Literature DB >> 16545717

Comparison of altered signal intensity, position, and morphology of the TMJ disc in MR images corrected for variations in surface coil sensitivity.

Kaan Orhan1, Hideyoshi Nishiyama, Sasai Tadashi, Shumei Murakami, Souhei Furukawa.   

Abstract

OBJECTIVE: The purpose of this study is to evaluate the corrections of signal intensity of the temporomandibular joint (TMJ) disc caused by variations in sensitivity of the magnetic resonance imaging (MRI) surface coil, to compare the modified signal intensities of the posterior and anterior bands, and then to evaluate the relationship of the signal intensity difference to altered disc position and morphology in a group of TMJ patients. STUDY
DESIGN: MRI was performed on 96 joints. All patients underwent imaging in axial, coronal, and sagittal planes using fast-spin echo sequences (FSE). The images were taken in the closed, partially opened, and maximum opened mouth positions in 2 sequences. Classifications were made according to the position and morphology of the disc. TMJs were divided into normal, anterior disc displacement with reduction (ADDwR), anterior disc displacement without reduction (ADDwoR), and partial anterior disc displacement with reduction (PDDwR). Disc morphology was subdivided as biconcave, lengthened, biconvex, thick posterior band, and others (defined as folded and rounded). The correction of the inhomogeneous sensitivity of the surface coil was done with the original software. The signal intensities (SI) of the posterior band and anterior band of TMJ discs were measured. The correlations among the groups of TMJs and disc morphologies and SI were statistically analyzed by using Bonferroni/Dunn multicomparison method test.
RESULTS: Of the total number of joints studied with the help of MRI, 37 were normal, 12 exhibited ADDwR, 32 ADDwoR, and 9 PDDwR. The corrected MR images indicated that SI of the posterior bands were higher than the anterior band of the discs. It can also be concluded that the SI of the posterior bands increased significantly in the following order: normal, PDDwR, ADDwR, and ADDwoR, while there is no statistical difference in the SI of the anterior band of the discs. In ADDwR and ADDwoR, thick posterior band is the most common shape. In normal TMJ, the biconcave shape is identified as the most frequently encountered shape.
CONCLUSIONS: It was demonstrated that the SI of the posterior bands increase with the progress of internal derangement, and was found to be higher than that of the anterior band of the discs. It appears that disc degeneration starts from the posterior band of the disc.

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Year:  2005        PMID: 16545717     DOI: 10.1016/j.tripleo.2005.04.004

Source DB:  PubMed          Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod        ISSN: 1079-2104


  14 in total

1.  Correlation between temporomandibular joint morphology and disc displacement by MRI.

Authors:  J F G de Farias; S L S Melo; P M Bento; L S A F Oliveira; P S F Campos; D P de Melo
Journal:  Dentomaxillofac Radiol       Date:  2015-03-25       Impact factor: 2.419

2.  Effects of wear time differences of removable functional appliances in class II patients: prospective MRI study of TMJ and masticatory muscle changes.

Authors:  Emre Cesur; Orhan Özdiler; Ayşegül Köklü; Kaan Orhan; Umut Seki
Journal:  Oral Radiol       Date:  2019-03-12       Impact factor: 1.852

3.  A quantitative experimental phantom study on MRI image uniformity.

Authors:  Doaa Felemban; Rinus G Verdonschot; Yuri Iwamoto; Yuka Uchiyama; Naoya Kakimoto; Sven Kreiborg; Shumei Murakami
Journal:  Dentomaxillofac Radiol       Date:  2018-05-23       Impact factor: 2.419

4.  The evaluation of lateral pterygoid signal intensity changes related to temporomandibular joint anterior disc displacement.

Authors:  Damla Soydan Çabuk; Meryem Etöz; İbrahim Ethem Akgün; Serap Doğan; Eren Öztürk; Aykağan Coşgunarslan
Journal:  Oral Radiol       Date:  2020-02-12       Impact factor: 1.852

5.  High-resolution morphologic and ultrashort time-to-echo quantitative magnetic resonance imaging of the temporomandibular joint.

Authors:  Won C Bae; Monica Tafur; Eric Y Chang; Jiang Du; Reni Biswas; Kyu-Sung Kwack; Robert Healey; Sheronda Statum; Christine B Chung
Journal:  Skeletal Radiol       Date:  2015-12-19       Impact factor: 2.199

6.  Acute soft tissue injury to the temporomandibular joint and posttraumatic assessment after mandibular condyle fractures: a longitudinal prospective MRI study.

Authors:  Özlem Akkemik; Harald Kugel; Roman Fischbach
Journal:  Dentomaxillofac Radiol       Date:  2021-11-23       Impact factor: 2.419

7.  Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging.

Authors:  Yeon-Hee Lee; Yung-Kyun Noh; Jong Hyun Won; Seunghyeon Kim; Q-Schick Auh
Journal:  Sci Rep       Date:  2022-07-05       Impact factor: 4.996

8.  Disk and joint morphology variations on coronal and sagittal MRI in temporomandibular joint disorders.

Authors:  Oana C Almăşan; Mihaela Hedeşiu; Grigore Băciuţ; Daniel C Leucuţa; Mihaela Băciuţ
Journal:  Clin Oral Investig       Date:  2012-08-07       Impact factor: 3.573

9.  Evaluation of temporomandibular joint, masticatory muscle, and brain cortex activity in patients treated by removable functional appliances: a prospective fMRI study.

Authors:  Orhan Ozdiler; Kaan Orhan; Emre Cesur; Ayşegül Köklü; Oktay Algın
Journal:  Dentomaxillofac Radiol       Date:  2019-07-24       Impact factor: 2.419

10.  Development and Validation of a Magnetic Resonance Imaging-Based Machine Learning Model for TMJ Pathologies.

Authors:  Kaan Orhan; Lukas Driesen; Sohaib Shujaat; Reinhilde Jacobs; Xiangfei Chai
Journal:  Biomed Res Int       Date:  2021-07-05       Impact factor: 3.411

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