Publications
2021
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.
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).
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.
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.
2019
J, Park; Baumrind, S; S, Curry; S, Carlson; Oh, H
Reliability of 3D dental and skeletal landmarks on CBCT images. Journal Article
In: Angle Orthod, vol. 89, no. 5, pp. 758-767, 2019.
Abstract | Links | BibTeX | Tags: AAOF, Cranial base, Discrepency Index, extraction, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, Peer Assessment Rating Index
@article{Park2019,
title = {Reliability of 3D dental and skeletal landmarks on CBCT images.},
author = {Park J and S Baumrind and Curry S and Carlson S and H Oh},
url = {https://pubmed.ncbi.nlm.nih.gov/30883187/},
doi = {10.2319/082018-612.1},
year = {2019},
date = {2019-09-00},
journal = {Angle Orthod},
volume = {89},
number = {5},
pages = {758-767},
abstract = {To quantify reliability of three-dimensional skeletal landmarks and a comprehensive set of dental landmarks in cone-beam computed tomography (CBCT) and to determine the shapes of envelope of error.},
keywords = {AAOF, Cranial base, Discrepency Index, extraction, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, Peer Assessment Rating Index},
pubstate = {published},
tppubtype = {article}
}
To quantify reliability of three-dimensional skeletal landmarks and a comprehensive set of dental landmarks in cone-beam computed tomography (CBCT) and to determine the shapes of envelope of error.
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
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
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.
Liu, Siqi; Oh, Heesoo; Chambers, David W.; Baumrind, Sheldon; Xu, Tianmin
In: Orthodontics & Craniofacial Research, vol. 2017, no. 20, pp. 140-145, 2017.
Abstract | Links | BibTeX | Tags: Discrepency Index, malocclusion severity, Peer Assessment Rating Index
@article{Liu2017,
title = {Validity of the American Board of Orthodontics Discrepancy Index and the Peer Assessment Rating Index for comprehensive evaluation of malocclusion severity},
author = {Siqi Liu and Heesoo Oh and David W. Chambers and Sheldon Baumrind and Tianmin Xu},
url = {http://162.214.24.32/~crilorg/wp-content/uploads/2018/11/Validity-and-reliability-of-the-ABO-Discrepancy-Index-and-PAR-Index_2017OCR.pdf},
year = {2017},
date = {2017-07-03},
journal = {Orthodontics & Craniofacial Research},
volume = {2017},
number = {20},
pages = {140-145},
abstract = {Objectives: To assess the validity of the American Board of Orthodontics Discrepancy Index (ABO-DI) and Peer Assessment Rating (PAR) Index in evaluating malocclusion
severity in Chinese orthodontic patients.Setting and Sample Population: A stratified random sample of 120 orthodontic patients based on Angle classification was collected from six university orthodontic centres.
Material and Methods: Sixty-nine orthodontists rated malocclusion severity on a five-point scale by assessing a full set of pre-treatment records for each case and listed reasons for their decision. Their judgement was then compared with ABO-DI and PAR scores determined by three calibrated examiners.
Results: Excellent interexaminer reliability of clinician judgement, ABO-DI and PAR index was demonstrated by the Intraclass Correlation Coefficient (rho= 0.995, 0.990 and 0.964, respectively). Both the ABO-DI and US-PAR index showed good correlation with clinician judgement (r=.700 and r=.707, respectively). There was variability among the different Angle classifications: the ABO-DI showed the highest correlation with clinician judgement in Class II patients (r=.780), whereas the US-PAR index showed the highest correlation with clinician judgement in Class III patients (r=.710). Both indices demonstrated the lowest correlations with clinician judgement in Class I patients.
Conclusion: With strong interexaminer agreement, the panel consensus was used for validating the ABO-DI and US-PAR index for malocclusion severity. Overall, the ABO-DI
and US-PAR index were reliable for measuring malocclusion severity with significantly variable weightings for different Angle classifications. Further modification of the indices for different Angle classification may be indicated.},
keywords = {Discrepency Index, malocclusion severity, Peer Assessment Rating Index},
pubstate = {published},
tppubtype = {article}
}
Objectives: To assess the validity of the American Board of Orthodontics Discrepancy Index (ABO-DI) and Peer Assessment Rating (PAR) Index in evaluating malocclusion
severity in Chinese orthodontic patients.Setting and Sample Population: A stratified random sample of 120 orthodontic patients based on Angle classification was collected from six university orthodontic centres.
Material and Methods: Sixty-nine orthodontists rated malocclusion severity on a five-point scale by assessing a full set of pre-treatment records for each case and listed reasons for their decision. Their judgement was then compared with ABO-DI and PAR scores determined by three calibrated examiners.
Results: Excellent interexaminer reliability of clinician judgement, ABO-DI and PAR index was demonstrated by the Intraclass Correlation Coefficient (rho= 0.995, 0.990 and 0.964, respectively). Both the ABO-DI and US-PAR index showed good correlation with clinician judgement (r=.700 and r=.707, respectively). There was variability among the different Angle classifications: the ABO-DI showed the highest correlation with clinician judgement in Class II patients (r=.780), whereas the US-PAR index showed the highest correlation with clinician judgement in Class III patients (r=.710). Both indices demonstrated the lowest correlations with clinician judgement in Class I patients.
Conclusion: With strong interexaminer agreement, the panel consensus was used for validating the ABO-DI and US-PAR index for malocclusion severity. Overall, the ABO-DI
and US-PAR index were reliable for measuring malocclusion severity with significantly variable weightings for different Angle classifications. Further modification of the indices for different Angle classification may be indicated.
severity in Chinese orthodontic patients.Setting and Sample Population: A stratified random sample of 120 orthodontic patients based on Angle classification was collected from six university orthodontic centres.
Material and Methods: Sixty-nine orthodontists rated malocclusion severity on a five-point scale by assessing a full set of pre-treatment records for each case and listed reasons for their decision. Their judgement was then compared with ABO-DI and PAR scores determined by three calibrated examiners.
Results: Excellent interexaminer reliability of clinician judgement, ABO-DI and PAR index was demonstrated by the Intraclass Correlation Coefficient (rho= 0.995, 0.990 and 0.964, respectively). Both the ABO-DI and US-PAR index showed good correlation with clinician judgement (r=.700 and r=.707, respectively). There was variability among the different Angle classifications: the ABO-DI showed the highest correlation with clinician judgement in Class II patients (r=.780), whereas the US-PAR index showed the highest correlation with clinician judgement in Class III patients (r=.710). Both indices demonstrated the lowest correlations with clinician judgement in Class I patients.
Conclusion: With strong interexaminer agreement, the panel consensus was used for validating the ABO-DI and US-PAR index for malocclusion severity. Overall, the ABO-DI
and US-PAR index were reliable for measuring malocclusion severity with significantly variable weightings for different Angle classifications. Further modification of the indices for different Angle classification may be indicated.
Liu, Siqi; Oh, Heesoo; Chambers, David W.; Xu, Tianmin; Baumrind, Sheldon
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. 1-7, 2017, ISBN: 0141-5387.
Abstract | Links | BibTeX | Tags: Chinese, Discrepency Index, Peer Assessment Rating Index
@article{Liu2017b,
title = {Interpreting weightings of the peer assessment rating index and the discrepancy index across contexts on Chinese patients},
author = {Siqi Liu and Heesoo Oh and David W. Chambers and Tianmin Xu and Sheldon Baumrind},
url = {http://162.214.24.32/~crilorg/wp-content/uploads/2018/11/Interpreting-weightings-of-the-PAR-and-ABO-DI_EJO-2017.pdf},
doi = {10.1093/ejo/cjx043},
isbn = {0141-5387},
year = {2017},
date = {2017-04-01},
journal = {European Journal of Orthodontics},
volume = {40},
number = {2},
pages = {1-7},
abstract = {Objective: Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients.
Methods: Sixty-nine Chinese orthodontists assessed a full set of pre-treatment records from a stratified random sample of 120 subjects gathered from six university orthodontic centres. Using professional judgment as the outcome variable, multiple regression analyses were performed to derive customized weighting systems for the PAR index and DI, for all subjects and each Angle classification subgroup.
Results: Professional judgment was consistent, with an Intraclass Correlation Coefficient (ICC) of0.995. The PAR index or DI can be reliably measured, with ICC = 0.959 and 0.990, respectively. The predictive accuracy of PAR index was greatly improved by the Chinese weighting process (from r = 0.431 to r = 0.788) with almost equal distribution in each Angle classification subgroup. The Chinese-weighted DI showed a higher predictive accuracy, at P = 0.01, compared with the PAR index (r = 0.851 versus r = 0.788). A better performance was found in the Class II group (r = 0.890) when compared to Class I (r = 0.736) and III (r = 0.785) groups.
Conclusions: The Chinese-weighted PAR index and DI were capable of predicting 62 per cent and73 per cent of total variance in the professional judgment of malocclusion severity in Chinese patients. Differential prediction across Angle classifications merits attention since different weighting formulas were found.},
keywords = {Chinese, Discrepency Index, Peer Assessment Rating Index},
pubstate = {published},
tppubtype = {article}
}
Objective: Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients.
Methods: Sixty-nine Chinese orthodontists assessed a full set of pre-treatment records from a stratified random sample of 120 subjects gathered from six university orthodontic centres. Using professional judgment as the outcome variable, multiple regression analyses were performed to derive customized weighting systems for the PAR index and DI, for all subjects and each Angle classification subgroup.
Results: Professional judgment was consistent, with an Intraclass Correlation Coefficient (ICC) of0.995. The PAR index or DI can be reliably measured, with ICC = 0.959 and 0.990, respectively. The predictive accuracy of PAR index was greatly improved by the Chinese weighting process (from r = 0.431 to r = 0.788) with almost equal distribution in each Angle classification subgroup. The Chinese-weighted DI showed a higher predictive accuracy, at P = 0.01, compared with the PAR index (r = 0.851 versus r = 0.788). A better performance was found in the Class II group (r = 0.890) when compared to Class I (r = 0.736) and III (r = 0.785) groups.
Conclusions: The Chinese-weighted PAR index and DI were capable of predicting 62 per cent and73 per cent of total variance in the professional judgment of malocclusion severity in Chinese patients. Differential prediction across Angle classifications merits attention since different weighting formulas were found.
Methods: Sixty-nine Chinese orthodontists assessed a full set of pre-treatment records from a stratified random sample of 120 subjects gathered from six university orthodontic centres. Using professional judgment as the outcome variable, multiple regression analyses were performed to derive customized weighting systems for the PAR index and DI, for all subjects and each Angle classification subgroup.
Results: Professional judgment was consistent, with an Intraclass Correlation Coefficient (ICC) of0.995. The PAR index or DI can be reliably measured, with ICC = 0.959 and 0.990, respectively. The predictive accuracy of PAR index was greatly improved by the Chinese weighting process (from r = 0.431 to r = 0.788) with almost equal distribution in each Angle classification subgroup. The Chinese-weighted DI showed a higher predictive accuracy, at P = 0.01, compared with the PAR index (r = 0.851 versus r = 0.788). A better performance was found in the Class II group (r = 0.890) when compared to Class I (r = 0.736) and III (r = 0.785) groups.
Conclusions: The Chinese-weighted PAR index and DI were capable of predicting 62 per cent and73 per cent of total variance in the professional judgment of malocclusion severity in Chinese patients. Differential prediction across Angle classifications merits attention since different weighting formulas were found.
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)
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.
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.
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.
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).
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.
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.
J, Park; Baumrind, S; S, Curry; S, Carlson; Oh, H
Reliability of 3D dental and skeletal landmarks on CBCT images. Journal Article
In: Angle Orthod, vol. 89, no. 5, pp. 758-767, 2019.
@article{Park2019,
title = {Reliability of 3D dental and skeletal landmarks on CBCT images.},
author = {Park J and S Baumrind and Curry S and Carlson S and H Oh},
url = {https://pubmed.ncbi.nlm.nih.gov/30883187/},
doi = {10.2319/082018-612.1},
year = {2019},
date = {2019-09-00},
journal = {Angle Orthod},
volume = {89},
number = {5},
pages = {758-767},
abstract = {To quantify reliability of three-dimensional skeletal landmarks and a comprehensive set of dental landmarks in cone-beam computed tomography (CBCT) and to determine the shapes of envelope of error.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
To quantify reliability of three-dimensional skeletal landmarks and a comprehensive set of dental landmarks in cone-beam computed tomography (CBCT) and to determine the shapes of envelope of error.
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.
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.
@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 = {},
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.
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.
@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 = {},
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.
Liu, Siqi; Oh, Heesoo; Chambers, David W.; Baumrind, Sheldon; Xu, Tianmin
Validity of the American Board of Orthodontics Discrepancy Index and the Peer Assessment Rating Index for comprehensive evaluation of malocclusion severity Journal Article
In: Orthodontics & Craniofacial Research, vol. 2017, no. 20, pp. 140-145, 2017.
@article{Liu2017,
title = {Validity of the American Board of Orthodontics Discrepancy Index and the Peer Assessment Rating Index for comprehensive evaluation of malocclusion severity},
author = {Siqi Liu and Heesoo Oh and David W. Chambers and Sheldon Baumrind and Tianmin Xu},
url = {http://162.214.24.32/~crilorg/wp-content/uploads/2018/11/Validity-and-reliability-of-the-ABO-Discrepancy-Index-and-PAR-Index_2017OCR.pdf},
year = {2017},
date = {2017-07-03},
journal = {Orthodontics & Craniofacial Research},
volume = {2017},
number = {20},
pages = {140-145},
abstract = {Objectives: To assess the validity of the American Board of Orthodontics Discrepancy Index (ABO-DI) and Peer Assessment Rating (PAR) Index in evaluating malocclusion
severity in Chinese orthodontic patients.Setting and Sample Population: A stratified random sample of 120 orthodontic patients based on Angle classification was collected from six university orthodontic centres.
Material and Methods: Sixty-nine orthodontists rated malocclusion severity on a five-point scale by assessing a full set of pre-treatment records for each case and listed reasons for their decision. Their judgement was then compared with ABO-DI and PAR scores determined by three calibrated examiners.
Results: Excellent interexaminer reliability of clinician judgement, ABO-DI and PAR index was demonstrated by the Intraclass Correlation Coefficient (rho= 0.995, 0.990 and 0.964, respectively). Both the ABO-DI and US-PAR index showed good correlation with clinician judgement (r=.700 and r=.707, respectively). There was variability among the different Angle classifications: the ABO-DI showed the highest correlation with clinician judgement in Class II patients (r=.780), whereas the US-PAR index showed the highest correlation with clinician judgement in Class III patients (r=.710). Both indices demonstrated the lowest correlations with clinician judgement in Class I patients.
Conclusion: With strong interexaminer agreement, the panel consensus was used for validating the ABO-DI and US-PAR index for malocclusion severity. Overall, the ABO-DI
and US-PAR index were reliable for measuring malocclusion severity with significantly variable weightings for different Angle classifications. Further modification of the indices for different Angle classification may be indicated.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objectives: To assess the validity of the American Board of Orthodontics Discrepancy Index (ABO-DI) and Peer Assessment Rating (PAR) Index in evaluating malocclusion
severity in Chinese orthodontic patients.Setting and Sample Population: A stratified random sample of 120 orthodontic patients based on Angle classification was collected from six university orthodontic centres.
Material and Methods: Sixty-nine orthodontists rated malocclusion severity on a five-point scale by assessing a full set of pre-treatment records for each case and listed reasons for their decision. Their judgement was then compared with ABO-DI and PAR scores determined by three calibrated examiners.
Results: Excellent interexaminer reliability of clinician judgement, ABO-DI and PAR index was demonstrated by the Intraclass Correlation Coefficient (rho= 0.995, 0.990 and 0.964, respectively). Both the ABO-DI and US-PAR index showed good correlation with clinician judgement (r=.700 and r=.707, respectively). There was variability among the different Angle classifications: the ABO-DI showed the highest correlation with clinician judgement in Class II patients (r=.780), whereas the US-PAR index showed the highest correlation with clinician judgement in Class III patients (r=.710). Both indices demonstrated the lowest correlations with clinician judgement in Class I patients.
Conclusion: With strong interexaminer agreement, the panel consensus was used for validating the ABO-DI and US-PAR index for malocclusion severity. Overall, the ABO-DI
and US-PAR index were reliable for measuring malocclusion severity with significantly variable weightings for different Angle classifications. Further modification of the indices for different Angle classification may be indicated.
severity in Chinese orthodontic patients.Setting and Sample Population: A stratified random sample of 120 orthodontic patients based on Angle classification was collected from six university orthodontic centres.
Material and Methods: Sixty-nine orthodontists rated malocclusion severity on a five-point scale by assessing a full set of pre-treatment records for each case and listed reasons for their decision. Their judgement was then compared with ABO-DI and PAR scores determined by three calibrated examiners.
Results: Excellent interexaminer reliability of clinician judgement, ABO-DI and PAR index was demonstrated by the Intraclass Correlation Coefficient (rho= 0.995, 0.990 and 0.964, respectively). Both the ABO-DI and US-PAR index showed good correlation with clinician judgement (r=.700 and r=.707, respectively). There was variability among the different Angle classifications: the ABO-DI showed the highest correlation with clinician judgement in Class II patients (r=.780), whereas the US-PAR index showed the highest correlation with clinician judgement in Class III patients (r=.710). Both indices demonstrated the lowest correlations with clinician judgement in Class I patients.
Conclusion: With strong interexaminer agreement, the panel consensus was used for validating the ABO-DI and US-PAR index for malocclusion severity. Overall, the ABO-DI
and US-PAR index were reliable for measuring malocclusion severity with significantly variable weightings for different Angle classifications. Further modification of the indices for different Angle classification may be indicated.
Liu, Siqi; Oh, Heesoo; Chambers, David W.; Xu, Tianmin; Baumrind, Sheldon
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. 1-7, 2017, ISBN: 0141-5387.
@article{Liu2017b,
title = {Interpreting weightings of the peer assessment rating index and the discrepancy index across contexts on Chinese patients},
author = {Siqi Liu and Heesoo Oh and David W. Chambers and Tianmin Xu and Sheldon Baumrind},
url = {http://162.214.24.32/~crilorg/wp-content/uploads/2018/11/Interpreting-weightings-of-the-PAR-and-ABO-DI_EJO-2017.pdf},
doi = {10.1093/ejo/cjx043},
isbn = {0141-5387},
year = {2017},
date = {2017-04-01},
journal = {European Journal of Orthodontics},
volume = {40},
number = {2},
pages = {1-7},
abstract = {Objective: Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients.
Methods: Sixty-nine Chinese orthodontists assessed a full set of pre-treatment records from a stratified random sample of 120 subjects gathered from six university orthodontic centres. Using professional judgment as the outcome variable, multiple regression analyses were performed to derive customized weighting systems for the PAR index and DI, for all subjects and each Angle classification subgroup.
Results: Professional judgment was consistent, with an Intraclass Correlation Coefficient (ICC) of0.995. The PAR index or DI can be reliably measured, with ICC = 0.959 and 0.990, respectively. The predictive accuracy of PAR index was greatly improved by the Chinese weighting process (from r = 0.431 to r = 0.788) with almost equal distribution in each Angle classification subgroup. The Chinese-weighted DI showed a higher predictive accuracy, at P = 0.01, compared with the PAR index (r = 0.851 versus r = 0.788). A better performance was found in the Class II group (r = 0.890) when compared to Class I (r = 0.736) and III (r = 0.785) groups.
Conclusions: The Chinese-weighted PAR index and DI were capable of predicting 62 per cent and73 per cent of total variance in the professional judgment of malocclusion severity in Chinese patients. Differential prediction across Angle classifications merits attention since different weighting formulas were found.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objective: Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients.
Methods: Sixty-nine Chinese orthodontists assessed a full set of pre-treatment records from a stratified random sample of 120 subjects gathered from six university orthodontic centres. Using professional judgment as the outcome variable, multiple regression analyses were performed to derive customized weighting systems for the PAR index and DI, for all subjects and each Angle classification subgroup.
Results: Professional judgment was consistent, with an Intraclass Correlation Coefficient (ICC) of0.995. The PAR index or DI can be reliably measured, with ICC = 0.959 and 0.990, respectively. The predictive accuracy of PAR index was greatly improved by the Chinese weighting process (from r = 0.431 to r = 0.788) with almost equal distribution in each Angle classification subgroup. The Chinese-weighted DI showed a higher predictive accuracy, at P = 0.01, compared with the PAR index (r = 0.851 versus r = 0.788). A better performance was found in the Class II group (r = 0.890) when compared to Class I (r = 0.736) and III (r = 0.785) groups.
Conclusions: The Chinese-weighted PAR index and DI were capable of predicting 62 per cent and73 per cent of total variance in the professional judgment of malocclusion severity in Chinese patients. Differential prediction across Angle classifications merits attention since different weighting formulas were found.
Methods: Sixty-nine Chinese orthodontists assessed a full set of pre-treatment records from a stratified random sample of 120 subjects gathered from six university orthodontic centres. Using professional judgment as the outcome variable, multiple regression analyses were performed to derive customized weighting systems for the PAR index and DI, for all subjects and each Angle classification subgroup.
Results: Professional judgment was consistent, with an Intraclass Correlation Coefficient (ICC) of0.995. The PAR index or DI can be reliably measured, with ICC = 0.959 and 0.990, respectively. The predictive accuracy of PAR index was greatly improved by the Chinese weighting process (from r = 0.431 to r = 0.788) with almost equal distribution in each Angle classification subgroup. The Chinese-weighted DI showed a higher predictive accuracy, at P = 0.01, compared with the PAR index (r = 0.851 versus r = 0.788). A better performance was found in the Class II group (r = 0.890) when compared to Class I (r = 0.736) and III (r = 0.785) groups.
Conclusions: The Chinese-weighted PAR index and DI were capable of predicting 62 per cent and73 per cent of total variance in the professional judgment of malocclusion severity in Chinese patients. Differential prediction across Angle classifications merits attention since different weighting formulas were found.
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.
@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 = {},
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; 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.
@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 = {},
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.
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.
@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 = {},
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.
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.
@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 = {},
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.
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. Journal Article
In: American Journal of Orthodontics & Dentofacial Orthopedics, vol. 136, no. 6, pp. e1-14; discussion 762-3, 2009.
@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 = {},
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.
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.
@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 = {},
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.
2021 |
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. |
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). |
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. |
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. |
2019 |
J, Park; Baumrind, S; S, Curry; S, Carlson; Oh, H: Reliability of 3D dental and skeletal landmarks on CBCT images.. In: Angle Orthod, vol. 89, no. 5, pp. 758-767, 2019. (Type: Journal Article | Abstract | Links | BibTeX | Tags: AAOF, Cranial base, Discrepency Index, extraction, hyperdivergent, Mandibular fixed retainer, Mandibular remodeling, Peer Assessment Rating Index)@article{Park2019,To quantify reliability of three-dimensional skeletal landmarks and a comprehensive set of dental landmarks in cone-beam computed tomography (CBCT) and to determine the shapes of envelope of error. |
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 |
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 |
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. |
Liu, Siqi; Oh, Heesoo; Chambers, David W.; Baumrind, Sheldon; Xu, Tianmin: Validity of the American Board of Orthodontics Discrepancy Index and the Peer Assessment Rating Index for comprehensive evaluation of malocclusion severity. In: Orthodontics & Craniofacial Research, vol. 2017, no. 20, pp. 140-145, 2017. (Type: Journal Article | Abstract | Links | BibTeX | Tags: Discrepency Index, malocclusion severity, Peer Assessment Rating Index)@article{Liu2017,Objectives: To assess the validity of the American Board of Orthodontics Discrepancy Index (ABO-DI) and Peer Assessment Rating (PAR) Index in evaluating malocclusion severity in Chinese orthodontic patients.Setting and Sample Population: A stratified random sample of 120 orthodontic patients based on Angle classification was collected from six university orthodontic centres. Material and Methods: Sixty-nine orthodontists rated malocclusion severity on a five-point scale by assessing a full set of pre-treatment records for each case and listed reasons for their decision. Their judgement was then compared with ABO-DI and PAR scores determined by three calibrated examiners. Results: Excellent interexaminer reliability of clinician judgement, ABO-DI and PAR index was demonstrated by the Intraclass Correlation Coefficient (rho= 0.995, 0.990 and 0.964, respectively). Both the ABO-DI and US-PAR index showed good correlation with clinician judgement (r=.700 and r=.707, respectively). There was variability among the different Angle classifications: the ABO-DI showed the highest correlation with clinician judgement in Class II patients (r=.780), whereas the US-PAR index showed the highest correlation with clinician judgement in Class III patients (r=.710). Both indices demonstrated the lowest correlations with clinician judgement in Class I patients. Conclusion: With strong interexaminer agreement, the panel consensus was used for validating the ABO-DI and US-PAR index for malocclusion severity. Overall, the ABO-DI and US-PAR index were reliable for measuring malocclusion severity with significantly variable weightings for different Angle classifications. Further modification of the indices for different Angle classification may be indicated. |
Liu, Siqi; Oh, Heesoo; Chambers, David W.; Xu, Tianmin; Baumrind, Sheldon: 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. 1-7, 2017, ISBN: 0141-5387. (Type: Journal Article | Abstract | Links | BibTeX | Tags: Chinese, Discrepency Index, Peer Assessment Rating Index)@article{Liu2017b,Objective: Determine optimal weightings of Peer Assessment Rating (PAR) index and Discrepancy Index (DI) for malocclusion severity assessment in Chinese orthodontic patients. Methods: Sixty-nine Chinese orthodontists assessed a full set of pre-treatment records from a stratified random sample of 120 subjects gathered from six university orthodontic centres. Using professional judgment as the outcome variable, multiple regression analyses were performed to derive customized weighting systems for the PAR index and DI, for all subjects and each Angle classification subgroup. Results: Professional judgment was consistent, with an Intraclass Correlation Coefficient (ICC) of0.995. The PAR index or DI can be reliably measured, with ICC = 0.959 and 0.990, respectively. The predictive accuracy of PAR index was greatly improved by the Chinese weighting process (from r = 0.431 to r = 0.788) with almost equal distribution in each Angle classification subgroup. The Chinese-weighted DI showed a higher predictive accuracy, at P = 0.01, compared with the PAR index (r = 0.851 versus r = 0.788). A better performance was found in the Class II group (r = 0.890) when compared to Class I (r = 0.736) and III (r = 0.785) groups. Conclusions: The Chinese-weighted PAR index and DI were capable of predicting 62 per cent and73 per cent of total variance in the professional judgment of malocclusion severity in Chinese patients. Differential prediction across Angle classifications merits attention since different weighting formulas were found. |
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) |
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. |
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. |