2009},
date = {2009-05-00},
journal = {American Journal of Orthodontics & Dentofacial Orthopedics},
volume = {135},
number = {5},
pages = {621-34},
abstract = {This study continues our assessment of agreement and disagreement among 25 Chinese and 20 US orthodontists in the ranking for facial attractiveness of end-of-treatment photographs of randomly sampled growing Chinese and white orthodontic patients. The main aims of this article were to (1) measure the overall pattern of agreement between the mean rankings of US and Chinese orthodontists, and (2) measure the strength of agreement between the rankings of the US and Chinese orthodontists for each patient.},
keywords = {AAOF, Adolescents, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, Growth, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, technique, vertical control, x-ray},
pubstate = {published},
tppubtype = {article}
}
This study continues our assessment of agreement and disagreement among 25 Chinese and 20 US orthodontists in the ranking for facial attractiveness of end-of-treatment photographs of randomly sampled growing Chinese and white orthodontic patients. The main aims of this article were to (1) measure the overall pattern of agreement between the mean rankings of US and Chinese orthodontists, and (2) measure the strength of agreement between the rankings of the US and Chinese orthodontists for each patient.
2008
Xu, T-M; Korn, EL; Liu, Y; Oh, HS; Lee, KH; Baumrind, S
"Facial Attractiveness": Ranking of End-of-Treatment Facial Photographs by Chinese and U.S. Orthodontists. Journal Article
In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 134, no. 1, pp. 74-84, 2008.
Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, open bite, retrospective
@article{Xu2008,
title = {"Facial Attractiveness": Ranking of End-of-Treatment Facial Photographs by Chinese and U.S. Orthodontists.},
author = {T-M Xu and EL Korn and Y Liu and HS Oh and KH Lee and S Baumrind},
url = {https://pubmed.ncbi.nlm.nih.gov/18617106/},
doi = {10.1016/j.ajodo.2006.08.023},
year = {2008},
date = {2008-07-00},
journal = {American Journal of Orthodontics & Dentofacial Orthopedics},
volume = {134},
number = {1},
pages = {74-84},
abstract = {In this study, we assessed agreement and disagreement among pairs of Chinese and US orthodontists in the ranking for "facial attractiveness" of end-of-treatment photographs of growing Chinese and white orthodontic patients.},
keywords = {AAOF, Adolescents, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, open bite, retrospective},
pubstate = {published},
tppubtype = {article}
}
In this study, we assessed agreement and disagreement among pairs of Chinese and US orthodontists in the ranking for "facial attractiveness" of end-of-treatment photographs of growing Chinese and white orthodontic patients.
2001
SK, Lee; YS, Kim; HS, Oh; KH, Yang; EC, Kim; JG, Chi
Prenatal development of the human mandible. Journal Article
In: The Anatomical Record, vol. 263, no. 3, pp. 314-25, 2001.
Abstract | Links | BibTeX | Tags: adult, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, craniofacial, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Posttreatment, pressure tension
@article{Lee2001,
title = {Prenatal development of the human mandible. },
author = {Lee SK and Kim YS and Oh HS and Yang KH and Kim EC and Chi JG},
url = {https://pubmed.ncbi.nlm.nih.gov/11455541/},
doi = {10.1002/ar.1110},
year = {2001},
date = {2001-07-01},
journal = {The Anatomical Record},
volume = {263},
number = {3},
pages = {314-25},
abstract = {In an effort to better understand the interrelationship of the growth and development pattern of the mandible and condyle, a sequential growth pattern of human mandibles in 38 embryos and 111 fetuses were examined by serial histological sections and soft X-ray views. The basic growth pattern of the mandibular body and condyle appeared in week 7 of fertilization. Histologically, the embryonal mandible originated from primary intramembranous ossification in the fibrous mesenchymal tissue around the Meckel cartilage. From this initial ossification, the ramifying trabecular bones developed forward, backward and upward, to form the symphysis, mandibular body, and coronoid process, respectively. We named this initial ossification site of embryonal mandible as the mandibular primary growth center (MdPGC). During week 8 of fertilization, the trabecular bone of the mandibular body grew rapidly to form muscular attachments to the masseter, temporalis, and pterygoid muscles. The mandible was then rapidly separated from the Meckel cartilage and formed a condyle blastema at the posterior end of linear mandibular trabeculae. The condyle blastema, attached to the upper part of pterygoid muscle, grew backward and upward and concurrent endochondral ossification resulted in the formation of the condyle. From week 14 of fertilization, the growth of conical structure of condyle became apparent on histological and radiological examinations. The mandibular body showed a conspicuous radiating trabecular growth pattern centered at the MdPGC, located around the apical area of deciduous first molar. The condyle growth showed characteristic conical structure and abundant hematopoietic tissue in the marrow. The growth of the proximal end of condyle was also approximated to the MdPGC on radiograms. Taken together, we hypothesized that the MdPGC has an important morphogenetic affect for the development of the human mandible, providing a growth center for the trabecular bone of mandibular body and also indicating the initial growth of endochondral ossification of the condyle.},
keywords = {adult, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, craniofacial, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Posttreatment, pressure tension},
pubstate = {published},
tppubtype = {article}
}
In an effort to better understand the interrelationship of the growth and development pattern of the mandible and condyle, a sequential growth pattern of human mandibles in 38 embryos and 111 fetuses were examined by serial histological sections and soft X-ray views. The basic growth pattern of the mandibular body and condyle appeared in week 7 of fertilization. Histologically, the embryonal mandible originated from primary intramembranous ossification in the fibrous mesenchymal tissue around the Meckel cartilage. From this initial ossification, the ramifying trabecular bones developed forward, backward and upward, to form the symphysis, mandibular body, and coronoid process, respectively. We named this initial ossification site of embryonal mandible as the mandibular primary growth center (MdPGC). During week 8 of fertilization, the trabecular bone of the mandibular body grew rapidly to form muscular attachments to the masseter, temporalis, and pterygoid muscles. The mandible was then rapidly separated from the Meckel cartilage and formed a condyle blastema at the posterior end of linear mandibular trabeculae. The condyle blastema, attached to the upper part of pterygoid muscle, grew backward and upward and concurrent endochondral ossification resulted in the formation of the condyle. From week 14 of fertilization, the growth of conical structure of condyle became apparent on histological and radiological examinations. The mandibular body showed a conspicuous radiating trabecular growth pattern centered at the MdPGC, located around the apical area of deciduous first molar. The condyle growth showed characteristic conical structure and abundant hematopoietic tissue in the marrow. The growth of the proximal end of condyle was also approximated to the MdPGC on radiograms. Taken together, we hypothesized that the MdPGC has an important morphogenetic affect for the development of the human mandible, providing a growth center for the trabecular bone of mandibular body and also indicating the initial growth of endochondral ossification of the condyle.
0000
C, Thereza-Bussolaro; HS, Oh; M, Lagravere; C, Flores-Mir
Pharyngeal dimensional changes in class II malocclusion treatment when using Forsus® or intermaxillary elastics - An exploratory study. Journal Article
In: Int Orthod, vol. 17, no. 4, pp. 667-677, 0000.
Abstract | Links | BibTeX | Tags: AAOF, adult, clear aligners, Cone-beam computed tomography, Cranial base, craniofacial, Mandibular fixed retainer, Mandibular remodeling, Peer Assessment Rating Index, pressure tension, research, teaching, technique, vertical control
@article{Bussolaro2019,
title = {Pharyngeal dimensional changes in class II malocclusion treatment when using Forsus® or intermaxillary elastics - An exploratory study.},
author = {Thereza-Bussolaro C and Oh HS and Lagravere M and Flores-Mir C },
url = {https://pubmed.ncbi.nlm.nih.gov/31492602/},
doi = {10.1016/j.ortho.2019.08.023},
journal = {Int Orthod},
volume = {17},
number = {4},
pages = {667-677},
abstract = {Pharyngeal airway obstruction can facilitate some forms of sleep disorder breathing (SDB) in susceptible children, especially in those having class II malocclusion. Changes in the anatomic areas surrounding the pharyngeal region during orthodontic treatment could hypothetically impact the pharyngeal airway dimensions. Management of a class II malocclusion on a growing individual with either intermaxillary elastics or different removable or fixed class II appliance designs have been proposed over the last century. The objective of this retrospective exploratory cohort study is to investigate to what extent the class II malocclusion treatment with either intermaxillary elastics (IME) or Forsus® fatigue resistance device (FFRD) leads to changes in oropharyngeal airway dimensions.},
keywords = {AAOF, adult, clear aligners, Cone-beam computed tomography, Cranial base, craniofacial, Mandibular fixed retainer, Mandibular remodeling, Peer Assessment Rating Index, pressure tension, research, teaching, technique, vertical control},
pubstate = {published},
tppubtype = {article}
}
Pharyngeal airway obstruction can facilitate some forms of sleep disorder breathing (SDB) in susceptible children, especially in those having class II malocclusion. Changes in the anatomic areas surrounding the pharyngeal region during orthodontic treatment could hypothetically impact the pharyngeal airway dimensions. Management of a class II malocclusion on a growing individual with either intermaxillary elastics or different removable or fixed class II appliance designs have been proposed over the last century. The objective of this retrospective exploratory cohort study is to investigate to what extent the class II malocclusion treatment with either intermaxillary elastics (IME) or Forsus® fatigue resistance device (FFRD) leads to changes in oropharyngeal airway dimensions.
Phi, L; Albertson, B; Hatcher, D; Rathi, S; Park, J; Oh, H
Condylar degeneration in anterior open bite patients: A cone-beam computed tomography (CBCT) study. Journal Article
In: Oral Surgery Oral Med Oral Path Oral Radiology , vol. 133, iss. 2, pp. 221-228, 2022.
@article{Oh2022g,
title = {Condylar degeneration in anterior open bite patients: A cone-beam computed tomography (CBCT) study.},
author = {L Phi and B Albertson and D Hatcher and S Rathi and J Park and H Oh },
url = {https://pubmed.ncbi.nlm.nih.gov/34503937/},
doi = {10.1016/j.oooo.2021.07.019},
year = {2022},
date = {2022-02-01},
journal = {Oral Surgery Oral Med Oral Path Oral Radiology },
volume = {133},
issue = {2},
pages = {221-228},
abstract = {Objectives: The purpose of this study was to investigate the prevalence of condylar degeneration in patients with anterior open bites (AOB).
Study design: Cone beam computed tomography (CBCT) scans of 194 patients with AOB (108 with skeletal open bites and 86 with dental open bites) and 100 patients serving as controls were included in this retrospective study. Two oral and maxillofacial radiologists categorized each of the 588 condyles as normal, degenerative-active, or degenerative-repair. The χ2 analysis with Bonferroni adjustment was used to evaluate the relationship of condylar status (normal vs degenerative) to anterior open bites.
Results: Of the 103 degenerative condyles, there were 59 in the group with skeletal open bites, 14 in the group with dental open bites, and 30 in the control group. Condylar degeneration occurred twice as frequently in patients with skeletal open bites as it did in the control group (P < .0001). Conversely, a greater frequency of normal condyles was found in the group of patients with dental open bites (P = .0002). The group with skeletal open bites also showed a significantly higher frequency of bilateral degenerative condyles (P = .0001). The frequency of condylar degeneration did not differ significantly between female and male individuals.
Conclusions: Degenerative condylar change was significantly more likely in patients with skeletal open bites and less likely in patients with dental open bites.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objectives: The purpose of this study was to investigate the prevalence of condylar degeneration in patients with anterior open bites (AOB).
Study design: Cone beam computed tomography (CBCT) scans of 194 patients with AOB (108 with skeletal open bites and 86 with dental open bites) and 100 patients serving as controls were included in this retrospective study. Two oral and maxillofacial radiologists categorized each of the 588 condyles as normal, degenerative-active, or degenerative-repair. The χ2 analysis with Bonferroni adjustment was used to evaluate the relationship of condylar status (normal vs degenerative) to anterior open bites.
Results: Of the 103 degenerative condyles, there were 59 in the group with skeletal open bites, 14 in the group with dental open bites, and 30 in the control group. Condylar degeneration occurred twice as frequently in patients with skeletal open bites as it did in the control group (P < .0001). Conversely, a greater frequency of normal condyles was found in the group of patients with dental open bites (P = .0002). The group with skeletal open bites also showed a significantly higher frequency of bilateral degenerative condyles (P = .0001). The frequency of condylar degeneration did not differ significantly between female and male individuals.
Conclusions: Degenerative condylar change was significantly more likely in patients with skeletal open bites and less likely in patients with dental open bites.
Study design: Cone beam computed tomography (CBCT) scans of 194 patients with AOB (108 with skeletal open bites and 86 with dental open bites) and 100 patients serving as controls were included in this retrospective study. Two oral and maxillofacial radiologists categorized each of the 588 condyles as normal, degenerative-active, or degenerative-repair. The χ2 analysis with Bonferroni adjustment was used to evaluate the relationship of condylar status (normal vs degenerative) to anterior open bites.
Results: Of the 103 degenerative condyles, there were 59 in the group with skeletal open bites, 14 in the group with dental open bites, and 30 in the control group. Condylar degeneration occurred twice as frequently in patients with skeletal open bites as it did in the control group (P < .0001). Conversely, a greater frequency of normal condyles was found in the group of patients with dental open bites (P = .0002). The group with skeletal open bites also showed a significantly higher frequency of bilateral degenerative condyles (P = .0001). The frequency of condylar degeneration did not differ significantly between female and male individuals.
Conclusions: Degenerative condylar change was significantly more likely in patients with skeletal open bites and less likely in patients with dental open bites.
Bianchi, J; Goncalves, J Roberto; Ruellas, A Carlos De Oliveira; Bianchi, J Vierira Pastana; Ashman, LM; et al,
Radiographic interpretation using high-resolution Cbct to diagnose degenerative temporomandibular joint disease Journal Article
In: PLOS ONE, vol. 16, no. 8, pp. e0255937, 2021.
@article{Bianchi2021b,
title = {Radiographic interpretation using high-resolution Cbct to diagnose degenerative temporomandibular joint disease},
author = {J Bianchi and J Roberto Goncalves and A Carlos De Oliveira Ruellas and J Vierira Pastana Bianchi and LM Ashman and et al },
url = {https://pubmed.ncbi.nlm.nih.gov/34375354/},
doi = {10.1371/journal.pone.0255937},
year = {2021},
date = {2021-08-10},
urldate = {2021-08-10},
journal = {PLOS ONE},
volume = {16},
number = {8},
pages = {e0255937},
abstract = {The objective of this study was to use high-resolution cone-beam computed images (hr- CBCT) to diagnose degenerative joint disease in asymptomatic and symptomatic subjects using the Diagnostic Criteria for Temporomandibular Disorders DC/TMD imaging criteria. This observational study comprised of 92 subjects age-sex matched and divided into two groups: clinical degenerative joint disease (c-DJD, n = 46) and asymptomatic control group (n = 46). Clinical assessment of the DJD and high-resolution CBCT images (isotropic voxel size of 0.08mm) of the temporomandibular joints were performed for each participant. An American Board of Oral and Maxillofacial Radiology certified radiologist and a maxillofacial radiologist used the DC/TMD imaging criteria to evaluate the radiographic findings, followed by a consensus of the radiographic evaluation. The two radiologists presented a high agreement (Cohen's Kappa ranging from 0.80 to 0.87) for all radiographic findings (osteophyte, erosion, cysts, flattening, and sclerosis). Five patients from the c- DJD group did not present radiographic findings, being then classified as arthralgia. In the asymptomatic control group, 82.6% of the patients presented radiographic findings determinant of DJD and were then classified as osteoarthrosis or overdiagnosis. In conclusion, our results showed a high number of radiographic findings in the asymptomatic control group, and for this reason, we suggest that there is a need for additional imaging criteria to classify DJD properly in hr-CBCT images.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The objective of this study was to use high-resolution cone-beam computed images (hr- CBCT) to diagnose degenerative joint disease in asymptomatic and symptomatic subjects using the Diagnostic Criteria for Temporomandibular Disorders DC/TMD imaging criteria. This observational study comprised of 92 subjects age-sex matched and divided into two groups: clinical degenerative joint disease (c-DJD, n = 46) and asymptomatic control group (n = 46). Clinical assessment of the DJD and high-resolution CBCT images (isotropic voxel size of 0.08mm) of the temporomandibular joints were performed for each participant. An American Board of Oral and Maxillofacial Radiology certified radiologist and a maxillofacial radiologist used the DC/TMD imaging criteria to evaluate the radiographic findings, followed by a consensus of the radiographic evaluation. The two radiologists presented a high agreement (Cohen's Kappa ranging from 0.80 to 0.87) for all radiographic findings (osteophyte, erosion, cysts, flattening, and sclerosis). Five patients from the c- DJD group did not present radiographic findings, being then classified as arthralgia. In the asymptomatic control group, 82.6% of the patients presented radiographic findings determinant of DJD and were then classified as osteoarthrosis or overdiagnosis. In conclusion, our results showed a high number of radiographic findings in the asymptomatic control group, and for this reason, we suggest that there is a need for additional imaging criteria to classify DJD properly in hr-CBCT images.
Bianchi, J; Ruellas, A; Prieto, J C; Li, T; Soroushmehr, R; Najarian, K; Gryak, J; Deleat-Besson, R; Le, C; Yatabe, M; Gurgel, M; Turkestani, N A; Paniagua, B; Cevidanes, L
Decision support systems in temporomandibular Joint osteoarthritis: A review of data science and artificial intelligence applications. Journal Article
In: Seminars in Orthodontics, vol. 27, no. 2, pp. 78-86, 2021.
@article{Bianchi2021,
title = {Decision support systems in temporomandibular Joint osteoarthritis: A review of data science and artificial intelligence applications.},
author = {J Bianchi and A Ruellas and J C Prieto and T Li and R Soroushmehr and K Najarian and J Gryak and R Deleat-Besson and C Le and M Yatabe and M Gurgel and N A Turkestani and B Paniagua and L Cevidanes},
url = {https://pubmed.ncbi.nlm.nih.gov/34305383/},
doi = {10.1053/j.sodo.2021.05.004},
year = {2021},
date = {2021-05-19},
urldate = {2021-05-19},
journal = {Seminars in Orthodontics},
volume = {27},
number = {2},
pages = {78-86},
abstract = {With the exponential growth of computational systems and increased patient data acquisition, dental research faces new challenges to manage a large quantity of information. For this reason, data science approaches are needed for the integrative diagnosis of multifactorial diseases, such as Temporomandibular joint (TMJ) Osteoarthritis (OA). The Data science spectrum includes data capture/acquisition, data processing with optimized web-based storage and management, data analytics involving in-depth statistical analysis, machine learning (ML) approaches, and data communication. Artificial intelligence (AI) plays a crucial role in this process. It consists of developing computational systems that can perform human intelligence tasks, such as disease diagnosis, using many features to help in the decision-making support. Patient's clinical parameters, imaging exams, and molecular data are used as the input in cross-validation tasks, and human annotation/diagnosis is also used as the gold standard to train computational learning models and automatic disease classifiers. This paper aims to review and describe AI and ML techniques to diagnose TMJ OA and data science approaches for imaging processing. We used a web-based system for multi-center data communication, algorithms integration, statistics deployment, and process the computational machine learning models. We successfully show AI and data-science applications using patients' data to improve the TMJ OA diagnosis decision-making towards personalized medicine.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
With the exponential growth of computational systems and increased patient data acquisition, dental research faces new challenges to manage a large quantity of information. For this reason, data science approaches are needed for the integrative diagnosis of multifactorial diseases, such as Temporomandibular joint (TMJ) Osteoarthritis (OA). The Data science spectrum includes data capture/acquisition, data processing with optimized web-based storage and management, data analytics involving in-depth statistical analysis, machine learning (ML) approaches, and data communication. Artificial intelligence (AI) plays a crucial role in this process. It consists of developing computational systems that can perform human intelligence tasks, such as disease diagnosis, using many features to help in the decision-making support. Patient's clinical parameters, imaging exams, and molecular data are used as the input in cross-validation tasks, and human annotation/diagnosis is also used as the gold standard to train computational learning models and automatic disease classifiers. This paper aims to review and describe AI and ML techniques to diagnose TMJ OA and data science approaches for imaging processing. We used a web-based system for multi-center data communication, algorithms integration, statistics deployment, and process the computational machine learning models. We successfully show AI and data-science applications using patients' data to improve the TMJ OA diagnosis decision-making towards personalized medicine.
Turkestani, N Al; Bianchi, J; Deleat-Besson, R; et al,
Clinical decision support systems in orthodontics: A narrative review of data science approaches. Journal Article
In: Orthod Craniofac Res, 2021.
@article{Turkestani2021,
title = {Clinical decision support systems in orthodontics: A narrative review of data science approaches.},
author = {N Al Turkestani and J Bianchi and R Deleat-Besson and et al},
url = {https://onlinelibrary.wiley.com/doi/10.1111/ocr.12492},
doi = {10.1111/ocr.12492 },
year = {2021},
date = {2021-05-11},
urldate = {2021-05-11},
journal = {Orthod Craniofac Res},
abstract = {Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (C) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (C) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems.
Boubolo, Louis; Dumont, Maxime; Brosset, Serge; Bianchi, Jonas; Ruellas, Antonio; Gurgel, Marcela; Massaro, Camila; Castillo, Aron Aliaga Del; Ioshida, Marcos; Yatabe, Marilia; Benavides, Erika; Rios, Hector; Soki, Fabiana; Neiva, Gisele; Paniagua, Beatriz; Cevidanes, Lucia; Styner, Martin; Prieto, Juan Carlos
FlyBy CNN: a 3D surface segmentation framework Journal Article
In: Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115962B , 2021.
@article{Boubolo2021,
title = {FlyBy CNN: a 3D surface segmentation framework},
author = {Louis Boubolo and Maxime Dumont and Serge Brosset and Jonas Bianchi and Antonio Ruellas and Marcela Gurgel and Camila Massaro and Aron Aliaga Del Castillo and Marcos Ioshida and Marilia Yatabe and Erika Benavides and Hector Rios and Fabiana Soki and Gisele Neiva and Beatriz Paniagua and Lucia Cevidanes and Martin Styner and Juan Carlos Prieto},
url = {https://pubmed.ncbi.nlm.nih.gov/33758460/},
doi = {10.1117/12.2582205},
year = {2021},
date = {2021-02-15},
journal = {Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115962B },
abstract = {In this paper, we present FlyBy CNN, a novel deep learning based approach for 3D shape segmentation. FlyByCNN consists of sampling the surface of the 3D object from different view points and extracting surface features such as the normal vectors. The generated 2D images are then analyzed via 2D convolutional neural networks such as RUNETs. We test our framework in a dental application for segmentation of intra-oral surfaces. The RUNET is trained for the segmentation task using image pairs of surface features and image labels as ground truth. The resulting labels from each segmented image are put back into the surface thanks to our sampling approach that generates 1-1 correspondence of image pixels and triangles in the surface model. The segmentation task achieved an accuracy of 0.9.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, we present FlyBy CNN, a novel deep learning based approach for 3D shape segmentation. FlyByCNN consists of sampling the surface of the 3D object from different view points and extracting surface features such as the normal vectors. The generated 2D images are then analyzed via 2D convolutional neural networks such as RUNETs. We test our framework in a dental application for segmentation of intra-oral surfaces. The RUNET is trained for the segmentation task using image pairs of surface features and image labels as ground truth. The resulting labels from each segmented image are put back into the surface thanks to our sampling approach that generates 1-1 correspondence of image pixels and triangles in the surface model. The segmentation task achieved an accuracy of 0.9.
Brosset, Serge; Dumont, Maxime; Cevidanes, Lucia; Soroushmehr, Reza; Bianchi, Jonas; Gurgel, Marcela L; Deleat-besson, Romain; Le, Celia; Ruellas, Antonio; Yatabe, Marilia; Rosas, Liliane; Goncalves, Joao; Najarian, Kayvan; Gryak, Jonathan; Paniagua, Beatriz; Styner, Martin; Prieto, Juan Carlos
"Web infrastructure for data management, storage and computation", Proc. SPIE 11600, Journal Article
In: Proc SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1166001N, 2021.
@article{Brosset2021,
title = {"Web infrastructure for data management, storage and computation", Proc. SPIE 11600,},
author = {Serge Brosset and Maxime Dumont and Lucia Cevidanes and Reza Soroushmehr and Jonas Bianchi and Marcela L Gurgel and Romain Deleat-besson and Celia Le and Antonio Ruellas and Marilia Yatabe and Liliane Rosas and Joao Goncalves and Kayvan Najarian and Jonathan Gryak and Beatriz Paniagua and Martin Styner and Juan Carlos Prieto},
url = {https://www.researchgate.net/publication/349303820_Web_Infrastructure_for_Data_Management_Storage_and_Computation},
doi = {10.1117/12.2582283},
year = {2021},
date = {2021-02-14},
journal = {Proc SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1166001N},
abstract = {The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharing, and task execution in remote computing grids. Here, we demonstrate the DSCI implementation and the deployment of Image processing tools (TMJSeg), machine learning algorithms (MandSeg, DentalModelSeg), and advanced statistical packages (Multivariate Functional Shape Data Analysis, MFSDA), with data transfer and task execution handled by the clusterpost plug-in. Due to its comprehensive web-based design, local software installation is no longer required. The DSCI aims to enable and maintain a distributed computing and collaboration environment across multi-site clinical centers for the data processing of multisource features such as clinical, biological markers, volumetric images, and 3D surface models, with particular emphasis on analytics for temporomandibular joint osteoarthritis (TMJ OA).},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharing, and task execution in remote computing grids. Here, we demonstrate the DSCI implementation and the deployment of Image processing tools (TMJSeg), machine learning algorithms (MandSeg, DentalModelSeg), and advanced statistical packages (Multivariate Functional Shape Data Analysis, MFSDA), with data transfer and task execution handled by the clusterpost plug-in. Due to its comprehensive web-based design, local software installation is no longer required. The DSCI aims to enable and maintain a distributed computing and collaboration environment across multi-site clinical centers for the data processing of multisource features such as clinical, biological markers, volumetric images, and 3D surface models, with particular emphasis on analytics for temporomandibular joint osteoarthritis (TMJ OA).
Bianchi, J; Goncalves, J R; de Oliveira Ruellas, A C; Ashman, L M; Vimort, J-B; Yatabe, M; Paniagua, B; Hernandez, P; Benavides, E; Soki, F N; Loshida, M; Cevidanes, L H S
Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis. Journal Article
In: International Journal of Oral and Maxillofacial Surgery, vol. 50, no. 2, pp. 227-235, 2021.
@article{Bianchi2021b,
title = {Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis.},
author = {J Bianchi and J R Goncalves and A C de Oliveira Ruellas and L M Ashman and J-B Vimort and M Yatabe and B Paniagua and P Hernandez and E Benavides and F N Soki and M Loshida and L H S Cevidanes},
url = {https://pubmed.ncbi.nlm.nih.gov/32605824/},
doi = {10.1016/j.ijom.2020.04.018},
year = {2021},
date = {2021-02-00},
journal = {International Journal of Oral and Maxillofacial Surgery},
volume = {50},
number = {2},
pages = {227-235},
abstract = {Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann-Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P< 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann-Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P< 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.
Serge, B; Maxime, D; Bianchi, J; Antonio, R; Lucia, C; Marilia, Y; Joao, G; Erika, C; Fabiana, S; Beatriz, P; Juan, P; Kayvan, N; Jonathan, G; Reza, S
3D Auto-Segmentation of Mandibular Condyles Journal Article
In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1270-1273, 2020.
@article{Brosset2020,
title = {3D Auto-Segmentation of Mandibular Condyles},
author = {B Serge and D Maxime and J Bianchi and R Antonio and C Lucia and Y Marilia and G Joao and C Erika and S Fabiana and P Beatriz and P Juan and N Kayvan and G Jonathan and S Reza },
url = {https://pubmed.ncbi.nlm.nih.gov/33018219/},
doi = {10.1109/EMBC44109.2020.9175692},
year = {2020},
date = {2020-07-00},
urldate = {2020-07-00},
journal = {2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)},
pages = {1270-1273},
abstract = {Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. It has been shown that bone resorption at the condyle articular surface is already evident at initial diagnosis of TMJ Osteoarthritis (OA). Therefore, analyzing the bone structure will facilitate the disease diagnosis. The important step towards this analysis is the condyle segmentation. This article deals with a method to automatically segment the temporomandibular joint condyle out of cone beam CT (CBCT) scans. In the proposed method we denoise images and apply 3D active contour and morphological operations to segment the condyle. The experimental results show that the proposed method yields the Dice score of 0.9461 with the standards deviation of 0.0888 when it is applied on CBCT images of 95 patients. This segmentation will allow large datasets to be analyzed more efficiently towards data sciences and machine learning approaches for disease classification.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. It has been shown that bone resorption at the condyle articular surface is already evident at initial diagnosis of TMJ Osteoarthritis (OA). Therefore, analyzing the bone structure will facilitate the disease diagnosis. The important step towards this analysis is the condyle segmentation. This article deals with a method to automatically segment the temporomandibular joint condyle out of cone beam CT (CBCT) scans. In the proposed method we denoise images and apply 3D active contour and morphological operations to segment the condyle. The experimental results show that the proposed method yields the Dice score of 0.9461 with the standards deviation of 0.0888 when it is applied on CBCT images of 95 patients. This segmentation will allow large datasets to be analyzed more efficiently towards data sciences and machine learning approaches for disease classification.
K, Currie; H, Oh; C, Flores-Mir; M, Lagravere
CBCT assessment of posterior cranial base and surrounding structures in orthodontically treated adolescents. Int Orthod. Journal Article
In: Int Orthod, vol. 2, pp. 266-275, 2020.
@article{Currie2020,
title = {CBCT assessment of posterior cranial base and surrounding structures in orthodontically treated adolescents. Int Orthod.},
author = {Currie K and Oh H and Flores-Mir C and Lagravere M},
url = {https://pubmed.ncbi.nlm.nih.gov/32044297/},
doi = {10.1016/j.ortho.2020.01.004},
year = {2020},
date = {2020-06-18},
urldate = {2020-06-18},
journal = {Int Orthod},
volume = {2},
pages = {266-275},
abstract = { Understanding craniofacial growth and development is important for accurate diagnosis, treatment planning and post-treatment evaluation of orthodontic cases. Paramount to this is knowledge of the cranial base growth and development, since it is the foundation upon which the remaining facial structures develop. The purpose of this study was to analyse different anatomical structures in the posterior cranial base and determine its changes during the adolescent years (13-15 year of age) using CBCT.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Understanding craniofacial growth and development is important for accurate diagnosis, treatment planning and post-treatment evaluation of orthodontic cases. Paramount to this is knowledge of the cranial base growth and development, since it is the foundation upon which the remaining facial structures develop. The purpose of this study was to analyse different anatomical structures in the posterior cranial base and determine its changes during the adolescent years (13-15 year of age) using CBCT.
Chen, G; Awadi, M Al; Chambers, D W; Lagravere-Vich, M O; Xu, Y; Oh, H
The three-dimensional stable mandibular landmarks in patients between the ages of 12.5 and 17.1 years. Journal Article
In: BMC Oral Health, vol. 20, no. 1, pp. 153, 2020.
@article{Chen2020,
title = {The three-dimensional stable mandibular landmarks in patients between the ages of 12.5 and 17.1 years.},
author = {G Chen and M Al Awadi and D W Chambers and M O Lagravere-Vich and Y Xu and H Oh },
url = {https://pubmed.ncbi.nlm.nih.gov/32460733/},
doi = {10.1186/s12903-020-01142-2},
year = {2020},
date = {2020-05-27},
urldate = {2020-05-27},
journal = {BMC Oral Health},
volume = {20},
number = {1},
pages = {153},
abstract = {With the aid of implants, Björk identified two-dimensional mandibular stable structures in cephalograms during facial growth. However, we do not know what the three-dimensional stable structures are with certainty. The purpose of this study was to identify the most stable mandibular landmarks in growing patients using three-dimensional images.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
With the aid of implants, Björk identified two-dimensional mandibular stable structures in cephalograms during facial growth. However, we do not know what the three-dimensional stable structures are with certainty. The purpose of this study was to identify the most stable mandibular landmarks in growing patients using three-dimensional images.
J, Bianchi; Ruellas, A C De Oliveira; Goncalves, J R; Paniagua, B; Prieto, J C; Martin, S; Tengfei, Li; Hongtu, Zhu; James, S; William, G; Erika, B; Fabiana, Soki; Marilia, Yatabe; Lawrence, Ashman; David, W; Reza, Soroushmehr; Kayvan, N; Cevidanes, L H S
Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning. Journal Article
In: Scientific Reports, vol. 10, no. 1, pp. 8012, 2020.
@article{Bianchi2020b,
title = {Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.},
author = {Bianchi J and A C De Oliveira Ruellas and J R Goncalves and B Paniagua and J C Prieto and S Martin and Li Tengfei and Zhu Hongtu and S James and G William and B Erika and Soki Fabiana and Yatabe Marilia and Ashman Lawrence and W David and Soroushmehr Reza and N Kayvan and L H S Cevidanes },
url = {https://pubmed.ncbi.nlm.nih.gov/32415284/},
doi = {10.1038/s41598-020-64942-0},
year = {2020},
date = {2020-05-15},
urldate = {2020-05-15},
journal = {Scientific Reports},
volume = {10},
number = {1},
pages = {8012},
abstract = {After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthritis (OA) increases with aging, and the main goal is to diagnosis before morphological degeneration occurs. Here, we address this challenge using advanced data science to capture, process and analyze 52 clinical, biological and high-resolution CBCT (radiomics) markers from TMJ OA patients and controls. We tested the diagnostic performance of four machine learning models: Logistic Regression, Random Forest, LightGBM, XGBoost. Headaches, Range of mouth opening without pain, Energy, Haralick Correlation, Entropy and interactions of TGF-β1 in Saliva and Headaches, VE-cadherin in Serum and Angiogenin in Saliva, VE-cadherin in Saliva and Headaches, PA1 in Saliva and Headaches, PA1 in Saliva and Range of mouth opening without pain; Gender and Muscle Soreness; Short Run Low Grey Level Emphasis and Headaches, Inverse Difference Moment and Trabecular Separation accurately diagnose early stages of this clinical condition. Our results show the XGBoost + LightGBM model with these features and interactions achieves the accuracy of 0.823, AUC 0.870, and F1-score 0.823 to diagnose the TMJ OA status. Thus, we expect to boost future studies into osteoarthritis patient-specific therapeutic interventions, and thereby improve the health of articular joints.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthritis (OA) increases with aging, and the main goal is to diagnosis before morphological degeneration occurs. Here, we address this challenge using advanced data science to capture, process and analyze 52 clinical, biological and high-resolution CBCT (radiomics) markers from TMJ OA patients and controls. We tested the diagnostic performance of four machine learning models: Logistic Regression, Random Forest, LightGBM, XGBoost. Headaches, Range of mouth opening without pain, Energy, Haralick Correlation, Entropy and interactions of TGF-β1 in Saliva and Headaches, VE-cadherin in Serum and Angiogenin in Saliva, VE-cadherin in Saliva and Headaches, PA1 in Saliva and Headaches, PA1 in Saliva and Range of mouth opening without pain; Gender and Muscle Soreness; Short Run Low Grey Level Emphasis and Headaches, Inverse Difference Moment and Trabecular Separation accurately diagnose early stages of this clinical condition. Our results show the XGBoost + LightGBM model with these features and interactions achieves the accuracy of 0.823, AUC 0.870, and F1-score 0.823 to diagnose the TMJ OA status. Thus, we expect to boost future studies into osteoarthritis patient-specific therapeutic interventions, and thereby improve the health of articular joints.
Bianchi, J; Goncalves, J R; de Oliveira Ruellas, A C; Ashman, L M; Vimort, J B; Yatabe, M; Paniagua, B; Hernandez, P; Benavides, E; Soki, F N; Loshida, M; Cevidanes, L H S
Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis Journal Article
In: International Journal of Oral and Maxillofacial Surgery, vol. 50, no. 2, pp. 227-235, 2020.
@article{Bianchi2020,
title = {Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis},
author = {J Bianchi and J R Goncalves and A C de Oliveira Ruellas and L M Ashman and J B Vimort and M Yatabe and B Paniagua and P Hernandez and E Benavides and F N Soki and M Loshida and L H S Cevidanes},
url = {https://www.sciencedirect.com/science/article/pii/S0901502720301636#:~:text=%20Quantitative%20bone%20imaging%20biomarkers%20to%20diagnose%20temporomandibular,This%20study%20followe...%204%20References.%20%20More%20},
doi = {0.1016/j.ijom.2020.04.018},
year = {2020},
date = {2020-04-28},
urldate = {2020-04-28},
journal = {International Journal of Oral and Maxillofacial Surgery},
volume = {50},
number = {2},
pages = {227-235},
abstract = {Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.
Hardin, A; Valiathan, M; Oh, H; Knigge, R; McNulty, K; Leary, E; Duren, D; Sherwood, R
Clinical implications of age-related change of the mandibular plane angle. Journal Article
In: Orthod Craniofac Res, vol. 1, pp. 50-58, 2020.
@article{Hardin2020,
title = {Clinical implications of age-related change of the mandibular plane angle. },
author = {A Hardin and M Valiathan and H Oh and R Knigge and K McNulty and E Leary and D Duren and R Sherwood},
url = {https://pubmed.ncbi.nlm.nih.gov/31465622/},
doi = {10.1111/ocr.12342},
year = {2020},
date = {2020-02-23},
urldate = {2020-02-23},
journal = {Orthod Craniofac Res},
volume = {1},
pages = {50-58},
abstract = {To identify trajectories of ontogenetic change in the mandibular plane angle (MPA) and to describe the influence of sex and other factors on MPA during growth.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
To identify trajectories of ontogenetic change in the mandibular plane angle (MPA) and to describe the influence of sex and other factors on MPA during growth.
J, Bianchi; Joao, R C; Ruellas, A C De Oliveira; Vimort, J B; Yatabe, Marilia; Beatriz, P; Pablo, H; Erika, B; Fabiana, N S; Helena, S C Lucia
Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles. Journal Article
In: Dento Maxillo Facial Radiology, vol. 48, no. 6, 2019.
@article{Bianchi2019,
title = {Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles.},
author = {Bianchi J and R C Joao and A C De Oliveira Ruellas and J B Vimort and Marilia Yatabe and P Beatriz and H Pablo and B Erika and N S Fabiana and S C Lucia Helena },
url = {https://pubmed.ncbi.nlm.nih.gov/31075043/},
doi = {10.1259/dmfr.20190049},
year = {2019},
date = {2019-09-00},
urldate = {2019-09-00},
journal = {Dento Maxillo Facial Radiology},
volume = {48},
number = {6},
abstract = {Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles.
Daniel, P O R; J, Bianchi; Jaqueline, I; Larry, M W; Joao, R G
Cone-beam computed tomography airway measurements: Can we trust them? Journal Article
In: Am J Orthod Dentofacial Orthop, vol. 156, no. 1, pp. 53-60, 2019.
@article{Ryan2019,
title = {Cone-beam computed tomography airway measurements: Can we trust them?},
author = {P O R Daniel and Bianchi J and I Jaqueline and M W Larry and R G Joao },
url = {https://pubmed.ncbi.nlm.nih.gov/31256838/},
doi = {10.1016/j.ajodo.2018.07.024},
year = {2019},
date = {2019-07-00},
urldate = {2019-07-00},
journal = {Am J Orthod Dentofacial Orthop},
volume = {156},
number = {1},
pages = {53-60},
abstract = {Pharyngeal airway space (PAS) assessment has been used in the past for a better understanding of orthodontic and surgical outcomes; however, this analysis could be unreliable. Our objective was to evaluate possible changes in the PAS reading in the same patient from their consecutive cone-beam computed tomography (CBCT) scans.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pharyngeal airway space (PAS) assessment has been used in the past for a better understanding of orthodontic and surgical outcomes; however, this analysis could be unreliable. Our objective was to evaluate possible changes in the PAS reading in the same patient from their consecutive cone-beam computed tomography (CBCT) scans.
Oh, H; Knigge, R; Hardin, A; Sherwood, R; Duren, D; Valathan, M; Leary, E; McNulty, K
Predicting Adult Facial Type From Mandibular Landmark Data At Young Ages. Journal Article
In: Orthod Craniofac Res, vol. 1, pp. 154-162, 2019.
@article{Oh2019,
title = {Predicting Adult Facial Type From Mandibular Landmark Data At Young Ages.},
author = {H Oh and R Knigge and A Hardin and R Sherwood and D Duren and M Valathan and E Leary and K McNulty},
url = {https://pubmed.ncbi.nlm.nih.gov/31074133/},
doi = {10.1111/ocr.12296.},
year = {2019},
date = {2019-05-22},
urldate = {2019-05-22},
journal = {Orthod Craniofac Res},
volume = {1},
pages = {154-162},
abstract = {To assess the potential of predicting adult facial types at different stages of mandibular development.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
To assess the potential of predicting adult facial types at different stages of mandibular development.
Sam, A; Currie, K; Oh, H; Flores-Mir, C; Lagravere-Vich, M
Reliability of different 3D cephalometric landmarks in CBCT: A systematic review. Journal Article
In: Angle Orthod, vol. 89, no. 2, pp. 317-332, 2019.
@article{Sam2019,
title = {Reliability of different 3D cephalometric landmarks in CBCT: A systematic review.},
author = {A Sam and K Currie and H Oh and C Flores-Mir and M Lagravere-Vich},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120873/},
doi = {10.2319/042018-302.1},
year = {2019},
date = {2019-03-00},
urldate = {2019-03-00},
journal = {Angle Orthod},
volume = {89},
number = {2},
pages = {317-332},
abstract = {Conventional two-dimensional (2D) cephalometric radiography is an integral part of orthodontic patient diagnosis and treatment planning. One must be mindful of its limitations as it indeed is a 2D representation of a vaster three-dimensional (3D) object. Issues with projection errors, landmark identification, and measurement inaccuracies impose significant limitations, which may now be overcome with the advent of cone-beam computed tomography (CBCT). A systematic review of the reliability of different 3D cephalometric landmarks in CBCT imaging was conducted.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Conventional two-dimensional (2D) cephalometric radiography is an integral part of orthodontic patient diagnosis and treatment planning. One must be mindful of its limitations as it indeed is a 2D representation of a vaster three-dimensional (3D) object. Issues with projection errors, landmark identification, and measurement inaccuracies impose significant limitations, which may now be overcome with the advent of cone-beam computed tomography (CBCT). A systematic review of the reliability of different 3D cephalometric landmarks in CBCT imaging was conducted.
Garnett, B; Mahod, K; Nguyen, M; Al-Khateeb, A; Liu, S; Boyd, R; Oh, H
Cephalometric comparison of adult anterior open bite treatment using clear aligners and fixed appliances. Journal Article
In: Angle Orthodontist, vol. 89, no. 1, pp. 3-9, 2019.
@article{Garnett2019,
title = {Cephalometric comparison of adult anterior open bite treatment using clear aligners and fixed appliances.},
author = {B Garnett and K Mahod and M Nguyen and A Al-Khateeb and S Liu and R Boyd and H Oh},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137127/},
doi = {10.2319/010418-4.1},
year = {2019},
date = {2019-01-00},
journal = {Angle Orthodontist},
volume = {89},
number = {1},
pages = {3-9},
abstract = {To compare fixed appliances and clear aligner therapy in correcting anterior open bite and in controlling the vertical dimension in adult patients with hyperdivergent skeletal patterns.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
To compare fixed appliances and clear aligner therapy in correcting anterior open bite and in controlling the vertical dimension in adult patients with hyperdivergent skeletal patterns.
J, Bianchi; Guilherme, M P; Leonardo, K; Jaqueline, I; Larry, M W; Joao, R G
Three-dimensional stability analysis of maxillomandibular advancement surgery with and without articular disc repositioning Journal Article
In: J Craniomaxillofacial Surgery, vol. 46, no. 8, pp. 1348-1354, 2018.
@article{Bianchi2018,
title = {Three-dimensional stability analysis of maxillomandibular advancement surgery with and without articular disc repositioning},
author = {Bianchi J and M P Guilherme and K Leonardo and I Jaqueline and M W Larry and R G Joao },
year = {2018},
date = {2018-08-00},
urldate = {2018-08-00},
journal = {J Craniomaxillofacial Surgery},
volume = {46},
number = {8},
pages = {1348-1354},
abstract = {This retrospective cohort study aimed to assess, three-dimensionally, mandible and maxilla changes following maxillomandibular advancement (MMA), with and without repositioning of TMJ articular discs. The sample comprised cone-beam computed tomography data from 32 subjects: group 1 (n = 12) without disc displacement and group 2 (n = 20) with bilateral disc repositioning. An automatic cranial base superimposition method was used to register the images at three time points: T1 (preoperative), T2 (postoperative), and T3 (at least 11 months follow-up). To assess surgical changes (T2-T1) and adaptive responses (T3-T2), the images were compared quantitatively and qualitatively using the shape correspondence method. The results showed that surgical displacements were similar in both groups for all the regions of interest except the condyles, which moved in opposite directions - group 1 to superior and posterior positions, and group 2 to inferior and anterior positions. For adaptive responses, we observed high individual variability, with lower variability in group 2. Sagittal relapse was similar in both groups. In conclusion, there were no significant differences in skeletal stability between the two groups. The maxillomandibular advancement surgeries, with rotation of the occlusal plane, had stable results for both groups immediately after surgery and at 1-year follow-up.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This retrospective cohort study aimed to assess, three-dimensionally, mandible and maxilla changes following maxillomandibular advancement (MMA), with and without repositioning of TMJ articular discs. The sample comprised cone-beam computed tomography data from 32 subjects: group 1 (n = 12) without disc displacement and group 2 (n = 20) with bilateral disc repositioning. An automatic cranial base superimposition method was used to register the images at three time points: T1 (preoperative), T2 (postoperative), and T3 (at least 11 months follow-up). To assess surgical changes (T2-T1) and adaptive responses (T3-T2), the images were compared quantitatively and qualitatively using the shape correspondence method. The results showed that surgical displacements were similar in both groups for all the regions of interest except the condyles, which moved in opposite directions - group 1 to superior and posterior positions, and group 2 to inferior and anterior positions. For adaptive responses, we observed high individual variability, with lower variability in group 2. Sagittal relapse was similar in both groups. In conclusion, there were no significant differences in skeletal stability between the two groups. The maxillomandibular advancement surgeries, with rotation of the occlusal plane, had stable results for both groups immediately after surgery and at 1-year follow-up.
Oscar, C L; Jonas, B; Dirceu, R; Joao, B N; Bernd, H
Mandible and skull segmentation in cone-beam computed tomography using super-voxels and graph clustering Journal Article
In: The Visual Computer, vol. 35, pp. 1461-1474, 2018.
@article{Linares2018,
title = {Mandible and skull segmentation in cone-beam computed tomography using super-voxels and graph clustering},
author = {C L Oscar and B Jonas and R Dirceu and B N Joao and H Bernd },
url = {https://link.springer.com/article/10.1007/s00371-018-1511-0},
doi = {https://doi.org/10.1007/s00371-018-1511-0},
year = {2018},
date = {2018-04-26},
urldate = {2018-04-26},
journal = {The Visual Computer},
volume = {35},
pages = {1461-1474},
abstract = {Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacial deformities. CBCT 3D reconstruction and segmentation of bones such as mandible or maxilla are essential procedures in surgical and orthodontic treatments. However, CBCT image processing may be impaired by features such as low contrast, inhomogeneity, noise and artifacts. Besides, values assigned to voxels are relative Hounsfield units unlike traditional computed tomography (CT). Such drawbacks render CBCT segmentation a difficult and time-consuming task, usually performed manually with tools designed for medical image processing. We present an interactive two-stage method for the segmentation of CBCT: (i) we first perform an automatic segmentation of bone structures with super-voxels, allowing a compact graph representation of the 3D data; (ii) next, a user-placed seed process guides a graph partitioning algorithm, splitting the extracted bones into mandible and skull. We have evaluated our segmentation method in three different scenarios and compared the results with ground truth data of the mandible and the skull. Results show that our method produces accurate segmentation and is robust to changes in parameters. We also compared our method with two similar segmentation strategy and showed that it produces more accurate segmentation. Finally, we evaluated our method for CT data of patients with deformed or missing bones and the segmentation was accurate for all data. The segmentation of a typical CBCT takes in average 5 min, which is faster than most techniques currently available.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacial deformities. CBCT 3D reconstruction and segmentation of bones such as mandible or maxilla are essential procedures in surgical and orthodontic treatments. However, CBCT image processing may be impaired by features such as low contrast, inhomogeneity, noise and artifacts. Besides, values assigned to voxels are relative Hounsfield units unlike traditional computed tomography (CT). Such drawbacks render CBCT segmentation a difficult and time-consuming task, usually performed manually with tools designed for medical image processing. We present an interactive two-stage method for the segmentation of CBCT: (i) we first perform an automatic segmentation of bone structures with super-voxels, allowing a compact graph representation of the 3D data; (ii) next, a user-placed seed process guides a graph partitioning algorithm, splitting the extracted bones into mandible and skull. We have evaluated our segmentation method in three different scenarios and compared the results with ground truth data of the mandible and the skull. Results show that our method produces accurate segmentation and is robust to changes in parameters. We also compared our method with two similar segmentation strategy and showed that it produces more accurate segmentation. Finally, we evaluated our method for CT data of patients with deformed or missing bones and the segmentation was accurate for all data. The segmentation of a typical CBCT takes in average 5 min, which is faster than most techniques currently available.
2022 |
Phi, L; Albertson, B; Hatcher, D; Rathi, S; Park, J; Oh, H: Condylar degeneration in anterior open bite patients: A cone-beam computed tomography (CBCT) study.. In: Oral Surgery Oral Med Oral Path Oral Radiology , vol. 133, iss. 2, pp. 221-228, 2022. (Type: Journal Article | Abstract | Links | BibTeX | Tags: anterior openbite, CBCT, condylar degeneration, Cone-beam computed tomography)@article{Oh2022g,Objectives: The purpose of this study was to investigate the prevalence of condylar degeneration in patients with anterior open bites (AOB). Study design: Cone beam computed tomography (CBCT) scans of 194 patients with AOB (108 with skeletal open bites and 86 with dental open bites) and 100 patients serving as controls were included in this retrospective study. Two oral and maxillofacial radiologists categorized each of the 588 condyles as normal, degenerative-active, or degenerative-repair. The χ2 analysis with Bonferroni adjustment was used to evaluate the relationship of condylar status (normal vs degenerative) to anterior open bites. Results: Of the 103 degenerative condyles, there were 59 in the group with skeletal open bites, 14 in the group with dental open bites, and 30 in the control group. Condylar degeneration occurred twice as frequently in patients with skeletal open bites as it did in the control group (P < .0001). Conversely, a greater frequency of normal condyles was found in the group of patients with dental open bites (P = .0002). The group with skeletal open bites also showed a significantly higher frequency of bilateral degenerative condyles (P = .0001). The frequency of condylar degeneration did not differ significantly between female and male individuals. Conclusions: Degenerative condylar change was significantly more likely in patients with skeletal open bites and less likely in patients with dental open bites. |
2021 |
Bianchi, J; Goncalves, J Roberto; Ruellas, A Carlos De Oliveira; Bianchi, J Vierira Pastana; Ashman, LM; et al,: Radiographic interpretation using high-resolution Cbct to diagnose degenerative temporomandibular joint disease. In: PLOS ONE, vol. 16, no. 8, pp. e0255937, 2021. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, fixed appliances, Growth, hyperdivergent, Mandibular fixed retainer)@article{Bianchi2021b,The objective of this study was to use high-resolution cone-beam computed images (hr- CBCT) to diagnose degenerative joint disease in asymptomatic and symptomatic subjects using the Diagnostic Criteria for Temporomandibular Disorders DC/TMD imaging criteria. This observational study comprised of 92 subjects age-sex matched and divided into two groups: clinical degenerative joint disease (c-DJD, n = 46) and asymptomatic control group (n = 46). Clinical assessment of the DJD and high-resolution CBCT images (isotropic voxel size of 0.08mm) of the temporomandibular joints were performed for each participant. An American Board of Oral and Maxillofacial Radiology certified radiologist and a maxillofacial radiologist used the DC/TMD imaging criteria to evaluate the radiographic findings, followed by a consensus of the radiographic evaluation. The two radiologists presented a high agreement (Cohen's Kappa ranging from 0.80 to 0.87) for all radiographic findings (osteophyte, erosion, cysts, flattening, and sclerosis). Five patients from the c- DJD group did not present radiographic findings, being then classified as arthralgia. In the asymptomatic control group, 82.6% of the patients presented radiographic findings determinant of DJD and were then classified as osteoarthrosis or overdiagnosis. In conclusion, our results showed a high number of radiographic findings in the asymptomatic control group, and for this reason, we suggest that there is a need for additional imaging criteria to classify DJD properly in hr-CBCT images. |
Bianchi, J; Ruellas, A; Prieto, J C; Li, T; Soroushmehr, R; Najarian, K; Gryak, J; Deleat-Besson, R; Le, C; Yatabe, M; Gurgel, M; Turkestani, N A; Paniagua, B; Cevidanes, L: Decision support systems in temporomandibular Joint osteoarthritis: A review of data science and artificial intelligence applications.. In: Seminars in Orthodontics, vol. 27, no. 2, pp. 78-86, 2021. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Discrepency Index, malocclusion severity, mandibular asymmetry, orthodontic, Peer Assessment Rating Index, technique, vertical control, x-ray)@article{Bianchi2021,With the exponential growth of computational systems and increased patient data acquisition, dental research faces new challenges to manage a large quantity of information. For this reason, data science approaches are needed for the integrative diagnosis of multifactorial diseases, such as Temporomandibular joint (TMJ) Osteoarthritis (OA). The Data science spectrum includes data capture/acquisition, data processing with optimized web-based storage and management, data analytics involving in-depth statistical analysis, machine learning (ML) approaches, and data communication. Artificial intelligence (AI) plays a crucial role in this process. It consists of developing computational systems that can perform human intelligence tasks, such as disease diagnosis, using many features to help in the decision-making support. Patient's clinical parameters, imaging exams, and molecular data are used as the input in cross-validation tasks, and human annotation/diagnosis is also used as the gold standard to train computational learning models and automatic disease classifiers. This paper aims to review and describe AI and ML techniques to diagnose TMJ OA and data science approaches for imaging processing. We used a web-based system for multi-center data communication, algorithms integration, statistics deployment, and process the computational machine learning models. We successfully show AI and data-science applications using patients' data to improve the TMJ OA diagnosis decision-making towards personalized medicine. |
Turkestani, N Al; Bianchi, J; Deleat-Besson, R; et al,: Clinical decision support systems in orthodontics: A narrative review of data science approaches.. In: Orthod Craniofac Res, 2021. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, clinical orthodontist, Cone-beam computed tomography, Cranial base, craniofacial, hyperdivergent, malocclusion severity, mandibular asymmetry, Posttreatment, technique)@article{Turkestani2021,Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (C) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems. |
Boubolo, Louis; Dumont, Maxime; Brosset, Serge; Bianchi, Jonas; Ruellas, Antonio; Gurgel, Marcela; Massaro, Camila; Castillo, Aron Aliaga Del; Ioshida, Marcos; Yatabe, Marilia; Benavides, Erika; Rios, Hector; Soki, Fabiana; Neiva, Gisele; Paniagua, Beatriz; Cevidanes, Lucia; Styner, Martin; Prieto, Juan Carlos: FlyBy CNN: a 3D surface segmentation framework. In: Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115962B , 2021. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, pressure tension, technique, vertical control)@article{Boubolo2021,In this paper, we present FlyBy CNN, a novel deep learning based approach for 3D shape segmentation. FlyByCNN consists of sampling the surface of the 3D object from different view points and extracting surface features such as the normal vectors. The generated 2D images are then analyzed via 2D convolutional neural networks such as RUNETs. We test our framework in a dental application for segmentation of intra-oral surfaces. The RUNET is trained for the segmentation task using image pairs of surface features and image labels as ground truth. The resulting labels from each segmented image are put back into the surface thanks to our sampling approach that generates 1-1 correspondence of image pixels and triangles in the surface model. The segmentation task achieved an accuracy of 0.9. |
Brosset, Serge; Dumont, Maxime; Cevidanes, Lucia; Soroushmehr, Reza; Bianchi, Jonas; Gurgel, Marcela L; Deleat-besson, Romain; Le, Celia; Ruellas, Antonio; Yatabe, Marilia; Rosas, Liliane; Goncalves, Joao; Najarian, Kayvan; Gryak, Jonathan; Paniagua, Beatriz; Styner, Martin; Prieto, Juan Carlos: "Web infrastructure for data management, storage and computation", Proc. SPIE 11600,. In: Proc SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1166001N, 2021. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, fixed appliances, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index)@article{Brosset2021,The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharing, and task execution in remote computing grids. Here, we demonstrate the DSCI implementation and the deployment of Image processing tools (TMJSeg), machine learning algorithms (MandSeg, DentalModelSeg), and advanced statistical packages (Multivariate Functional Shape Data Analysis, MFSDA), with data transfer and task execution handled by the clusterpost plug-in. Due to its comprehensive web-based design, local software installation is no longer required. The DSCI aims to enable and maintain a distributed computing and collaboration environment across multi-site clinical centers for the data processing of multisource features such as clinical, biological markers, volumetric images, and 3D surface models, with particular emphasis on analytics for temporomandibular joint osteoarthritis (TMJ OA). |
Bianchi, J; Goncalves, J R; de Oliveira Ruellas, A C; Ashman, L M; Vimort, J-B; Yatabe, M; Paniagua, B; Hernandez, P; Benavides, E; Soki, F N; Loshida, M; Cevidanes, L H S: Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis.. In: International Journal of Oral and Maxillofacial Surgery, vol. 50, no. 2, pp. 227-235, 2021. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Adolescents, biomarkers, Cone-beam computed tomography, Cranial base, osteoarthritis, temporomandibular joint)@article{Bianchi2021b,Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann-Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P< 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease. |
2020 |
Serge, B; Maxime, D; Bianchi, J; Antonio, R; Lucia, C; Marilia, Y; Joao, G; Erika, C; Fabiana, S; Beatriz, P; Juan, P; Kayvan, N; Jonathan, G; Reza, S: 3D Auto-Segmentation of Mandibular Condyles. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1270-1273, 2020. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, extraction, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, orthodontic, Peer Assessment Rating Index, Posttreatment, teaching)@article{Brosset2020,Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. It has been shown that bone resorption at the condyle articular surface is already evident at initial diagnosis of TMJ Osteoarthritis (OA). Therefore, analyzing the bone structure will facilitate the disease diagnosis. The important step towards this analysis is the condyle segmentation. This article deals with a method to automatically segment the temporomandibular joint condyle out of cone beam CT (CBCT) scans. In the proposed method we denoise images and apply 3D active contour and morphological operations to segment the condyle. The experimental results show that the proposed method yields the Dice score of 0.9461 with the standards deviation of 0.0888 when it is applied on CBCT images of 95 patients. This segmentation will allow large datasets to be analyzed more efficiently towards data sciences and machine learning approaches for disease classification. |
K, Currie; H, Oh; C, Flores-Mir; M, Lagravere: CBCT assessment of posterior cranial base and surrounding structures in orthodontically treated adolescents. Int Orthod.. In: Int Orthod, vol. 2, pp. 266-275, 2020. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, Mandibular fixed retainer, Mandibular remodeling, x-ray)@article{Currie2020, Understanding craniofacial growth and development is important for accurate diagnosis, treatment planning and post-treatment evaluation of orthodontic cases. Paramount to this is knowledge of the cranial base growth and development, since it is the foundation upon which the remaining facial structures develop. The purpose of this study was to analyse different anatomical structures in the posterior cranial base and determine its changes during the adolescent years (13-15 year of age) using CBCT. |
Chen, G; Awadi, M Al; Chambers, D W; Lagravere-Vich, M O; Xu, Y; Oh, H: The three-dimensional stable mandibular landmarks in patients between the ages of 12.5 and 17.1 years.. In: BMC Oral Health, vol. 20, no. 1, pp. 153, 2020. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, technique)@article{Chen2020,With the aid of implants, Björk identified two-dimensional mandibular stable structures in cephalograms during facial growth. However, we do not know what the three-dimensional stable structures are with certainty. The purpose of this study was to identify the most stable mandibular landmarks in growing patients using three-dimensional images. |
J, Bianchi; Ruellas, A C De Oliveira; Goncalves, J R; Paniagua, B; Prieto, J C; Martin, S; Tengfei, Li; Hongtu, Zhu; James, S; William, G; Erika, B; Fabiana, Soki; Marilia, Yatabe; Lawrence, Ashman; David, W; Reza, Soroushmehr; Kayvan, N; Cevidanes, L H S: Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.. In: Scientific Reports, vol. 10, no. 1, pp. 8012, 2020. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, craniofacial, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, technique, vertical control, x-ray)@article{Bianchi2020b,After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthritis (OA) increases with aging, and the main goal is to diagnosis before morphological degeneration occurs. Here, we address this challenge using advanced data science to capture, process and analyze 52 clinical, biological and high-resolution CBCT (radiomics) markers from TMJ OA patients and controls. We tested the diagnostic performance of four machine learning models: Logistic Regression, Random Forest, LightGBM, XGBoost. Headaches, Range of mouth opening without pain, Energy, Haralick Correlation, Entropy and interactions of TGF-β1 in Saliva and Headaches, VE-cadherin in Serum and Angiogenin in Saliva, VE-cadherin in Saliva and Headaches, PA1 in Saliva and Headaches, PA1 in Saliva and Range of mouth opening without pain; Gender and Muscle Soreness; Short Run Low Grey Level Emphasis and Headaches, Inverse Difference Moment and Trabecular Separation accurately diagnose early stages of this clinical condition. Our results show the XGBoost + LightGBM model with these features and interactions achieves the accuracy of 0.823, AUC 0.870, and F1-score 0.823 to diagnose the TMJ OA status. Thus, we expect to boost future studies into osteoarthritis patient-specific therapeutic interventions, and thereby improve the health of articular joints. |
Bianchi, J; Goncalves, J R; de Oliveira Ruellas, A C; Ashman, L M; Vimort, J B; Yatabe, M; Paniagua, B; Hernandez, P; Benavides, E; Soki, F N; Loshida, M; Cevidanes, L H S: Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis. In: International Journal of Oral and Maxillofacial Surgery, vol. 50, no. 2, pp. 227-235, 2020. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, orthodontic, pressure tension, technique)@article{Bianchi2020,Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease. |
Hardin, A; Valiathan, M; Oh, H; Knigge, R; McNulty, K; Leary, E; Duren, D; Sherwood, R: Clinical implications of age-related change of the mandibular plane angle. . In: Orthod Craniofac Res, vol. 1, pp. 50-58, 2020. (Type: Journal Article | Abstract | Links | BibTeX | Tags: Adolescents, Cone-beam computed tomography, Cranial base, craniofacial, fixed appliances, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, vertical control)@article{Hardin2020,To identify trajectories of ontogenetic change in the mandibular plane angle (MPA) and to describe the influence of sex and other factors on MPA during growth. |
2019 |
J, Bianchi; Joao, R C; Ruellas, A C De Oliveira; Vimort, J B; Yatabe, Marilia; Beatriz, P; Pablo, H; Erika, B; Fabiana, N S; Helena, S C Lucia: Software comparison to analyze bone radiomics from high resolution CBCT scans of mandibular condyles.. In: Dento Maxillo Facial Radiology, vol. 48, no. 6, 2019. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, software validation, temporomandibular joint disorders, tomography, X-ray computed)@article{Bianchi2019,Radiomics refers to the extraction and analysis of advanced quantitative imaging from medical images to diagnose and/or predict diseases. In the dentistry field, the bone data from mandibular condyles could be computationally analyzed using the voxel information provided by high-resolution CBCT scans to increase the diagnostic power of temporomandibular joint (TMJ) conditions. However, such quantitative information demands innovative computational software, algorithm implementation, and validation. Our study's aim was to compare a newly developed BoneTexture application to two-consolidated software with previous applications in the medical field, Ibex and BoneJ, to extract bone morphometric and textural features from mandibular condyles. |
Daniel, P O R; J, Bianchi; Jaqueline, I; Larry, M W; Joao, R G: Cone-beam computed tomography airway measurements: Can we trust them?. In: Am J Orthod Dentofacial Orthop, vol. 156, no. 1, pp. 53-60, 2019. (Type: Journal Article | Abstract | Links | BibTeX | Tags: Adolescents, Cone-beam computed tomography, Cranial base, Discrepency Index, fixed appliances, Growth, hyperdivergent, Mandibular fixed retainer, retrospective)@article{Ryan2019,Pharyngeal airway space (PAS) assessment has been used in the past for a better understanding of orthodontic and surgical outcomes; however, this analysis could be unreliable. Our objective was to evaluate possible changes in the PAS reading in the same patient from their consecutive cone-beam computed tomography (CBCT) scans. |
Oh, H; Knigge, R; Hardin, A; Sherwood, R; Duren, D; Valathan, M; Leary, E; McNulty, K: Predicting Adult Facial Type From Mandibular Landmark Data At Young Ages.. In: Orthod Craniofac Res, vol. 1, pp. 154-162, 2019. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, Cone-beam computed tomography, Cranial base, Mandibular remodeling)@article{Oh2019,To assess the potential of predicting adult facial types at different stages of mandibular development. |
Sam, A; Currie, K; Oh, H; Flores-Mir, C; Lagravere-Vich, M: Reliability of different 3D cephalometric landmarks in CBCT: A systematic review.. In: Angle Orthod, vol. 89, no. 2, pp. 317-332, 2019. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, Cone-beam computed tomography, Cranial base, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling)@article{Sam2019,Conventional two-dimensional (2D) cephalometric radiography is an integral part of orthodontic patient diagnosis and treatment planning. One must be mindful of its limitations as it indeed is a 2D representation of a vaster three-dimensional (3D) object. Issues with projection errors, landmark identification, and measurement inaccuracies impose significant limitations, which may now be overcome with the advent of cone-beam computed tomography (CBCT). A systematic review of the reliability of different 3D cephalometric landmarks in CBCT imaging was conducted. |
Garnett, B; Mahod, K; Nguyen, M; Al-Khateeb, A; Liu, S; Boyd, R; Oh, H: Cephalometric comparison of adult anterior open bite treatment using clear aligners and fixed appliances.. In: Angle Orthodontist, vol. 89, no. 1, pp. 3-9, 2019. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, extraction, fixed appliances, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, mapping, open bite, Peer Assessment Rating Index, Posttreatment, research, x-ray)@article{Garnett2019,To compare fixed appliances and clear aligner therapy in correcting anterior open bite and in controlling the vertical dimension in adult patients with hyperdivergent skeletal patterns. |
2018 |
J, Bianchi; Guilherme, M P; Leonardo, K; Jaqueline, I; Larry, M W; Joao, R G: Three-dimensional stability analysis of maxillomandibular advancement surgery with and without articular disc repositioning. In: J Craniomaxillofacial Surgery, vol. 46, no. 8, pp. 1348-1354, 2018. (Type: Journal Article | Abstract | BibTeX | Tags: Cone-beam computed tomography, imaging, Orthognathic Surgery, Temporomandibular Joint Disc, three-dimensional)@article{Bianchi2018,This retrospective cohort study aimed to assess, three-dimensionally, mandible and maxilla changes following maxillomandibular advancement (MMA), with and without repositioning of TMJ articular discs. The sample comprised cone-beam computed tomography data from 32 subjects: group 1 (n = 12) without disc displacement and group 2 (n = 20) with bilateral disc repositioning. An automatic cranial base superimposition method was used to register the images at three time points: T1 (preoperative), T2 (postoperative), and T3 (at least 11 months follow-up). To assess surgical changes (T2-T1) and adaptive responses (T3-T2), the images were compared quantitatively and qualitatively using the shape correspondence method. The results showed that surgical displacements were similar in both groups for all the regions of interest except the condyles, which moved in opposite directions - group 1 to superior and posterior positions, and group 2 to inferior and anterior positions. For adaptive responses, we observed high individual variability, with lower variability in group 2. Sagittal relapse was similar in both groups. In conclusion, there were no significant differences in skeletal stability between the two groups. The maxillomandibular advancement surgeries, with rotation of the occlusal plane, had stable results for both groups immediately after surgery and at 1-year follow-up. |
Oscar, C L; Jonas, B; Dirceu, R; Joao, B N; Bernd, H: Mandible and skull segmentation in cone-beam computed tomography using super-voxels and graph clustering. In: The Visual Computer, vol. 35, pp. 1461-1474, 2018. (Type: Journal Article | Abstract | Links | BibTeX | Tags: bone segmentation, Cone-beam computed tomography, graph clustering, mandible, skull, super-voxels)@article{Linares2018,Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacial deformities. CBCT 3D reconstruction and segmentation of bones such as mandible or maxilla are essential procedures in surgical and orthodontic treatments. However, CBCT image processing may be impaired by features such as low contrast, inhomogeneity, noise and artifacts. Besides, values assigned to voxels are relative Hounsfield units unlike traditional computed tomography (CT). Such drawbacks render CBCT segmentation a difficult and time-consuming task, usually performed manually with tools designed for medical image processing. We present an interactive two-stage method for the segmentation of CBCT: (i) we first perform an automatic segmentation of bone structures with super-voxels, allowing a compact graph representation of the 3D data; (ii) next, a user-placed seed process guides a graph partitioning algorithm, splitting the extracted bones into mandible and skull. We have evaluated our segmentation method in three different scenarios and compared the results with ground truth data of the mandible and the skull. Results show that our method produces accurate segmentation and is robust to changes in parameters. We also compared our method with two similar segmentation strategy and showed that it produces more accurate segmentation. Finally, we evaluated our method for CT data of patients with deformed or missing bones and the segmentation was accurate for all data. The segmentation of a typical CBCT takes in average 5 min, which is faster than most techniques currently available. |
Liu, S; Oh, H; Chambers, D; Baumrind, S; Xu, T: Interpreting Weightings of the Peer Assessment Rating Index and the Discrepancy Index across Contexts on Chinese Patients.. In: European Journal of Orthodontics, vol. 40, no. 2, pp. 157-163, 2018. (Type: Journal Article | Abstract | Links | BibTeX | Tags: clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, Growth, hyperdivergent, malocclusion severity, mandibular asymmetry, Peer Assessment Rating Index, teaching, vertical control)@article{Liu2017b,Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients. |
2017 |
J, Bianchi; Dos, S P Ary; Jaqueline, I; Daniel, P O R; Joao, R G: Effect of temporomandibular joint articular disc repositioning on anterior open-bite malocclusion: An orthodontic-surgical approach. In: Am J Orthod Dentofacial Orthop, vol. 152, no. 6, pp. 848-858, 2017. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, orthodontic, retrospective, teaching, vertical control)@article{Bianchi2017,An anterior open bite is a challenge to orthodontic treatment; it has a multifactorial etiology and a wide range ofintervention options. Temporomandibular joint (TMJ) disorders are a risk factor for the development of malocclu-sions such as the anterior open bite, especially in patients who have TMJ osteoarthritis with disc displacement.Articular disc repositioning surgery is an available option for treating this pathology, and it contributes to main-taining the condyles in a more stable position. The aim of this article was to report the case of a 20-year-oldwoman diagnosed with anterior open bite and TMJ osteoarthritis with bilateral disc displacement. The patientreceived both orthodontic treatment and TMJ disc repositioning surgery. Cone-beam computed tomographywas used to create 3-dimensional models of the condyles with regional superposition, and assessment ofbone remodeling was performed at different time intervals. Complete orthodontic and surgical treatment timewas approximately 12 months. The results provided a stable correction of the patient's anterior open bite witha 2-year follow-up and favorable bone remodeling of the condyles due to functional improvement of the TMJ.(Am J Orthod Dentofacial Orthop 2017;152:848-58) |
Xu, Y; Oh, H; Lagravere-Vich, M: Malocclusion Class II-Division 1 skeletal and dental relationships measured by Cone-Beam Computed Tomography. . In: International Journal of Orthodontics, vol. 15, no. 3, pp. 365-387, 2017. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, pressure tension, retrospective)@article{Xu2017,The purpose of this study was to locate traditionally-used landmarks in two-dimensional (2D) images and newly-suggested ones in three-dimensional (3D) images (cone-beam computer tomographies [CBCTs]) and determine possible relationships between them to categorize patients with Class II-1 malocclusion. |
Hwang, HS; Oh, MH; Oh, HK: Surgery-first approach in correcting skeletal Class III malocclusion with mandibular asymmetry. . In: Am J Orthod Dentofacial Orthop, vol. 152, no. 2, pp. 255-267, 2017. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, adult, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Cranial base, Discrepency Index, fixed appliances, malocclusion severity, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment, pressure tension, retrospective)@article{Hwang2017b,This case report describes a surgical orthodontic case that used the recently introduced surgery-first approach to correct a severe skeletal Class III malocclusion. A 19-year-old woman presented with severe mandibular prognathism and facial asymmetry; she had been waiting for growth completion in order to pursue surgical correction. After prediction of the postsurgical tooth movement and surgical simulation, 2-jaw surgery that included maxillary advancement and differential mandibular setback was performed using a surgery-first approach. Immediate facial improvement was achieved and postsurgical orthodontic treatment was efficiently carried out. The total treatment time was 16 months. The patient's facial appearance improved significantly and a stable surgical orthodontic outcome was obtained. |
Afrand, Mona; Oh, Heesoo; Flores-Mirand, Carlos; Lagravère-Vich, Manuel O.: Growth changes in the anterior and middle cranial bases assessed with cone-beam computed tomography in adolescents. In: American Journal of Orthodontics and Dentofacial Orthopedics, vol. 151, no. 2, pp. 342-50, 2017. (Type: Journal Article | Abstract | Links | BibTeX | Tags: Adolescents, Cone-beam computed tomography, Cranial base, Growth)@article{Afrand2017,Introduction: Initially, cone-beam computed tomography images from dry skulls were used to 3 dimensionally evaluate intrarater and interrater reliabilities and accuracy of selected 3-dimensional landmarks located in the anterior and middle cranial bases. Thereafter, dimensional changes of the anterior and middle cranial bases with growth were evaluated by using the previously selected landmarks. Methods: Cone-beam computed tomography images of 10 dry skulls were used to identify useful landmarks from different areas of the anterior and middle cranial bases based on their reliability and accuracy. These selected landmarks were identified in the images of an already available sample of adolescents (n 560) taken at 2 time points (19 months apart) to assess dimensional changes with growth. Results: The majority of the proposed 3-dimensional landmarks with the exception of the lesser wing of the sphenoid showed acceptable intrarater and interrater reliabilities. The distances measured between foramina and canals in the transverse dimension showed evidence of increases in size. However, the mean amounts of increase in these transverse distances were equal to or less than 1.05 mm (from 1.1% to 4.1%). No change was observed between the right and left anterior and posterior clinoid processes. The vertical dimensions showed evidence of some changes, but these were within 2% of the original distances. Conclusions: In this adolescent sample, minor growth-related changes were observed in the anterior and middle cranial bases. The midsagittal area of the anterior cranial base (foramen caecum to presphenoid) was stable. The right and left anterior and posterior clinoid processes can be used for transverse superimposition. (Am J Orthod Dentofacial Orthop 2017; 151:342-50) |
Afrand, M; Oh, H; Flores-Mir, C; Lagravere-Vich, M: Growth changes in the anterior and middle cranial bases as assessed through cone-beam computed tomography in adolescents.. In: Am J Orthod Dentofacial Orthop, vol. 151, no. 2, pp. 342-350, 2017. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, orthodontic, Peer Assessment Rating Index, Posttreatment, retrospective, technique)@article{Afrand2017b,Initially, cone-beam computed tomography images from dry skulls were used to 3 dimensionallyevaluate intrarater and interrater reliabilities and accuracy of selected 3-dimensional landmarks located in theanterior and middle cranial bases. Thereafter, dimensional changes of the anterior and middle cranial baseswith growth were evaluated by using the previously selected landmarks.Methods:Cone-beam computed to-mography images of 10 dry skulls were used to identify useful landmarks from different areas of the anteriorand middle cranial bases based on their reliability and accuracy. These selected landmarks were identified inthe images of an already available sample of adolescents (n560) taken at 2 time points (19 months apart)to assess dimensional changes with growth.Results:The majority of the proposed 3-dimensional landmarkswith the exception of the lesser wing of the sphenoid showed acceptable intrarater and interrater reliabilities.The distances measured between foramina and canals in the transverse dimension showed evidence ofincreases in size. However, the mean amounts of increase in these transverse distances were equal to orless than 1.05 mm (from 1.1% to 4.1%). No change was observed between the right and left anterior andposterior clinoid processes. The vertical dimensions showed evidence of some changes, but these werewithin 2% of the original distances.Conclusions:In this adolescent sample, minor growth-related changeswere observed in the anterior and middle cranial bases. The midsagittal area of the anterior cranial base(foramen caecum to presphenoid) was stable. The right and left anterior and posterior clinoid processes canbe used for transverse superimposition. (Am J Orthod Dentofacial Orthop 2017;151:342-50) |
Oh, H; Baumrind, S; Dugoni, S; Boero, R; Aubert, M; Boyd, R: A retrospective study of Class II mixed-dentition treatment. . In: Angle Orthodontist, vol. 87, no. 1, pp. 56-67, 2017. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, clinical orthodontist, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, Growth, hyperdivergent, malocclusion severity, Mandibular fixed retainer, Mandibular remodeling, mapping, technique, vertical control, x-ray)@article{Oh2017,To consider the effectiveness of early treatment using one mixed-dentition approach to the correction of moderate and severe Class II malocclusions. |
2016 |
Oh, H; Ma, N; Feng, P; Kieu, K; Boero, R; Dugoni, S; Aubert, M; Chambers, D: Evaluation of Post-treatment stability following orthodontic treatment in the mixed and permanent dentitions.. In: Angle Orthodontist, vol. 86, no. 6, pp. 1010-1018, 2016. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cone-beam computed tomography, Cranial base, hyperdivergent, Peer Assessment Rating Index, Posttreatment, pressure tension, research, retrospective, technique)@article{Oh2016b,To investigate posttreatment changes in the maxillary and mandibular arches in patients who underwent orthodontic treatment during the mixed and permanent dentitions. |
2014 |
Oh, H; Herchold, K; et al,: Orthodontic tooth movement through the maxillary sinus in an adult patient with multiple missing teeth. . In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 146, no. 4, pp. 493-505, 2014. (Type: Journal Article | Abstract | Links | BibTeX | Tags: Cone-beam computed tomography, fixed appliances, Growth, hyperdivergent, orthodontic, Peer Assessment Rating Index, research, vertical control)@article{Oh2014,This case report describes the successful orthodontic tooth movement through the maxillary sinus in an adult patient. A 41-year-old Asian woman had severe lip protrusion and multiple missing posterior teeth. Her orthodontic treatment included the extraction of 2 teeth, maximum retraction of the incisors using the extraction spaces and the existing spaces from the missing molars, and closure of all remaining spaces. Even though the treatment time was extended because of the anatomic and biologic challenges associated with moving posterior teeth over a long distance through the maxillary sinus, a successful outcome was obtained, with significant bone modeling of the maxillary sinus. The results demonstrate that a carefully selected force system can overcome the anatomic limitations of moving tooth against the cortical bone of the maxillary sinus wall in adult patients. |
2010 |
Xu, T-M; Zhang, X; Oh, HS; Boyd, R; Korn, El; Baumrind, S: A Randomized Clinical Trial (RCT) Comparing Maxillary Molar Anchorage Loss Using Two Retraction Techniques.. In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 138, no. 5, pp. 544-5, 2010. (Type: Journal Article | Abstract | Links | BibTeX | Tags: adult, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, open bite, orthodontic, Peer Assessment Rating Index, retrospective)@article{Xu2010,The objective of this pilot randomized clinical trial was to investigate the relative effectiveness of anchorage conservation of en-masse and 2-step retraction techniques during maximum anchorage treatment in patients with Angle Class I and Class II malocclusions. |
2009 |
Oh, HS; Korn, EL; Zhang, XY; Liu, Y; Xu, T-M; Boyd, R; Baumrind, S: Correlation between cephalometric and photographic measurements of facial attractiveness in Chinese and U.S. patients at the end of orthodontic treatment.. In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 136, no. 6, pp. e1-14; discussion 762-3, 2009. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, Cranial base, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Peer Assessment Rating Index, Posttreatment)@article{Oh2009,Orthodontists rely on esthetic judgments from facial photographs. Concordance between estimates of facial attractiveness made from lateral cephalograms and those made from clinical photographs has not been determined. We conducted a preliminary examination to correlate clinicians' rankings of facial attractiveness from standardized end-of-treatment facial photographs (Photo Attractiveness Rank) with cephalometric measurements of facial attractiveness made for the same subjects at the same time. |
Lui, Y; Korn, EL; Oh, HS; Pearson, H; Xu, T-M; Baumrind, S: Comparison of Chinese and U.S. Orthodontists' Averaged Evaluations of "Facial Attractiveness" from End-of-Treatment Facial Photographs. . In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 135, no. 5, pp. 621-34, 2009. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Adolescents, Cone-beam computed tomography, Cranial base, craniofacial, Discrepency Index, Growth, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, technique, vertical control, x-ray)@article{Liu2009,This study continues our assessment of agreement and disagreement among 25 Chinese and 20 US orthodontists in the ranking for facial attractiveness of end-of-treatment photographs of randomly sampled growing Chinese and white orthodontic patients. The main aims of this article were to (1) measure the overall pattern of agreement between the mean rankings of US and Chinese orthodontists, and (2) measure the strength of agreement between the rankings of the US and Chinese orthodontists for each patient. |
2008 |
Xu, T-M; Korn, EL; Liu, Y; Oh, HS; Lee, KH; Baumrind, S: "Facial Attractiveness": Ranking of End-of-Treatment Facial Photographs by Chinese and U.S. Orthodontists.. In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 134, no. 1, pp. 74-84, 2008. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Adolescents, anterior openbite, clinical orthodontist, Cone-beam computed tomography, Cranial base, hyperdivergent, Mandibular fixed retainer, open bite, retrospective)@article{Xu2008,In this study, we assessed agreement and disagreement among pairs of Chinese and US orthodontists in the ranking for "facial attractiveness" of end-of-treatment photographs of growing Chinese and white orthodontic patients. |
2001 |
SK, Lee; YS, Kim; HS, Oh; KH, Yang; EC, Kim; JG, Chi: Prenatal development of the human mandible. . In: The Anatomical Record, vol. 263, no. 3, pp. 314-25, 2001. (Type: Journal Article | Abstract | Links | BibTeX | Tags: adult, anterior openbite, clear aligners, clinical orthodontist, Cone-beam computed tomography, craniofacial, Discrepency Index, hyperdivergent, Mandibular fixed retainer, Posttreatment, pressure tension)@article{Lee2001,In an effort to better understand the interrelationship of the growth and development pattern of the mandible and condyle, a sequential growth pattern of human mandibles in 38 embryos and 111 fetuses were examined by serial histological sections and soft X-ray views. The basic growth pattern of the mandibular body and condyle appeared in week 7 of fertilization. Histologically, the embryonal mandible originated from primary intramembranous ossification in the fibrous mesenchymal tissue around the Meckel cartilage. From this initial ossification, the ramifying trabecular bones developed forward, backward and upward, to form the symphysis, mandibular body, and coronoid process, respectively. We named this initial ossification site of embryonal mandible as the mandibular primary growth center (MdPGC). During week 8 of fertilization, the trabecular bone of the mandibular body grew rapidly to form muscular attachments to the masseter, temporalis, and pterygoid muscles. The mandible was then rapidly separated from the Meckel cartilage and formed a condyle blastema at the posterior end of linear mandibular trabeculae. The condyle blastema, attached to the upper part of pterygoid muscle, grew backward and upward and concurrent endochondral ossification resulted in the formation of the condyle. From week 14 of fertilization, the growth of conical structure of condyle became apparent on histological and radiological examinations. The mandibular body showed a conspicuous radiating trabecular growth pattern centered at the MdPGC, located around the apical area of deciduous first molar. The condyle growth showed characteristic conical structure and abundant hematopoietic tissue in the marrow. The growth of the proximal end of condyle was also approximated to the MdPGC on radiograms. Taken together, we hypothesized that the MdPGC has an important morphogenetic affect for the development of the human mandible, providing a growth center for the trabecular bone of mandibular body and also indicating the initial growth of endochondral ossification of the condyle. |
0000 |
C, Thereza-Bussolaro; HS, Oh; M, Lagravere; C, Flores-Mir: Pharyngeal dimensional changes in class II malocclusion treatment when using Forsus® or intermaxillary elastics - An exploratory study.. In: Int Orthod, vol. 17, no. 4, pp. 667-677, 0000. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, adult, clear aligners, Cone-beam computed tomography, Cranial base, craniofacial, Mandibular fixed retainer, Mandibular remodeling, Peer Assessment Rating Index, pressure tension, research, teaching, technique, vertical control)@article{Bussolaro2019,Pharyngeal airway obstruction can facilitate some forms of sleep disorder breathing (SDB) in susceptible children, especially in those having class II malocclusion. Changes in the anatomic areas surrounding the pharyngeal region during orthodontic treatment could hypothetically impact the pharyngeal airway dimensions. Management of a class II malocclusion on a growing individual with either intermaxillary elastics or different removable or fixed class II appliance designs have been proposed over the last century. The objective of this retrospective exploratory cohort study is to investigate to what extent the class II malocclusion treatment with either intermaxillary elastics (IME) or Forsus® fatigue resistance device (FFRD) leads to changes in oropharyngeal airway dimensions. |