scholarly journals Large/Massive Tears, Fatty Infiltration, and Rotator Cuff Muscle Atrophy: A Review Article With Management Options Specific to These Types of Cuff Deficiencies

2016 ◽  
Vol In Press (InPress) ◽  
Author(s):  
Gandhi Nathan Solayar ◽  
Bradley Seeto ◽  
Darren Chen ◽  
Samuel Mac Dessi
Author(s):  
Michael A. Moverman ◽  
Richard N. Puzzitiello ◽  
Mariano E. Menendez ◽  
Nicholas R. Pagani ◽  
Paul-Anthony J. Hart ◽  
...  

2008 ◽  
Vol 190 (1) ◽  
pp. 27-31 ◽  
Author(s):  
Eoin C. Kavanagh ◽  
George Koulouris ◽  
Laurence Parker ◽  
William B. Morrison ◽  
Diane Bergin ◽  
...  

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ram Chidambaram ◽  
Reet Mukhopadhyay

Rotator cuff pathology is one of the most common conditions affecting the shoulder joint. Several classification systems have been used to describe rotator cuff tears in orthopedic literature. However, no comprehensive classification inclusive of all types and characteristics currently exists. Rotator cuff tears are classified based on various parameters. These include: 1. Tear depth 2. Tear Size/Extent 3. Tear Retraction 4. Tendon Quality 5. Tear Progression 6. Arthroscopic Classification. This review article aims to establish an algorithm based on the various existing classification systems so as to arrive at the best surgical or non-surgical solution as well as prognosticate the patient regarding the outcome. Special consideration needs to be made for massive tears which are irreparable. Keywords: Rotator cuff tears; Rotator cuff tear classification; Massive irreparable rotator cuff tears; Partial rotator cuff tears; Subscapularis tears; Geometric Classification; Arthroscopic Classification; Rotator cuff retraction; Rotator cuff tendon quality; Prognosis for Rotator Cuff tears.


2014 ◽  
Vol 23 (5) ◽  
pp. 604
Author(s):  
Noritaka Hamano ◽  
Atsushi Yamamoto ◽  
Tsutomu Kobayashi ◽  
Hitoshi Shitara ◽  
Tsuyoshi Ichinose ◽  
...  

2018 ◽  
Vol 46 (9) ◽  
pp. 2161-2169 ◽  
Author(s):  
Ana P. Valencia ◽  
Jim K. Lai ◽  
Shama R. Iyer ◽  
Katherine L. Mistretta ◽  
Espen E. Spangenburg ◽  
...  

Background: Massive rotator cuff tears (RCTs) begin as primary tendon injuries and cause a myriad of changes in the muscle, including atrophy, fatty infiltration (FI), and fibrosis. However, it is unclear which changes are most closely associated with muscle function. Purpose: To determine if FI of the supraspinatus muscle after acute RCT relates to short-term changes in muscle function. Study Design: Controlled laboratory study. Methods: Unilateral RCTs were induced in female rabbits via tenotomy of the supraspinatus and infraspinatus. Maximal isometric force and rate of fatigue were measured in the supraspinatus in vivo at 6 and 12 weeks after tenotomy. Computed tomography scanning was performed, followed by histologic analysis of myofiber size, FI, and fibrosis. Results: Tenotomy resulted in supraspinatus weakness, reduced myofiber size, FI, and fibrosis, but no differences were evident between 6 and 12 weeks after tenotomy except for increased collagen content at 12 weeks. FI was a predictor of supraspinatus weakness and was strongly correlated to force, even after accounting for muscle cross-sectional area. While muscle atrophy accounted for the loss in force in tenotomized muscles with minimal FI, it did not account for the greater loss in force in tenotomized muscles with the most FI. Collagen content was not strongly correlated with maximal isometric force, even when normalized to muscle size. Conclusion: After RCT, muscle atrophy results in the loss of contractile force from the supraspinatus, but exacerbated weakness is observed with increased FI. Therefore, the level of FI can help predict contractile function of torn rotator cuff muscles. Clinical Relevance: Markers to predict contractile function of RCTs will help determine the appropriate treatment to improve functional recovery after RCTs.


2012 ◽  
Vol 31 (3) ◽  
pp. 421-426 ◽  
Author(s):  
Sanjum P. Samagh ◽  
Erik J. Kramer ◽  
Gerd Melkus ◽  
Dominique Laron ◽  
Blake M. Bodendorfer ◽  
...  

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