Titre
Standardization of body composition parameters between GE Lunar iDXA and Hologic Horizon A and their clinical impact.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Vendrami, C.
Auteure/Auteur
Gatineau, G.
Auteure/Auteur
Gonzalez Rodriguez, E.
Auteure/Auteur
Lamy, O.
Auteure/Auteur
Hans, D.
Auteure/Auteur
Shevroja, E.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
2473-4039
Statut éditorial
Publié
Date de publication
2024-09
Volume
8
Numéro
9
Première page
ziae088
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Résumé
Body composition (BC) measured by DXA differs between devices. We aimed to compare regional and total BC measurements assessed by the Hologic Horizon A and the GE Lunar iDXA devices; to determine device-specific calibration equations for each BC parameter; and to assess the impact of this standardization procedure on the assessment of sarcopenia, lipedema, obesity, and cardiovascular risk with DXA. A total of 926 postmenopausal women (aged 72.9 ± 6.9 yr, height 160.3 ± 6.6 cm, weight 66.1 ± 12.7 kg) underwent BC assessment on each device within 1 h, following the ISCD guidelines. The included sample was split into 80% train and 20% test datasets stratified by age, height, and weight. Inter-device differences in BC parameters were assessed with Bland-Altman analysis, Pearson or Spearman correlation coefficients, and t-tests or Wilcoxon tests. The equations were developed in the train dataset using backward stepwise multiple linear regressions and were evaluated in the test dataset with the R-squared and mean absolute error. We compared the abovementioned BC-derived health conditions before and after standardization in the test set with respect to relative risk, accuracy, Kappa score, and McNemar tests. Total and regional body masses were similar (p>.05) between devices. BMC was greater for all regions in the Lunar device (p<.05), while fat and lean masses differed among regions. Regression equations showed high performance metrics in both datasets. The BC assessment from Hologic classified 2.13 times more sarcopenic cases (McNemar: p<.001), 1.39 times more lipedema (p<.001), 0.40 times less high cardiovascular risk (p<.001), and similarly classified obesity (p>.05), compared to Lunar. After standardization, the differences disappeared (p>.05), and the classification metrics improved. This study discusses how hardware and software differences impact BC assessments. The provided standardization equations address these issues and improve the agreement between devices. Future studies and disease definitions should consider these differences.
PID Serval
serval:BIB_59A90FA2E128
PMID
Open Access
Oui
Date de création
2024-08-09T13:15:55.678Z
Date de création dans IRIS
2025-05-20T14:08:17Z
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Nom
39108357_BIB_59A90FA2E128.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by/4.0
Taille
1.25 MB
Format
Adobe PDF
PID Serval
serval:BIB_59A90FA2E128.P001
URN
urn:nbn:ch:serval-BIB_59A90FA2E1284
Somme de contrôle
(MD5):ae02d25c34efc281c9dd2aba50f811b2