Rotator Cuff Delamination Is Associated With Increased Tendon Retraction and Higher Fatty Muscle Infiltration: A Comparative Study on Arthroscopy and Magnetic Resonance Imaging.


Journal

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
ISSN: 1526-3231
Titre abrégé: Arthroscopy
Pays: United States
ID NLM: 8506498

Informations de publication

Date de publication:
07 2022
Historique:
received: 07 08 2021
revised: 11 12 2021
accepted: 16 12 2021
pubmed: 31 12 2021
medline: 14 7 2022
entrez: 30 12 2021
Statut: ppublish

Résumé

To investigate (1) tendon delamination according to different rotator cuff tear patterns as well as (2) the association of tendon retraction and fatty muscle infiltration with delamination of the rotator cuff. Furthermore, we aimed to establish the accuracy of magnetic resonance imaging for the detection of rotator cuff delamination. Magnetic resonance imaging scans of patients who underwent arthroscopic rotator cuff repair from 2013 to 2015 were retrospectively compared to intraoperative findings. Prevalences of tendon delamination, tendon retraction, and fatty muscle infiltration were categorized according to different rotator cuff tear patterns. For comparability of the amount of tendon retraction of delaminated and non-delaminated rotator cuff tears, we introduced the global retraction index, a description individually assessing tendon retraction in magnetic resonance imaging scans of all visible layers. Of 349 shoulders, tendon delamination was observed in 231 patients (66.2%). Of these, rotator cuff delamination was most commonly seen in posterosuperior rotator cuff tears (84.6%). Delaminated rotator cuff tears presented with a significantly higher global retraction index (P < .001) as well as higher fatty muscle infiltration of the supraspinatus (P = .001) and infraspinatus (P = .001). Magnetic resonance imaging had only moderate accuracy (57.3%) to detect rotator cuff delamination, with a positive predictive value of 100% (95% confidence interval [CI] 95.6% to 100.0%) and a negative predictive value of 44.2% (95% CI 38.1% to 50.4%). Tendon delamination was most commonly observed in posterosuperior rotator cuff tears. Delaminated rotator cuff tears showed a significantly greater tendon retraction as well as a higher amount of fatty muscle infiltration of the supraspinatus and infraspinatus. Magnetic resonance imaging has only moderate accuracy for detection of rotator cuff delamination. III, retrospective cohort study.

Identifiants

pubmed: 34968654
pii: S0749-8063(21)01119-1
doi: 10.1016/j.arthro.2021.12.028
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2131-2141.e1

Informations de copyright

Copyright © 2021 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Auteurs

Jakob E Schanda (JE)

Department for Trauma Surgery, AUVA Trauma Center Vienna-Meidling, Vienna, Austria; Ludwig Boltzmann Institute Traumatology in the AUVA Trauma Research Center, Austrian Cluster for Tissue Regeneration, Vienna, Austria.

Martin Eigenschink (M)

II Orthopedic Department, Sacred Heart Hospital of Jesus, Vienna, Austria; Austrian Research Group for Regenerative and Orthopedic Medicine (AURROM), Vienna, Austria.

Brenda Laky (B)

Austrian Research Group for Regenerative and Orthopedic Medicine (AURROM), Vienna, Austria; Centre of Clinical Research, University Clinic of Dentistry, Medical University of Vienna, Vienna, Austria.

Andreas Schwinghammer (A)

Department of Orthopedic Surgery, University Clinic Sankt Pölten, Sankt Pölten, Austria.

Ulrich Lanz (U)

Sportorthopädie Zentrum, Vienna, Austria.

Leo Pauzenberger (L)

II Orthopedic Department, Sacred Heart Hospital of Jesus, Vienna, Austria; Healthpi Medical Center, Vienna, Austria.

Philipp R Heuberer (PR)

Austrian Research Group for Regenerative and Orthopedic Medicine (AURROM), Vienna, Austria; Healthpi Medical Center, Vienna, Austria. Electronic address: philipp@heuberer.at.

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Classifications MeSH