Predicting the clinically significant subscapularis tendon tear: malposition and tear of the long head of the biceps tendon on shoulder magnetic resonance imaging

Bo Ra Kim, Jaehyung Lee, Joong Mo Ahn, Yusuhn Kang, Eugene Lee, Joon Woo Lee, Heung Sik Kang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Background: The diagnostic accuracy of magnetic resonance imaging (MRI) is low for detecting a subscapularis tendon tear. Purpose: To identify MRI findings that may predict the presence of a clinically significant subscapularis tendon tear requiring surgical repair. Material and Methods: We reviewed shoulder MR images of patients who had undergone arthroscopic rotator cuff repair at our institution between June 2018 and May 2019. Patients were divided into two groups: the study group (n = 51), with an intermediate- to high-grade partial thickness tear of the subscapularis tendon suspected on preoperative MRI and intermediate or higher grade of the tendon tear proven on arthroscopy; and the control group (n = 18), with an intermediate- to high-grade partial thickness tear of the subscapularis tendon suspected on preoperative MRI but no tear or low-grade partial thickness tear of the tendon shown on arthroscopy. Preoperative MR images were retrospectively evaluated by two readers for the size of the subscapularis tendon tear, bone reactions at the lesser tuberosity, and long head of the biceps tendon (LHBT) pathology. Results: The subscapularis tendon tear measured by reader 2 was larger in the study group than in the control group. The prevalence of a tear (P = 0.006 for reader 1; P = 0.011 for reader 2) and malposition (P < 0.001 for both readers) of the LHBT were significantly greater in the study group. Conclusion: A tear and malposition of the LHBT on MR images may predict the presence of a clinically significant subscapularis tendon tear.

Original languageEnglish (US)
Pages (from-to)1648-1656
Number of pages9
JournalActa Radiologica
Volume62
Issue number12
DOIs
StatePublished - Dec 2021

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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