Evidence map›Paper›PMID 42591553›Full record

ArticleFrontiers in digital health2026

MRI-based extensor carpi ulnaris tendon cross-sectional area as a quantitative biomarker for extensor carpi ulnaris tenosynovitis.

Jung Min Lee, Joohyun Lee, Keum Nae Kang, Burn Young Heo, Da Huin Shin, Kwan Young Hong, Sunyoung Moon, Young Uk Kim

Abstract read
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Article in Frontiers in digital health, 2026. 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

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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

8 authors.

Jung Min Lee *Department of Anesthesia and Pain Medicine, CHA Ilsan Medical Center, CHA University, Goyang City, Republic of Korea.
Joohyun Lee *Department of Anesthesia and Pain Medicine, CHA Ilsan Medical Center, CHA University, Goyang City, Republic of Korea.
Keum Nae KangDepartment of Anesthesiology and Pain Medicine, National Police Hospital, Seoul, Republic of Korea.
Burn Young HeoDepartment of Anesthesiology and Pain Medicine, Catholic Kwandong University, College of Medicine, International ST. Mary`s Hospital, Incheon, Republic of Korea.
Da Huin ShinDepartment of Anesthesiology and Pain Medicine, Catholic Kwandong University, College of Medicine, International ST. Mary`s Hospital, Incheon, Republic of Korea.
Kwan Young HongDepartment of Anesthesiology and Pain Medicine, Catholic Kwandong University, College of Medicine, International ST. Mary`s Hospital, Incheon, Republic of Korea.
Sunyoung MoonDepartment of Anesthesiology and Pain Medicine, Catholic Kwandong University, College of Medicine, International ST. Mary`s Hospital, Incheon, Republic of Korea.
Young Uk KimDepartment of Anesthesiology and Pain Medicine, Catholic Kwandong University, College of Medicine, International ST. Mary`s Hospital, Incheon, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Extensor carpi ulnaris tenosynovitis (ECUT) is a common cause of ulnar-sided wrist pain and is often associated with tendon hypertrophy. Although extensor carpi ulnaris tendon thickness (ECUTT) has been used to assess tendon enlargement, a one-dimensional measurement may not fully reflect morphological changes of the tendon. We therefore investigated the diagnostic value of extensor carpi ulnaris tendon cross-sectional area (ECUTCSA) measured on magnetic resonance imaging (MRI) as a quantitative imaging biomarker for ECUT. Methods: In this retrospective case-control study, MRI examinations from 26 patients with clinically diagnosed ECUT and 26 control subjects were analyzed. Axial T1-weighted wrist MR images were reviewed by two musculoskeletal radiologists who were blinded to clinical information. ECUTCSA and ECUTT were measured at the level demonstrating maximal tendon hypertrophy. Group comparisons were performed using unpaired t-tests, and diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. Interobserver agreement was assessed using intraclass correlation coefficients (ICCs). Results: The mean ECUTCSA was significantly greater in the ECUT group than in the control group (10.86 ± 2.32 mm Conclusion: ECUTCSA is a reproducible quantitative MRI parameter associated with ECU tenosynovitis and demonstrated good diagnostic performance in this study. These findings support the potential role of ECUTCSA as an imaging biomarker for quantitative assessment of tendon hypertrophy. Further multicenter studies with larger cohorts are warranted to validate its clinical utility.

Indexed as

automated image analysiscross-sectional area measurementextensor carpi ulnarismusculoskeletal imagingtendon hypertrophy

Identifiers

PMID42591553
PMCPMC13462227

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