Literature DB >> 21419545

Structural characteristics of bilateral temporomandibular joint disc displacement without reduction and osteoarthrosis are important determinants of horizontal mandibular and vertical ramus deficiency: a magnetic resonance imaging study.

Stefan Bertram1, Alexander Moriggl, Ansgar Rudisch, Rüdiger Emshoff.   

Abstract

PURPOSE: To estimate in patients with temporomandibular joint (TMJ) arthralgia whether magnetic resonance (MR) imaging findings of bilateral TMJ disc displacement without reduction (DDwoR) and/or osteoarthrosis (OA) are determinants of horizontal mandibular and vertical ramus deficiencies. PATIENTS AND METHODS: Bilateral MR imaging of the TMJ was performed in 68 consecutive patients with TMJ arthralgia to identify those with bilateral TMJ DDwoR and/or OA. Linear and angular cephalometric measurements were performed to apply selected criteria of horizontal mandibular (gonion-menton [Go-Me] <73 mm and articulare-pogonion [Ar-Pog] <105 mm) and vertical ramus (articulare-gonion [Ar-Go] <45 mm) deficiencies. Logistic regression analysis was used to estimate the association between selected MR imaging and cephalometric parameters.
RESULTS: In the age- and gender-adjusted analysis, significant increases in the risk of horizontal mandibular (odds ratio, 7.5:1; P = .031) and vertical ramus (odds ratio, 9.5:1; P = .003) deficiencies occurred with bilateral DDwoR and OA.
CONCLUSION: In patients with TMJ arthralgia, the MR imaging parameters of DDwoR and OA seem important determinants of horizontal mandibular and vertical ramus deficiencies.
Copyright © 2011 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21419545     DOI: 10.1016/j.joms.2010.12.026

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  6 in total

1.  Bayesian belief network analysis applied to determine the progression of temporomandibular disorders using MRI.

Authors:  H Iwasaki
Journal:  Dentomaxillofac Radiol       Date:  2014-12-04       Impact factor: 2.419

2.  Posteroanterior cephalometric changes in subjects with temporomandibular joint disorders.

Authors:  O C Almăşan; M Băciuţ; M Hedeşiu; S Bran; H Almăşan; G Băciuţ
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

3.  Computed tomographic findings in dogs and cats with temporomandibular joint disorders: 58 cases (2006-2011).

Authors:  Boaz Arzi; Derek D Cissell; Frank J M Verstraete; Philip H Kass; Grayson D DuRaine; Kyriacos A Athanasiou
Journal:  J Am Vet Med Assoc       Date:  2013-01-01       Impact factor: 1.936

4.  Determining the optimal magnetic resonance imaging sequences for the efficient diagnosis of temporomandibular joint disorders.

Authors:  Minjun Dong; Qi Sun; Qiang Yu; Xiaofeng Tao; Chi Yang; Weiliu Qiu
Journal:  Quant Imaging Med Surg       Date:  2021-04

5.  Transcriptomes in peripheral blood of young females with temporomandibular joint osteoarthritis.

Authors:  Jeong-Hyun Kang
Journal:  Sci Rep       Date:  2021-04-23       Impact factor: 4.379

6.  A logistic analysis prediction model of TMJ condylar erosion in patients with TMJ arthralgia.

Authors:  Rüdiger Emshoff; Annika Bertram; Linus Hupp; Ansgar Rudisch
Journal:  BMC Oral Health       Date:  2021-07-24       Impact factor: 2.757

  6 in total

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