MRI Based Validation of Abdominal Adipose Tissue Measurements From DXA in Postmenopausal Women

Introduction: 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(2)) from historical DXA scans against MRI. Methodology: 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. Results: 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(2). Correlations between MRI and DXA measured VAT and SAT were 0.90 and 0.92, respectively (p <= 0.001). Bland-Altman plots showed that DXA-VAT slightly overestimated VAT on the QDR4500 (-3.31 cm(2)); this bias was greater in the smaller subset measured on the older DXA model (QDR2000; -30.71 cm(2)). The overestimation of DXA-SAT was large (-85.16 to -118.66 cm(2)), but differences were relatively uniform for the QDR4500. Conclusions: New software applied to historic Hologic DXA scans provide estimates of VAT and SAT that are well-correlated with criterion MRI among postmenopausal women.

Automated summary

This study validates the feasibility of using new software on historical DXA scans to estimate VAT and SAT, which are well-correlated with criterion MRI among postmenopausal women.