Literature DB >> 26321483

Rotator cuff tear shape characterization: a comparison of two-dimensional imaging and three-dimensional magnetic resonance reconstructions.

Soterios Gyftopoulos1, Luis S Beltran2, Kevin Gibbs2, Laith Jazrawi3, Phillip Berman2, James Babb2, Robert Meislin3.   

Abstract

BACKGROUND: The purpose of this study was to see if 3-dimensional (3D) magnetic resonance imaging (MRI) could improve our understanding of rotator cuff tendon tear shapes. We believed that 3D MRI would be more accurate than two-dimensional (2D) MRI for classifying tear shapes.
METHODS: We performed a retrospective review of MRI studies of patients with arthroscopically proven full-thickness rotator cuff tears. Two orthopedic surgeons reviewed the information for each case, including scope images, and characterized the shape of the cuff tear into crescent, longitudinal, U- or L-shaped longitudinal, and massive type. Two musculoskeletal radiologists reviewed the corresponding MRI studies independently and blind to the arthroscopic findings and characterized the shape on the basis of the tear's retraction and size using 2D MRI. The 3D reconstructions of each cuff tear were reviewed by each radiologist to characterize the shape. Statistical analysis included 95% confidence intervals and intraclass correlation coefficients.
RESULTS: The study reviewed 34 patients. The accuracy for differentiating between crescent-shaped, longitudinal, and massive tears using measurements on 2D MRI was 70.6% for reader 1 and 67.6% for reader 2. The accuracy for tear shape characterization into crescent and longitudinal U- or L-shaped using 3D MRI was 97.1% for reader 1 and 82.4% for reader 2. When further characterizing the longitudinal tears as massive or not using 3D MRI, both readers had an accuracy of 76.9% (10 of 13). The overall accuracy of 3D MRI was 82.4% (56 of 68), significantly different (P = .021) from 2D MRI accuracy (64.7%).
CONCLUSION: Our study has demonstrated that 3D MR reconstructions of the rotator cuff improve the accuracy of characterizing rotator cuff tear shapes compared with current 2D MRI-based techniques.
Copyright © 2016 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D MRI; rotator cuff tear; rotator cuff tear shape

Mesh:

Year:  2015        PMID: 26321483     DOI: 10.1016/j.jse.2015.03.028

Source DB:  PubMed          Journal:  J Shoulder Elbow Surg        ISSN: 1058-2746            Impact factor:   3.019


  2 in total

1.  Fosbury flop tear of the rotator cuff: diagnostic assessment with magnetic resonance arthrography.

Authors:  Frank C Kolo; Adrien J Schwitzguébel; Abed Kourhani; Patrick J Denard; Caecilia Charbonnier; Alexandre Lädermann
Journal:  Br J Radiol       Date:  2017-07-14       Impact factor: 3.039

2.  Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

Authors:  Hyojune Kim; Keewon Shin; Hoyeon Kim; Eui-Sup Lee; Seok Won Chung; Kyoung Hwan Koh; Namkug Kim
Journal:  PLoS One       Date:  2022-10-10       Impact factor: 3.752

  2 in total

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