Evidence map›Paper›PMID 40922494›Full record

ArticleHand (New York, N.Y.)2026

Comparative Analysis of Methods for Obtaining Median Nerve Cross-Sectional Area Using Ultrasound.

Chukwudi Onyeukwu, Rachit Saggar, Raymond M Toncich, Jenna Dvorksy, John R Fowler

Abstract readComparative Study
In one paragraph

Article in Hand (New York, N.Y.), 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

5 authors.

Chukwudi OnyeukwuUniversity of Pittsburgh Medical Center, PA, USA.
Rachit SaggarUniversity of Pittsburgh Medical Center, PA, USA.ORCID 0000-0002-9123-7999
Raymond M ToncichEdward Via College of Osteopathic Medicine, Blacksburg, VA, USA.
Jenna DvorksyUniversity of Pittsburgh Medical Center, PA, USA.ORCID 0009-0002-3436-6644
John R FowlerUniversity of Pittsburgh Medical Center, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltrasound measurement of median nerve cross-sectional area (CSA) is widely used in carpal tunnel syndrome (CTS) diagnosis. This study compared 3 common measurement methods: A-B, Ellipse, and Trace to evaluate their reliability and accuracy.

methodsTwo observers (experienced hand surgeon and orthopedic surgery resident) measured median nerve CSA in 10 patients with suspected CTS. Each method was applied in standard and zoom-enhanced views: A-B method (measuring major/minor axes), Ellipse method (fitting ellipse to nerve boundaries), and Trace method (manually tracing nerve boundary). Measurements were compared to ImageJ software analysis as reference standard. Reliability and accuracy were assessed using intraclass correlation coefficients (ICCs), Bland-Altman analysis, and standard detectable difference (SDD).

resultsAll methods showed high reliability (ICC: 0.940-0.994) but consistently underestimated CSA compared to ImageJ (12.15 ± 5.13 mm

conclusionAll 3 ultrasound methods demonstrated high reliability in measuring median nerve CSA, with Trace method showing modest advantages in accuracy and precision. Zoom enhanced views improved interrater reliability but reduced measurement accuracy. Based on our findings, we recommend nonzoom Trace method for consistent longitudinal measurements, though maintaining proficiency in one selected method is more important. Further validation with larger studies is warranted. LEVEL OF EVIDENCE: Level 2.

Indexed as

Carpal Tunnel SyndromeMedian NerveAdultFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsUltrasonographycarpal tunnel syndromecross-sectional areadiagnostic accuracymedian nerveultrasound measurement

Identifiers

PMID40922494
PMCPMC12420643

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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.