Technical performance of L3 skeletal muscle area (SMA) measurement on CT for L3 skeletal muscle index (L3SMI) assessment.

Hubert Beaumont, Emilie Khayat, Alexandre Thinnes, Antoine Iannessi

Abstract readMulticenter Study

In one paragraph

Article in Scientific reports, 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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0citing papers in PubMed

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hubert BeaumontMedian Technologies, Les Deux Arcs, 1800 Route Des Crêtes, 06560, Valbonne, France. hubertbeaumont@hotmail.com.

Emilie KhayatMedian Technologies, Les Deux Arcs, 1800 Route Des Crêtes, 06560, Valbonne, France.

Alexandre ThinnesMedian Technologies, Les Deux Arcs, 1800 Route Des Crêtes, 06560, Valbonne, France.

Antoine IannessiMedian Technologies, Les Deux Arcs, 1800 Route Des Crêtes, 06560, Valbonne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims at documenting the technical performances of the Skeletal Muscle Index at the L3 vertebra (L3SMI). In this retrospective multicenter study, we used TotalSegmentator freeware to segment muscles in axial CT scans at the L3 vertebra level and measure Skeletal Muscle Area (SMA). A dataset of 100 cancer patients (lung, colorectal, adrenal, pancreatic) was analyzed for accuracy, reproducibility, and linearity, using expert-segmented ground truth. A second dataset of 205 prone/supine colorectal cancer patients assessed repeatability in a test-retest setting. Outliers were reviewed to define exclusion criteria for L3SMI assessment. We computed within Coefficient of Variation (wCV), Bland-Altman analysis for variability and repeatability, and measured absolute/relative bias with confidence intervals from bootstrapped data. Bablok regression assessed measurement linearity. Intra and inter readers variability were, respectively, 5% and 7.6%. Relative bias was - 8.5% (95%CI: - 9.8, - 7.3), absolute bias was - 11.3cm

Indexed as

Lumbar VertebraeMuscle, SkeletalTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesCT imagesImage segmentationSarcopeniaSkeletal musclesThird lumbar vertebra (L3)

Identifiers

PMID42115227

DOI10.1038/s41598-026-51010-2

PMCPMC13350929

What Socratic holds

Textmetadata

LicenceCC BY-NC-ND

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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 Socratic graph.