Evidence map›Paper›PMID 41583802›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2025

Long Head Biceps Tendon Angle Shows the Highest Sensitivity and Long Head Biceps Tendon-Groove Distance the Highest Specificity for the Diagnosis of Biceps Pulley Lesions Using Conventional Magnetic Resonance Imaging.

Javier Ardebol, Roger Erosa-Villarreal, Edwin Valencia-Ramón, Alejandro López-Villers, Guillermo Franco-Del Río, Patrick J Denard, Frank Martetschläger, Juan Cosme-Labarthe, Alexandre Lädermann, Juan Pablo Muñoz and 1 more

Abstract read
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Article in Arthroscopy, sports medicine, and rehabilitation, 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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2 · The registry

The trial behind it

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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

11 authors.

Javier ArdebolOregon Shoulder Institute, Medford, Oregon, U.S.A.
Roger Erosa-VillarrealInstituto de Hombro IDH, Hospital Angeles Querétaro, Querétaro, México.
Edwin Valencia-RamónInstituto de Hombro IDH, Hospital Angeles Querétaro, Querétaro, México.
Alejandro López-VillersInstituto de Hombro IDH, Hospital Angeles Querétaro, Querétaro, México.
Guillermo Franco-Del RíoUniversidad Anáhuac Querétaro, México.
Patrick J DenardOregon Shoulder Institute, Medford, Oregon, U.S.A.
Frank MartetschlägerDeutsches Schulterzentrum, ATOS Klinik, Munich, Germany.
Juan Cosme-LabartheDepartment of Radiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Alexandre LädermannDivision of Orthopaedics and Trauma Surgery, Department of Surgery, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Juan Pablo MuñozDepartamento de Radiología, Sistema Musculoesquelético, Clínica MEDS, Santiago, Chile.
Alberto Guevara-AlvarezInstituto de Hombro IDH, Hospital Angeles Querétaro, Querétaro, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine the diagnostic performance and inter-rater agreement for magnetic resonance imaging (MRI) signs of long head biceps tendon (LHBT) instability and overall, using conventional MRI for the diagnosis of biceps pulley lesions. Methods: In this retrospective analysis, conventional MRIs were reviewed by 5 assessors for the presence or absence of biceps pulley lesions and 6 specific MRI signs. Diagnostic performance of pulley lesion and sign detection using MRI was tested using arthroscopy as the reference standard. Interobserver agreement was measured with Kappa statistics and diagnostic performance with sensitivity, specificity, negative and positive predictive values overall and for radiologists and surgeons. Results: A total of 60 MRIs, 30 with biceps pully lesions and 30 without, were included. Overall, diagnostic performance metrics for MRI included a sensitivity of 81%, specificity of 79%, positive predictive value of 80%, and negative predictive value of 80%. Interobserver reliability analysis revealed moderate agreement overall, with a global kappa value of 0.59. LHBT angle showed the highest sensitivity (84%) and LHBT-groove distance showed the greatest specificity (98%). Both radiologists and surgeons reported similar diagnostic accuracy through MRI. Conclusions: Overall, conventional MRI had an acceptable diagnostic performance, with sensitivity, specificity, and predictive values of approximately 80%. Among the evaluated signs, the LHBT angle had the highest sensitivity, whereas the LHBT-groove distance showed the greatest specificity. Interobserver reliability was moderate overall, though some observer pairs achieved substantial agreement. However, there was variability across diagnostic signs. Level of Evidence: Level III, retrospective comparative study.

Identifiers

PMID41583802
PMCPMC12827232

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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.