Evidence map›Paper›PMID 39467947›Full record

ArticleSkeletal radiology2025

Imaging modalities for atraumatic shoulder hypermobility: a scoping review.

Dion Diep, Mohamed R Gemae, Jordan Farag, Matthew Rong Jie Tay, Rakesh Mohankumar, Nimish Mittal

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dion DiepDivision of Physical Medicine & Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Mohamed R GemaeSchool of Medicine, Queen's University, Kingston, ON, Canada.
Jordan FaragDivision of Physical Medicine & Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Matthew Rong Jie TayDepartment of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore.
Rakesh MohankumarDivision of Musculoskeletal Radiology, Toronto Joint Department of Medical Imaging, University Health Network, Mount Sinai, and Women's College Hospital, Toronto, ON, Canada.
Nimish MittalDivision of Physical Medicine & Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Nimish.Mittal@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObjective measures from imaging studies have the potential to assist in timely diagnosis of atraumatic shoulder hypermobility to better guide management. The aim of this scoping review is to examine imaging modalities and techniques used to characterize atraumatic shoulder hypermobility.

methodsMEDLINE, EMBASE, SPORTDiscus, Cochrane Library, and Web of Science were searched up to May 2024 for any primary study investigating imaging findings seen in atraumatic shoulder hypermobility. Patients with unilateral instability were excluded given its frequent association with traumatic origin.

resultsEighteen observational studies met inclusion criteria. Results were divided into outcomes relating to capsular redundancy, glenohumeral anatomy, and muscle activation. Five studies using magnetic resonance arthrography (MRA) demonstrated statistically significant increases in capsular cross-sectional area (CSA), while a significant superior capsular elongation was reported by two studies in patients with multidirectional instability (MDI). Labrocapsular distance, glenocapsular ratio, and the presence of a combined sail and triangle sign on MRA were highly sensitive and specific parameters for identifying MDI. There were inconsistent findings for alterations of glenohumeral anatomy. Ultrasound assessments of acromiohumeral distance (AHD) were significantly increased in patients with MDI, but not in shoulders with hypermobility alone. Similarly, muscle activity measured by electromyography or glenohumeral translations differed significantly in patients with MDI, but not in those with hypermobility alone.

conclusionRadiographic markers of capsular redundancy (e.g., CSA, labrocapsular distance, glenocapsular ratio), AHD, and muscular activity are useful in the diagnosis of MDI. However, there are no definitive imaging markers for diagnosing atraumatic shoulder hypermobility without MDI.

Indexed as

Joint InstabilityShoulder JointArthrographyHumansMagnetic Resonance ImagingUltrasonographyAtraumatic shoulder hypermobilityImagingMagnetic resonance arthrographyMultidirectional instabilityShoulder joint hypermobilityUltrasonography

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.