Literature DB >> 23352548

Supraspinatus atrophy as a predictor of rotator cuff tear size: an MRI study utilizing the tangent sign.

Gabriel J Rulewicz1, Stacy Beaty, Richard J Hawkins, Michael J Kissenberth.   

Abstract

HYPOTHESIS: We hypothesize that the degree of supraspinatus atrophy, as assessed with the tangent sign will significantly correlate with increasing rotator cuff tear size.
METHODS: A retrospective review was performed assessing presence of muscle atrophy using the tangent sign, fatty atrophy based on Goutallier classification, and size of rotator cuff tear in 34 patients. A correlation analysis was performed.
RESULTS: All agreement measures among both evaluators were statistically significant (P < .05). Agreement among the 2 physicians for the tangent sign was consider almost perfect k = 87.2 (95%CI = 51.7, 87.2). Weighted kappa agreement using the Goutallier sign was 75.1 (95%CI = 58.7, 91.4), suggesting substantial agreement. The relationship between the positive tangent sign and coded tear grade was very good with a correlation of R = .84 and R = .87, respectively, showing a strong correlation between the presence of a tangent sign and a larger rotator cuff tear. A strong relationship was also found when comparing the tangent sign to a Goutallier's classification of 2 or greater with a correlation of R = .92 and R = .94 for the 2 physicians. The lowest correlation was found between the Goutallier sign and tear grade from both physicians. All of these findings were statistically significant (P < .05).
CONCLUSION: The tangent sign shows good interobserver reliability and is easily performed to measure rotator cuff atrophy and a positive tangent sign shows an excellent correlation with the size of the rotator cuff tear and may be predictive of the ability of the cuff to be primarily repaired.
Copyright © 2013 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 23352548     DOI: 10.1016/j.jse.2012.10.048

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


  8 in total

Review 1.  Classifications in Brief: Goutallier Classification of Fatty Infiltration of the Rotator Cuff Musculature.

Authors:  Jeremy S Somerson; Jason E Hsu; Jacob D Gorbaty; Albert O Gee
Journal:  Clin Orthop Relat Res       Date:  2015-11-19       Impact factor: 4.176

2.  Progression of Fatty Muscle Degeneration in Atraumatic Rotator Cuff Tears.

Authors:  Jonah Hebert-Davies; Sharlene A Teefey; Karen Steger-May; Aaron M Chamberlain; William Middleton; Kathryn Robinson; Ken Yamaguchi; Jay D Keener
Journal:  J Bone Joint Surg Am       Date:  2017-05-17       Impact factor: 5.284

3.  Fatty infiltration of the shoulder: diagnosis and reversibility.

Authors:  Leonardo Osti; Matteo Buda; Angelo Del Buono
Journal:  Muscles Ligaments Tendons J       Date:  2014-02-24

Review 4.  [Magnetic resonance imaging and computed tomography : What is important in orthopedics and traumatology].

Authors:  F Mauch; B Drews
Journal:  Unfallchirurg       Date:  2016-10       Impact factor: 1.000

5.  Rotator cuff muscle degeneration and tear severity related to myogenic, adipogenic, and atrophy genes in human muscle.

Authors:  Shivam A Shah; Ioannis Kormpakis; Leonardo Cavinatto; Megan L Killian; Stavros Thomopoulos; Leesa M Galatz
Journal:  J Orthop Res       Date:  2017-06-02       Impact factor: 3.494

6.  Prognosis Driven Rehabilitation After Rotator Cuff Repair Surgery.

Authors:  Dirk Kokmeyer; Eric Dube; Peter J Millett
Journal:  Open Orthop J       Date:  2016-07-21

7.  Effect of Muscle Quality on Operative and Nonoperative Treatment of Rotator Cuff Tears.

Authors:  Micah Naimark; Thai Trinh; Christopher Robbins; Bridger Rodoni; James Carpenter; Asheesh Bedi; Bruce Miller
Journal:  Orthop J Sports Med       Date:  2019-08-05

8.  Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty.

Authors:  Paul B McLendon; Kaitlyn N Christmas; Peter Simon; Otho R Plummer; Audrey Hunt; Adil S Ahmed; Mark A Mighell; Mark A Frankle
Journal:  JB JS Open Access       Date:  2021-03-26
  8 in total

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