Literature DB >> 24720606

Comparing proton density and turbo spin echo T2 weighted static sequences with dynamic half-Fourier single-shot TSE pulse sequence at 3.0 T in diagnosis of temporomandibular joint disorders: a prospective study.

M Cassetta1, F Barchetti, N Pranno, M Marini.   

Abstract

OBJECTIVES: The aim of this prospective study was to compare dynamic and static sequences in the evaluation of temporomandibular joint disorders using a 3.0 -T imaging unit.
METHODS: 194 patients were evaluated by static (double echo proton density weighted/turbo spin echo T2 weighted sequences) and dynamic (half-Fourier single-shot turbo spin echo sequences)imaging. Two radiologists evaluated in consensus the quality of images, the disc position and morphological alterations. The Kendall rank correlation coefficient (τ-b) was used to compare the qualitative rating between static and dynamic sequences. Cohen's kappa coefficient (k) was used to assess the agreement of disc position and morphological alterations between both sequences. The intraclass correlation coefficient was used to calculate the intraobserver variability. The significance was set at p ≤ 0.05.
RESULTS: The correlation between both sequences in the qualitative evaluation was τ-b = 0.632. The agreement between both techniques in the evaluation of disc position was k = 0.856. The agreement between both techniques in assessing the morphological alterations was k = 0.487. In the static sequences, the intraclass correlation coefficient was 0.915 in the qualitative evaluation, 0.873 in the evaluation of disc position and 0.934 in the assessment of morphological alterations. In the dynamic sequences, the intraclass correlation coefficient was 0.785 in the qualitative evaluation, 0.935 in the evaluation of disc position and 0.826 in the assessment of morphological alterations.
CONCLUSIONS: Static imaging remains the gold standard in the evaluation of the temporomandibular joint. Dynamic imaging is a valuable tool that can provide additional information about topographic changes in the disc-condyle relationship.

Entities:  

Keywords:  image interpretation, computer-assisted; magnetic resonance imaging; temporomandibular joint; temporomandibular joint disorders

Mesh:

Substances:

Year:  2014        PMID: 24720606      PMCID: PMC4064624          DOI: 10.1259/dmfr.20130387

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  19 in total

1.  Flexure deformation of the temporomandibular joint disk in pseudodynamic magnetic resonance images.

Authors:  H Yoshida; H Hirohata; K Onizawa; M Niitsu; Y Itai
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2.  Dynamic magnetic resonance imaging technique for the study of the temporomandibular joint.

Authors:  Y J Chen; L M Gallo; D Meier; S Palla
Journal:  J Orofac Pain       Date:  2000

3.  Visualization of the articular disk of the temporomandibular joint in near-real-time MRI: feasibility study.

Authors:  Nasreddin D Abolmaali; Jan Schmitt; Wolfram Schwarz; Douglas E Toll; Stefan Hinterwimmer; Thomas J Vogl
Journal:  Eur Radiol       Date:  2004-07-29       Impact factor: 5.315

4.  Dynamic MR imaging of the temporomandibular joint using a balanced steady-state free precession sequence at 3T.

Authors:  P Yen; R W Katzberg; M H Buonocore; J Sonico
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-27       Impact factor: 3.825

5.  Functional magnetic resonance imaging of temporomandibular joint disorders.

Authors:  D Eberhard; H P Bantleon; W Steger
Journal:  Eur J Orthod       Date:  2000-10       Impact factor: 3.075

6.  Dynamic display of the temporomandibular joint meniscus by using "fast-scan" MR imaging.

Authors:  K R Burnett; C L Davis; J Read
Journal:  AJR Am J Roentgenol       Date:  1987-11       Impact factor: 3.959

7.  Temporomandibular joint: diagnostic accuracy with sagittal and coronal MR imaging.

Authors:  M M Tasaki; P L Westesson
Journal:  Radiology       Date:  1993-03       Impact factor: 11.105

8.  Diagnostic potential of pseudo-dynamic MRI (CINE mode) for evaluation of internal derangement of the TMJ.

Authors:  M Behr; P Held; A Leibrock; C Fellner; G Handel
Journal:  Eur J Radiol       Date:  1996-11       Impact factor: 3.528

9.  Dynamic magnetic resonance imaging of the temporomandibular joint using FLASH sequences.

Authors:  W F Conway; C W Hayes; R L Campbell
Journal:  J Oral Maxillofac Surg       Date:  1988-11       Impact factor: 1.895

10.  Temporomandibular joint: relationship between MR evidence of effusion and the presence of pain and disk displacement.

Authors:  P L Westesson; S L Brooks
Journal:  AJR Am J Roentgenol       Date:  1992-09       Impact factor: 3.959

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  4 in total

1.  The effects of a common stainless steel orthodontic bracket on the diagnostic quality of cranial and cervical 3T- MR images: a prospective, case-control study.

Authors:  Michele Cassetta; Nicola Pranno; Alessandro Stasolla; Nicola Orsogna; Davide Fierro; Costanza Cavallini; Vito Cantisani
Journal:  Dentomaxillofac Radiol       Date:  2017-06-21       Impact factor: 2.419

2.  3.0 Tesla MRI in the early evaluation of inferior alveolar nerve neurological complications after mandibular third molar extraction: a prospective study.

Authors:  M Cassetta; N Pranno; F Barchetti; V Sorrentino; L Lo Mele
Journal:  Dentomaxillofac Radiol       Date:  2014-06-20       Impact factor: 2.419

3.  Real-time assessment of temporomandibular joint using HASTE sequences: feasibility and comparison with standard static sequences.

Authors:  Marco Ravanelli; Luca Bottoni; Irene Buffa; Elena Tononcelli; Andrea Borghesi; Roberto Maroldi; Davide Farina
Journal:  Dentomaxillofac Radiol       Date:  2020-12-03       Impact factor: 2.419

4.  Comparison of T2 Weighted, Fat-Suppressed T2 Weighted, and Three-Dimensional (3D) Fast Imaging Employing Steady-State Acquisition (FIESTA-C) Sequences in the Temporomandibular Joint (TMJ) Evaluation.

Authors:  Secil Aksoy; Kaan Orhan
Journal:  Biomed Res Int       Date:  2021-12-22       Impact factor: 3.411

  4 in total

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