ArticleJournal of clinical and diagnostic research : JCDR2017
MR Imaging of Rotator Cuff Tears: Correlation with Arthroscopy.
Article in Journal of clinical and diagnostic research : JCDR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Evidence-Based Physical Examination for the Diagnosis of Subscapularis Tears: A Systematic Review.Sports healthPooled it
- Asymptomatic Rotator Cuff Tendinopathy in Elderly Diabetics: Is Routine Magnetic Resonance Imaging Evaluation of the Shoulder Warranted?Malaysian orthopaedic journal · 2026Article
- Quantitative MRI Evaluation of Coracohumeral Ligament and Inferior Glenohumeral Capsule Thickening in Adhesive Capsulitis: Correlation with Range of Motion and Edema Patterns.The Eurasian journal of medicine · 2026Article
- Pathophysiology of subacromial pain syndrome: contributions of rotator cuff-related factors and pain sensitization.Pain reports · 2025Article
- Detection and classification of supraspinatus pathologies on shoulder magnetic resonance images using a code-free deep learning application.Asia-Pacific journal of sports medicine, arthroscopy, rehabilitation and technology · 2025Article
- Article
- Grading system for Hill-Sachs lesion and its association with Bankart lesion: a cross-sectional study.BMC musculoskeletal disorders · 2025Article
- Correlation of Preoperative MRI and Shoulder-Specific Tests With Intraoperative Findings in Rotator Cuff Tears.Cureus · 2025Article
- Public Perceptions of Rotator Cuff Tears.Clinics and practice · 2024Article
- Rotator Cuff Tears: Correlation Between Clinical Examination, Magnetic Resonance Imaging and Arthroscopy.Cureus · 2024Article
- Article
- Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI.Diagnostics (Basel, Switzerland) · 2023Article
- Diagnostic Needle Arthroscopy of the Shoulder: A Validation Study.Orthopaedic journal of sports medicine · 2023Article
- Arthroscopic Treatment of Shoulder Stiffness With Rotator Cuff Repair Yields Similar Outcomes to Isolated Rotator Cuff Repair.Arthroscopy, sports medicine, and rehabilitation · 2023Article
- Application of deep learning-based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time.European radiology · 2023Article
- 3D cell-printing of gradient multi-tissue interfaces for rotator cuff regeneration.Bioactive materials · 2023Article
- Comparing shoulder maneuvers to magnetic resonance imaging and arthroscopic findings in patients with supraspinatus tears.World journal of orthopedics · 2022Article
- Assessing the accuracy of arthroscopic and open measurements of the size of rotator cuff tears: A simulation-based study.World journal of orthopedics · 2021Article
- Is Shoulder Pain and Disability Index a Prognostic Factor for Neuropathic Shoulder Pain?Cureus · 2021Article
- 7-T clinical MRI of the shoulder in patients with suspected lesions of the rotator cuff.European radiology experimental · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRotator cuff tears are quite common and can cause significant disability. Magnetic Resonance Imaging (MRI) has now emerged as the modality of choice in the preoperative evaluation of patients with rotator cuff injuries, in view of its improved inherent soft tissue contrast and resolution.
aimTo evaluate the diagnostic accuracy of routine MRI in the detection and characterisation of rotator cuff tears, by correlating the findings with arthroscopy. MATERIALS AND
methodsThis prospective study was carried out between July 2014 and August 2016 at the AJ Institute of Medical Sciences, Mangalore, Karnataka, India. A total of 82 patients were diagnosed with rotator cuff injury on MRI during this period, out of which 45 patients who underwent further evaluation with arthroscopy were included in this study. The data collected was analysed for significant correlation between MRI diagnosis and arthroscopic findings using kappa statistics. The sensitivity, specificity, predictive value and accuracy of MRI for the diagnosis of full and partial thickness tears were calculated using arthroscopic findings as the reference standard.
resultsThere were 27 males and 18 females in this study. The youngest patient was 22 years and the oldest was 74 years. Majority of rotator cuff tears (78%) were seen in patients above the age of 40 years. MRI showed a sensitivity of 89.6%, specificity of 100%, positive predictive value of 100% and negative predictive value of 83.3% for the diagnosis of full thickness rotator cuff tears. For partial thickness tears, MRI showed a sensitivity of 100%, specificity of 86.6%, positive predictive value of 78.9% and negative predictive value of 100%. The accuracy was 93.1% for full thickness tears and 91.1% for partial thickness tears. The p-value was less than 0.01 for both full and partial thickness tears. There was good agreement between the MRI and arthroscopic findings, with kappa value of 0.85 for full thickness tears and 0.81 for partial thickness tears.
conclusionMRI revealed high sensitivity and specificity for the diagnosis of rotator cuff tears with accuracy of 93.1% for full thickness tears and 91.1% for partial thickness tears. MRI provides useful information about the size and extent of the tear, involvement of adjacent structures, presence of muscle atrophy and tendon retraction, all of which have important therapeutic and prognostic implications.
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