Evidence map›Paper›PMID 41998350›Full record

ArticleEuropean journal of clinical nutrition2026

Examining intra- and inter-tester reliability of post-scan dual-energy X-ray absorptiometry regional body composition analysis in athletes.

Tiago R Silva, Beatriz Gonçalves, Rui Poínhos, Vitor Hugo Teixeira, Analiza M Silva

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Article in European journal of clinical nutrition, 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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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

5 authors.

Tiago R SilvaFaculty of Nutrition and Food Sciences, University of Porto, Rua do Campo Alegre, 823, 4150-180, Porto, Portugal. tiagosilva@fcna.up.pt.ORCID http://orcid.org/0009-0009-0769-5486
Beatriz GonçalvesFaculty of Nutrition and Food Sciences, University of Porto, Rua do Campo Alegre, 823, 4150-180, Porto, Portugal.
Rui PoínhosFaculty of Nutrition and Food Sciences, University of Porto, Rua do Campo Alegre, 823, 4150-180, Porto, Portugal.
Vitor Hugo TeixeiraFaculty of Nutrition and Food Sciences, University of Porto, Rua do Campo Alegre, 823, 4150-180, Porto, Portugal.ORCID http://orcid.org/0000-0002-9286-4716
Analiza M SilvaExercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal.ORCID http://orcid.org/0000-0002-8984-8600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe purpose of this investigation was (i) to assess the intra- and inter-tester reliability of delineating regions of interest (ROIs) in Dual-energy X-ray Absorptiometry (DXA) for measuring regional fat mass (FM), lean soft tissue (LST), and bone mineral content (BMC) and (ii) to investigate the prevalence of inconsistencies between automatically defined ROIs and manufacturer guidelines. A secondary aim was to assess whether discrepancies in the delineation of ROIs by different testers could bias regional body composition changes over time.

methodsDXA measurements were performed with a total body scan in 86 athletes (64.0% females) from 12 sports. Two independent testers conducted post-scan analysis following the manufacturer's guidelines. Intra- and inter-tester reliability was evaluated using the intra-class correlation coefficient (ICC), mean differences, paired samples t-tests and Bland-Altman plots.

resultsIntra- and inter-tester reliability was nearly perfect (ICC: 0.998-1.000) across all regions and components (FM, LST, and BMC). Mean differences were consistently <1% for all regions and components, except for left arm FM (1.4%; SD = 4.6%) in inter-tester reliability. Inconsistencies between automatically defined ROIs and manufacturer guidelines were frequent, with chest line corrections (which separate the arm from the trunk) required in 91.9% of scans. Inter-tester ICC for regional changes (n = 52) ranged from 0.668 to 0.981, with wider limits of agreement than cross-sectional estimates.

conclusionDXA post-scan regional analysis can be performed with very high reliability and low measurement error, but manual review is essential. When monitoring changes over time, baseline and follow-up scans should be analyzed by the same evaluator.

Indexed as

Absorptiometry, PhotonAthletesBody CompositionAdipose TissueAdolescentAdultBone DensityFemaleHumansMaleObserver VariationReproducibility of ResultsYoung Adult

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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.