Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology

Detalhes bibliográficos
Autor(a) principal: Gomes, Liliane R. [UNESP]
Data de Publicação: 2015
Outros Autores: Gomes, Marcelo, Jung, Bryan, Paniagua, Beatriz, Ruellas, Antonio C., Goncąlves, Joaõ Roberto [UNESP], Styner, Martin A., Wolford, Larry, Cevidanes, Lucia
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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spelling 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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