Evidence map›Paper›PMID 42383101›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2026

The Diagnostic Challenges of the Digitation Sign for Subscapularis Tears: Impact of Observer Expertise.

Wei Hsuan Wang, Sheng Liu, Alexandre Lädermann, Poyu Chen, Cheng-Pang Yang, Chen-Heng Hsu, Joe Chih-Hao Chiu

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Article in Arthroscopy, sports medicine, and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wei Hsuan WangLinkou Chang Gung Memorial Hospital Taoyuan Taiwan.ORCID https://orcid.org/0009-0006-4812-1380
Sheng LiuLinkou Chang Gung Memorial Hospital Taoyuan Taiwan.ORCID https://orcid.org/0009-0008-7517-0780
Alexandre LädermannDivision of Orthopedics and Trauma Surgery Hôpital de la Tour Meyrin Switzerland.ORCID https://orcid.org/0000-0002-2797-8936
Poyu ChenDepartment of Orthopedic Surgery Linkou Chang Gung Memorial Hospital Taoyuan Taiwan.ORCID https://orcid.org/0000-0003-1342-813X
Cheng-Pang YangDepartment of Orthopedic Surgery Linkou Chang Gung Memorial Hospital Taoyuan Taiwan.ORCID https://orcid.org/0009-0007-8547-4561
Chen-Heng HsuDepartment of Orthopedic Surgery Linkou Chang Gung Memorial Hospital Taoyuan Taiwan.ORCID https://orcid.org/0000-0003-4999-1426
Joe Chih-Hao ChiuDepartment of Orthopedic Surgery Linkou Chang Gung Memorial Hospital Taoyuan Taiwan.ORCID https://orcid.org/0000-0001-9415-5115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate preoperative systematic magnetic resonance imaging (MRI) evaluation of subscapularis (SSC) lesions using the digitation sign by medical practitioners with various levels of experience. Methods: A retrospective analysis was conducted on patients who underwent arthroscopy-assisted rotator cuff repair between April 2023 and September 2024. The inclusion criteria required preoperative 1.5 Tesla MRI scans with standardized protocols within 2 months of surgery. Patients were divided into SSC tears and intact groups based on intraoperative arthroscopic findings. Preoperative MRI images were independently evaluated by medical students, residents, orthopedic fellows, and attending doctors, blinded to arthroscopic findings. The sensitivity and specificity of SSC tear detection were analyzed for each group. Arthroscopic findings were assessed in real time by the single surgeon and documented in the operative reports. Results: Out of 152 patients, 73 (48.0%) had arthroscopically confirmed SSC tears. Sensitivities for detecting SSC tears via the digitation sign were 57.5%, 72.6%, 80.8%, and 82.1%, respectively. There was a statistically significant difference in medical students (57.5%) and residents (72.6%) ( Conclusions: The digitation sign is a valuable tool for SSC tear detection but has limitations. These findings highlight the need for enhanced observer training and a cautious approach to interpreting the digitation sign in isolation. Combining multiple imaging findings and contextual clinical information is essential for reducing diagnostic errors and improving patient outcomes. Level of Evidence: Level III, retrospective case-control study.

Identifiers

PMID42383101
PMCPMC13307197

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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.