Literature DB >> 16205148

Evaluation of rotator cuff tears with magnetic resonance arthrography.

Hiromitsu Toyoda1, Yoichi Ito, Hiroyasu Tomo, Yoshihiro Nakao, Tatsuya Koike, Kunio Takaoka.   

Abstract

The size and morphologic features of rotator cuff tears may influence treatment selection and affect final outcomes. Magnetic resonance arthrography allows observation of these features and other intraarticular structures. To assess the utility of magnetic resonance imaging in assessing size and morphologic features, we retrospectively reviewed observations on 41 shoulders in 37 consecutive surgically treated patients (mean age, 63.2 years) who had magnetic resonance imaging followed by magnetic resonance arthrography. The maximum rotator cuff defect size in the anteroposterior direction defined transverse size, and the maximum rotator cuff defect size in the mediolateral direction defined longitudinal size. Sensitivities for detecting full-thickness rotator cuff tears by magnetic resonance imaging and magnetic resonance arthrography were 90.2% and 100%, respectively. Maximum longitudinal and transverse dimensions of the tear as shown by magnetic resonance arthrography correlated better with intraoperative measurements (r2 = 0.85 transversely, 0.92 longitudinally) than magnetic resonance imaging measurements (r2 = 0.47 transversely, 0.26 longitudinally). The reproducibility of the two methods is similar. Magnetic resonance arthrography also allowed morphologic classification of the torn tendon as blunt end, tapering end, indistinct end, horizontal tear, and global tear. There was good agreement in classifying torn edges; the imaging findings agreed with findings at surgery. Magnetic resonance arthrography was more accurate in evaluating rotator cuff tear size and morphologic features than conventional magnetic resonance imaging.

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Year:  2005        PMID: 16205148     DOI: 10.1097/01.blo.0000176142.01262.35

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  7 in total

1.  Functional recovery period after arthroscopic rotator cuff repair: is it predictable before surgery?

Authors:  Tomoya Manaka; Yoichi Ito; Isshin Matsumoto; Kunio Takaoka; Hiroaki Nakamura
Journal:  Clin Orthop Relat Res       Date:  2010-11-24       Impact factor: 4.176

Review 2.  Detecting Rotator Cuff Tears: A Network Meta-analysis of 144 Diagnostic Studies.

Authors:  Fanxiao Liu; Jinlei Dong; Wun-Jer Shen; Qinglin Kang; Dongsheng Zhou; Fei Xiong
Journal:  Orthop J Sports Med       Date:  2020-02-05

3.  Interdisciplinary inter-observer agreement and accuracy of MR imaging of the shoulder with arthroscopic correlation.

Authors:  J J Halma; R Eshuis; Y M J Krebbers; T Weits; A de Gast
Journal:  Arch Orthop Trauma Surg       Date:  2011-08-13       Impact factor: 3.067

4.  Unsupervised Machine Learning-Based Analysis of Clinical Features, Bone Mineral Density Features and Medical Care Costs of Rotator Cuff Tears.

Authors:  Tong-Fu Wang; De-Sheng Chen; Jia-Wang Zhu; Bo Zhu; Zeng-Liang Wang; Jian-Gang Cao; Cai-Hong Feng; Jun-Wei Zhao
Journal:  Risk Manag Healthc Policy       Date:  2021-09-22

5.  Protocol for determining the diagnostic validity of physical examination maneuvers for shoulder pathology.

Authors:  Lyndsay Somerville; Dianne Bryant; Kevin Willits; Andrew Johnson
Journal:  BMC Musculoskelet Disord       Date:  2013-02-08       Impact factor: 2.362

Review 6.  Magnetic resonance imaging, magnetic resonance arthrography and ultrasonography for assessing rotator cuff tears in people with shoulder pain for whom surgery is being considered.

Authors:  Mário Lenza; Rachelle Buchbinder; Yemisi Takwoingi; Renea V Johnston; Nigel Ca Hanchard; Flávio Faloppa
Journal:  Cochrane Database Syst Rev       Date:  2013-09-24

Review 7.  Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders.

Authors:  Judith E Gold; David M Hallman; Fredrik Hellström; Martin Björklund; Albert G Crenshaw; Svend Erik Mathiassen; Mary F Barbe; Sayed Ali
Journal:  BMC Musculoskelet Disord       Date:  2017-09-12       Impact factor: 2.362

  7 in total

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