Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1117/12.2082226 http://hdl.handle.net/11449/177624 |
Resumo: | The aim of this study was to investigate imaging statistical approaches for classifying 3D osteoarthritic morphological variations among 169 Temporomandibular Joint (TMJ) condyles. Cone beam Computed Tomography (CBCT) scans were acquired from 69 patients with long-term TMJ Osteoarthritis (OA) (39.1 ± 15.7 years), 15 patients at initial diagnosis of OA (44.9 ± 14.8 years) and 7 healthy controls (43 ± 12.4 years). 3D surface models of the condyles were constructed and Shape Correspondence was used to establish correspondent points on each model. The statistical framework included a multivariate analysis of covariance (MANCOVA) and Direction-Projection-Permutation (DiProPerm) for testing statistical significance of the differences between healthy control and the OA group determined by clinical and radiographic diagnoses. Unsupervised classification using hierarchical agglomerative clustering (HAC) was then conducted. Condylar morphology in OA and healthy subjects varied widely. Compared with healthy controls, OA average condyle was statistically significantly smaller in all dimensions except its anterior surface. Significant flattening of the lateral pole was noticed at initial diagnosis (p < 0.05). It was observed areas of 3.88 mm bone resorption at the superior surface and 3.10 mm bone apposition at the anterior aspect of the long-term OA average model. 1000 permutation statistics of DiProPerm supported a significant difference between the healthy control group and OA group (t = 6.7, empirical p-value = 0.001). Clinically meaningful unsupervised classification of TMJ condylar morphology determined a preliminary diagnostic index of 3D osteoarthritic changes, which may be the first step towards a more targeted diagnosis of this condition. |
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Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology3D imagingBone OvergrowthBone ResorptionOsteoarthritisTemporomandibular Joint DisordersThe aim of this study was to investigate imaging statistical approaches for classifying 3D osteoarthritic morphological variations among 169 Temporomandibular Joint (TMJ) condyles. Cone beam Computed Tomography (CBCT) scans were acquired from 69 patients with long-term TMJ Osteoarthritis (OA) (39.1 ± 15.7 years), 15 patients at initial diagnosis of OA (44.9 ± 14.8 years) and 7 healthy controls (43 ± 12.4 years). 3D surface models of the condyles were constructed and Shape Correspondence was used to establish correspondent points on each model. The statistical framework included a multivariate analysis of covariance (MANCOVA) and Direction-Projection-Permutation (DiProPerm) for testing statistical significance of the differences between healthy control and the OA group determined by clinical and radiographic diagnoses. Unsupervised classification using hierarchical agglomerative clustering (HAC) was then conducted. Condylar morphology in OA and healthy subjects varied widely. Compared with healthy controls, OA average condyle was statistically significantly smaller in all dimensions except its anterior surface. Significant flattening of the lateral pole was noticed at initial diagnosis (p < 0.05). It was observed areas of 3.88 mm bone resorption at the superior surface and 3.10 mm bone apposition at the anterior aspect of the long-term OA average model. 1000 permutation statistics of DiProPerm supported a significant difference between the healthy control group and OA group (t = 6.7, empirical p-value = 0.001). Clinically meaningful unsupervised classification of TMJ condylar morphology determined a preliminary diagnostic index of 3D osteoarthritic changes, which may be the first step towards a more targeted diagnosis of this condition.University of Michigan, 1011 North University AvenueUniversity of North Carolina, 101 Manning DriveUNESP Univ Estadual Paulista, 1680 Humaita StreetBaylor University Medical Center, 3501 Junius StreetUNESP Univ Estadual Paulista, 1680 Humaita StreetUniversity of MichiganUniversity of North CarolinaUniversidade Estadual Paulista (Unesp)Medical CenterGomes, Liliane R. [UNESP]Gomes, MarceloJung, BryanPaniagua, BeatrizRuellas, Antonio C.Goncąlves, Joaõ Roberto [UNESP]Styner, Martin A.Wolford, LarryCevidanes, Lucia2018-12-11T17:26:22Z2018-12-11T17:26:22Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1117/12.2082226Progress in Biomedical Optics and Imaging - Proceedings of SPIE, v. 9414.1605-7422http://hdl.handle.net/11449/17762410.1117/12.20822262-s2.0-84948799588Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProgress in Biomedical Optics and Imaging - Proceedings of SPIE0,243info:eu-repo/semantics/openAccess2024-09-26T14:22:32Zoai:repositorio.unesp.br:11449/177624Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-26T14:22:32Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology |
title |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology |
spellingShingle |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology Gomes, Liliane R. [UNESP] 3D imaging Bone Overgrowth Bone Resorption Osteoarthritis Temporomandibular Joint Disorders |
title_short |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology |
title_full |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology |
title_fullStr |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology |
title_full_unstemmed |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology |
title_sort |
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology |
author |
Gomes, Liliane R. [UNESP] |
author_facet |
Gomes, Liliane R. [UNESP] Gomes, Marcelo Jung, Bryan Paniagua, Beatriz Ruellas, Antonio C. Goncąlves, Joaõ Roberto [UNESP] Styner, Martin A. Wolford, Larry Cevidanes, Lucia |
author_role |
author |
author2 |
Gomes, Marcelo Jung, Bryan Paniagua, Beatriz Ruellas, Antonio C. Goncąlves, Joaõ Roberto [UNESP] Styner, Martin A. Wolford, Larry Cevidanes, Lucia |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
University of Michigan University of North Carolina Universidade Estadual Paulista (Unesp) Medical Center |
dc.contributor.author.fl_str_mv |
Gomes, Liliane R. [UNESP] Gomes, Marcelo Jung, Bryan Paniagua, Beatriz Ruellas, Antonio C. Goncąlves, Joaõ Roberto [UNESP] Styner, Martin A. Wolford, Larry Cevidanes, Lucia |
dc.subject.por.fl_str_mv |
3D imaging Bone Overgrowth Bone Resorption Osteoarthritis Temporomandibular Joint Disorders |
topic |
3D imaging Bone Overgrowth Bone Resorption Osteoarthritis Temporomandibular Joint Disorders |
description |
The aim of this study was to investigate imaging statistical approaches for classifying 3D osteoarthritic morphological variations among 169 Temporomandibular Joint (TMJ) condyles. Cone beam Computed Tomography (CBCT) scans were acquired from 69 patients with long-term TMJ Osteoarthritis (OA) (39.1 ± 15.7 years), 15 patients at initial diagnosis of OA (44.9 ± 14.8 years) and 7 healthy controls (43 ± 12.4 years). 3D surface models of the condyles were constructed and Shape Correspondence was used to establish correspondent points on each model. The statistical framework included a multivariate analysis of covariance (MANCOVA) and Direction-Projection-Permutation (DiProPerm) for testing statistical significance of the differences between healthy control and the OA group determined by clinical and radiographic diagnoses. Unsupervised classification using hierarchical agglomerative clustering (HAC) was then conducted. Condylar morphology in OA and healthy subjects varied widely. Compared with healthy controls, OA average condyle was statistically significantly smaller in all dimensions except its anterior surface. Significant flattening of the lateral pole was noticed at initial diagnosis (p < 0.05). It was observed areas of 3.88 mm bone resorption at the superior surface and 3.10 mm bone apposition at the anterior aspect of the long-term OA average model. 1000 permutation statistics of DiProPerm supported a significant difference between the healthy control group and OA group (t = 6.7, empirical p-value = 0.001). Clinically meaningful unsupervised classification of TMJ condylar morphology determined a preliminary diagnostic index of 3D osteoarthritic changes, which may be the first step towards a more targeted diagnosis of this condition. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2018-12-11T17:26:22Z 2018-12-11T17:26:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1117/12.2082226 Progress in Biomedical Optics and Imaging - Proceedings of SPIE, v. 9414. 1605-7422 http://hdl.handle.net/11449/177624 10.1117/12.2082226 2-s2.0-84948799588 |
url |
http://dx.doi.org/10.1117/12.2082226 http://hdl.handle.net/11449/177624 |
identifier_str_mv |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, v. 9414. 1605-7422 10.1117/12.2082226 2-s2.0-84948799588 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 0,243 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
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1813546484339048448 |