Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT

Autor: Benjamin Chan, Yan Yu, Fan Huang, Varut Vardhanabhuti
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Endocrinology, Vol 14 (2023)
Druh dokumentu: article
ISSN: 1664-2392
DOI: 10.3389/fendo.2023.1211696
Popis: BackgroundIn terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of various modalities, with a lack of up-to-date comparison with three-dimensional whole volume assessment.AimsUsing CT or MRI three-dimensional whole volume VAT as a reference, we evaluated the correlation of various commonly used modalities and techniques namely body impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA) as well as single slice CT to establish how these methods compare.MethodsWe designed the study in two parts. First, we performed an intra-individual comparison of the 4558 participants from the UK Biobank cohorts with matching data of MRI abdominal body composition, DXA with VAT estimation, and BIA. Second, we evaluated 174 CT scans from the publicly available dataset to assess the correlation of the commonly used single-slice technique compared to three-dimensional VAT volume.ResultsAcross the UK Biobank cohort, the DXA-derived VAT measurement correlated better (R2 0.94, p
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