SynthesisBMC musculoskeletal disorders2025
Magnetic resonance imaging features for diagnosing adhesive capsulitis of the shoulder: a systematic review and meta-analysis.
Synthesis in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Adhesive capsulitis embolization: a narrative review.Skeletal radiology · 2026Review
- Ultrasound in Adhesive Capsulitis: A Narrative Exploration from Static Imaging to Contrast-Enhanced, Dynamic and Sonoelastographic Insights.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundVarious magnetic resonance imaging (MRI) characteristics are frequently employed to aid diagnose adhesive capsulitis of the shoulder (ACS) and offer valuable therapeutic insights. To identify and summarize the diagnostic accuracy of these features, a systematic review and meta-analysis were performed.
methodsFour databases, including PubMed, EMBASE, Web of Science, and Cochrane Library, were searched. Overlapping descriptions used to represent the same imaging in different studies are grouped into one MRI feature. Pooled diagnostic accuracy, including sensitivity and specificity, was calculated using a bivariate random-effects model.
resultsThe screening identified 21 studies involving 928 ACS patients and 873 non-ACS patients considered eligible for inclusion in this meta-analysis. A total of 106 overlapping descriptions were classified into 7 features, including axillary capsular thickening, axillary capsular hyperintensity, axillary capsular enhancement, fat obliteration of the rotator interval (RI), RI enhancement, RI joint capsule thickening, and coracohumeral ligament (CHL) thickening. All seven features were considered informative for the diagnosis of ACS. Axillary capsular enhancement had the highest pooled sensitivity (95%, 95% CI [91%- 98%]), the highest diagnostic odds ratios (107, 95% CI [32, 357]), and the highest area under the curve(0.96 [0.94-0.97]). All features except fat obliteration of the RI and CHL thickening showed a pooled sensitivity of > 80%. Three of seven (axillary capsular thickening, axillary capsular hyperintensity, and axillary capsular enhancement) showed a pooled specificity of > 80%.
conclusionSeven informative MRI features were identified in this study, with axillary capsular enhancement and RI joint capsule thickening showing the highest diagnostic accuracy. Clinicians can refer to these MRI features to increase confidence in diagnosing ACS and rule out other confused diagnoses.
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