Evidence map›Paper›PMID 41786921›Full record

ArticleCommunications medicine2026

Comparing DXA and MRI body composition measurements in cross-sectional and longitudinal cohorts.

Nicolas Basty, Marjola Thanaj, Brandon Whitcher, Jimmy D Bell, E Louise Thomas

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Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Nicolas BastyResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.ORCID http://orcid.org/0000-0002-1330-0913
Marjola ThanajResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.ORCID http://orcid.org/0000-0002-1789-7112
Brandon WhitcherResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.ORCID http://orcid.org/0000-0002-6452-2399
Jimmy D BellResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.ORCID http://orcid.org/0000-0003-3804-1281
E Louise ThomasResearch Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK. l.thomas3@westminster.ac.uk.ORCID http://orcid.org/0000-0003-4235-4694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetailed body composition assessment, through measurement of adipose tissue and muscle distribution, is essential for understanding population health trends, guiding targeted interventions, evaluating lifestyle effects, and monitoring age-related changes such as sarcopenia. Dual X-ray absorptiometry (DXA) provides estimates of fat and lean mass from low-dose X-ray images, while magnetic resonance imaging (MRI) offers three-dimensional measurements of adipose tissue and muscle distribution. Both methods have their strengths and weaknesses, but comparison between them at scale is missing.

methodsWe assessed the accuracy of DXA compared to MRI for evaluating body composition. Using data from 32,961 participants in the UK Biobank, including 1,928 re-scanned participants after about two and a half years, we examined cross-sectional and longitudinal agreements in DXA and MRI measurements within android and gynoid regions. MRI scans were acquired using a Siemens 1.5 T MRI scanner, and DXA scans on a GE iDXA.

resultsOur results show that DXA is able to capture fat measurements, including visceral adipose tissue and fat mass, but overestimates lean mass compared to MRI, particularly in android regions for men (4.10 kg measured by DXA vs. 1.74 kg by MRI) and women (2.92 vs. 1.10 kg). Longitudinal MRI data reveal a 4-5% muscle and lean mass decrease, undetected by DXA, which shows lean mass increases in women at the follow-up visit.

conclusionsAlthough DXA is practical for population-level fat assessments, it may not be as precise for lean mass assessments, especially in longitudinal studies. If economically and practically feasible, MRI remains the preferred method for detailed and precise longitudinal body composition analysis.

Identifiers

PMID41786921
PMCPMC13086945

What Socratic holds

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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.