Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis

Detalhes bibliográficos
Autor(a) principal: Bianchi, J. [UNESP]
Data de Publicação: 2020
Outros Autores: Gonçalves, J. R. [UNESP], de Oliveira Ruellas, A. C., Ashman, L. M., Vimort, J. B., Yatabe, M., Paniagua, B., Hernandez, P., Benavides, E., Soki, F. N., Ioshida, M., Cevidanes, L. H.S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.ijom.2020.04.018
http://hdl.handle.net/11449/199035
Resumo: Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.
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spelling Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritisbiomarkerscone beam computed tomographyosteoarthritistemporomandibular jointBone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Norges IdrettshøgskoleDepartment of Orthodontics and Pediatric Dentistry School of Dentistry University of MichiganDepartment of Pediatric Dentistry São Paulo State University (Unesp) School of DentistryOral and Maxillofacial Surgery Hospital Dentistry University of MichiganKitware Inc.Department of Periodontics and Oral Medicine School of Dentistry University of MichiganDepartment of Pediatric Dentistry São Paulo State University (Unesp) School of DentistryUniversity of MichiganUniversidade Estadual Paulista (Unesp)Inc.Bianchi, J. [UNESP]Gonçalves, J. R. [UNESP]de Oliveira Ruellas, A. C.Ashman, L. M.Vimort, J. B.Yatabe, M.Paniagua, B.Hernandez, P.Benavides, E.Soki, F. N.Ioshida, M.Cevidanes, L. H.S.2020-12-12T01:29:03Z2020-12-12T01:29:03Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.ijom.2020.04.018International Journal of Oral and Maxillofacial Surgery.1399-00200901-5027http://hdl.handle.net/11449/19903510.1016/j.ijom.2020.04.0182-s2.0-85087004544Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Oral and Maxillofacial Surgeryinfo:eu-repo/semantics/openAccess2021-10-23T01:35:30Zoai:repositorio.unesp.br:11449/199035Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:12:35.029379Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
title Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
spellingShingle Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
Bianchi, J. [UNESP]
biomarkers
cone beam computed tomography
osteoarthritis
temporomandibular joint
title_short Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
title_full Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
title_fullStr Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
title_full_unstemmed Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
title_sort Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis
author Bianchi, J. [UNESP]
author_facet Bianchi, J. [UNESP]
Gonçalves, J. R. [UNESP]
de Oliveira Ruellas, A. C.
Ashman, L. M.
Vimort, J. B.
Yatabe, M.
Paniagua, B.
Hernandez, P.
Benavides, E.
Soki, F. N.
Ioshida, M.
Cevidanes, L. H.S.
author_role author
author2 Gonçalves, J. R. [UNESP]
de Oliveira Ruellas, A. C.
Ashman, L. M.
Vimort, J. B.
Yatabe, M.
Paniagua, B.
Hernandez, P.
Benavides, E.
Soki, F. N.
Ioshida, M.
Cevidanes, L. H.S.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv University of Michigan
Universidade Estadual Paulista (Unesp)
Inc.
dc.contributor.author.fl_str_mv Bianchi, J. [UNESP]
Gonçalves, J. R. [UNESP]
de Oliveira Ruellas, A. C.
Ashman, L. M.
Vimort, J. B.
Yatabe, M.
Paniagua, B.
Hernandez, P.
Benavides, E.
Soki, F. N.
Ioshida, M.
Cevidanes, L. H.S.
dc.subject.por.fl_str_mv biomarkers
cone beam computed tomography
osteoarthritis
temporomandibular joint
topic biomarkers
cone beam computed tomography
osteoarthritis
temporomandibular joint
description Bone degradation of the condylar surface is seen in temporomandibular joint osteoarthritis (TMJ OA); however, the initial changes occur in the subchondral bone. This cross-sectional study was performed to evaluate 23 subchondral bone imaging biomarkers for TMJ OA. The sample consisted of high-resolution cone beam computed tomography scans of 84 subjects, divided into two groups: TMJ OA (45 patients with TMJ OA) and control (39 asymptomatic subjects). Six regions of each mandibular condyle scan were extracted for computation of five bone morphometric and 18 grey-level texture-based variables. The groups were compared using the Mann–Whitney U-test, and the receiver operating characteristics (ROC) curve was determined for each variable that showed a statically significance difference. The results showed statistically significant differences in the subchondral bone microstructure in the lateral and central condylar regions between the control and TMJ OA groups (P < 0.05). The area under the ROC curve (AUC) for these variables was between 0.620 and 0.710. In conclusion, 13 imaging bone biomarkers presented an acceptable diagnostic performance for the diagnosis of TMJ OA, indicating that the texture and geometry of the subchondral bone microarchitecture may be useful for quantitative grading of the disease.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T01:29:03Z
2020-12-12T01:29:03Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.ijom.2020.04.018
International Journal of Oral and Maxillofacial Surgery.
1399-0020
0901-5027
http://hdl.handle.net/11449/199035
10.1016/j.ijom.2020.04.018
2-s2.0-85087004544
url http://dx.doi.org/10.1016/j.ijom.2020.04.018
http://hdl.handle.net/11449/199035
identifier_str_mv International Journal of Oral and Maxillofacial Surgery.
1399-0020
0901-5027
10.1016/j.ijom.2020.04.018
2-s2.0-85087004544
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Oral and Maxillofacial Surgery
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
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