MRI Based Validation of Abdominal Adipose Tissue Measurements From DXA in Postmenopausal Women.
Dual-energy X-ray absorptiometry
body composition
magnetic resonance imaging
subcutaneous fat
visceral fat
Journal
Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
ISSN: 1094-6950
Titre abrégé: J Clin Densitom
Pays: United States
ID NLM: 9808212
Informations de publication
Date de publication:
Historique:
received:
21
12
2020
revised:
20
07
2021
accepted:
21
07
2021
pubmed:
19
8
2021
medline:
26
4
2022
entrez:
18
8
2021
Statut:
ppublish
Résumé
Visceral adipose tissue (VAT) is a hypothesized driver of chronic disease. Dual-energy X-ray absorptiometry (DXA) potentially offers a lower cost and more available alternative compared to gold-standard magnetic resonance imaging (MRI) for quantification of abdominal fat sub-compartments, VAT and subcutaneous adipose tissue (SAT). We sought to validate VAT and SAT area (cm Participants (n = 69) from the Women's Health Initiative (WHI) completed a 3 T MRI scan and a whole body DXA scan (Hologic QDR2000 or QDR4500; 2004-2005). A subset of 43 participants were scanned on both DXA devices. DXA-derived VAT and SAT at the 4th lumbar vertebrae (5 cm wide) were analyzed using APEX software (v4.0, Hologic, Inc., Marlborough, MA). MRI VAT and SAT areas for the corresponding DXA region of interest were quantified using sliceOmatic software (v5.0, Tomovision, Magog, Canada). Pearson correlations between MRI and DXA-derived VAT and SAT were computed, and a Bland-Altman analysis was performed. Participants were primarily non-Hispanic white (86%) with a mean age of 70.51 ± 5.79 years and a mean BMI of 27.33 ± 5.40 kg/m New software applied to historic Hologic DXA scans provide estimates of VAT and SAT that are well-correlated with criterion MRI among postmenopausal women.
Identifiants
pubmed: 34404568
pii: S1094-6950(21)00064-0
doi: 10.1016/j.jocd.2021.07.010
pmc: PMC8799761
mid: NIHMS1734815
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
189-197Subventions
Organisme : NHLBI NIH HHS
ID : 75N92021D00002
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600002C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600018C
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG055018
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600003C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600004C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600001C
Pays : United States
Informations de copyright
Copyright © 2021 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.
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