Evidence map›Paper›PMID 40874990›Full record

ArticleSkeletal radiology2026

Evaluating diagnostic consistency: intra and interobserver agreement in rotator cuff tear classification using ultrasound videos.

Shrimanti Ghosh, Jessica Knight, Stephanie Wichuk, Natasha Akhlaq, Daniel Durham, Cassandra Gallant, Steel McDonald, Michael Xie, Vedur Verma, Vincent Man and 2 more

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Shrimanti GhoshDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada. shrimant@ualberta.ca.ORCID http://orcid.org/0000-0003-0659-0147
Jessica KnightDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Stephanie WichukDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Natasha AkhlaqDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Daniel DurhamDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Cassandra GallantDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Steel McDonaldDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Michael XieDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Vedur VermaDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Vincent ManDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Abhilash R HareendranathanDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
Jacob L JaremkoDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUltrasound (US) is a more accessible alternative to MRI for rotator cuff tear (RCT) assessment. Rapid US can identify RCTs, but accurate US interpretation remains challenging, even for experts. We performed a retrospective cross-sectional study to evaluate intraobserver and interobserver agreement and accuracy in RCT detection with US between expert and non-expert readers. MATERIALS AND

methodsLong-axis cine sweeps of supraspinatus tendon from 138 patients with suspected RCTs were analyzed and compared to corresponding MRI results (reference standard). Three non-experts (graduate student, medical student, radiology resident) and three experts (fellowship-trained musculoskeletal (MSK) radiologist, MSK sonographer, and radiology fellow) independently classified tendons as normal, full-thickness tear, or partial-thickness tear by predefined criteria.

resultsFor all-tear detection (ATD), expert accuracy (%) ranged from 68.8 (95% CI, 61.1-76.5) to 84.8% (78.8-90.9), and non-expert accuracy from 63.0 (54.9-71.1) to 79.7% (73.0-86.4). For full-thickness tear detection (FTTD), expert accuracy ranged from 75.4 (68.2-82.6) to 87.0% (81.4-92.6), and non-expert accuracy from 73.9 (66.6-81.2) to 79.0% (72.2-85.8). Interobserver agreement for ATD was moderate among experts (Light's kappa (

conclusionUltrasound readers of all experience levels accurately identified over 80% of RCTs when compared with MRI. Expert readers achieved higher accuracy, sensitivity, and reliability than non-experts. Ultrasound reliably detects RCTs and remains the preferred imaging modality for its accessibility and patient comfort, underscoring the need for standardization, training, and technological improvements.

Indexed as

Rotator CuffRotator Cuff InjuriesVideo RecordingAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityInterobserver agreementIntraobserver agreementRotator cuff tearShoulderUltrasound

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Registered trials

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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.