Quantification of Scan Analysis Errors in GE Lunar DXA Visceral Adiposity in Adults

Wing, David; Godino, Job G.; Vo, Anh Truc; Moran, Ryan; Nichols, Jeanne F.

doi:10.1016/j.jocd.2020.06.004

Cited by 2 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The iDXA CoreScan software calculates the android regions of interest based on two cut-off lines placed at the top of the iliac crests and below the base of the skull 5 . The automation of these cut-off lines is often errored which can lead to significant differences in body composition outputs 20 . These cut-off lines were manually adjusted post-scan to improve the accuracy and precision of the body composition outputs.…”

Section: Methodsmentioning

confidence: 99%

DXA reference values and anthropometric screening for visceral obesity in Western Australian adults

Staynor

Smith

Donnelly

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Limited reference values exist for visceral adipose tissue (VAT) mass measured by DXA. The objectives of this study were to provide reference values for DXA-derived VAT mass and compare the association with anthropometry measures. The study cohort comprised 677 men and 738 women aged 18–65 years from Western Australia. Whole-body scans using a GE Lunar iDXA and anthropometry measures were collected. Reference percentile data were stratified by sex and age. Correlation analysis compared DXA-derived and anthropometry variables. Specificity, sensitivity, and Youden’s Index were used to evaluate the ability of anthropometric thresholds to predict individuals with high VAT. In men, waist circumference (WC), waist-hip ratio, and waist-height ratio (WHtR) had ‘high’ correlations with VAT mass. In women, only WHtR was ‘highly’ correlated with VAT mass. Overweight thresholds for WC, along with a body mass index of 25.0 kg/m2 in women, had the highest combination of sensitivity and specificity when using anthropometry measures to identify individuals with high VAT mass. We provide the first reference data sets for DXA-derived VAT mass among Western Australians. Excessive VAT mass may be identified in men using the overweight WC threshold and in women using both the overweight BMI and WC thresholds.

show abstract

Section: Methodsmentioning

confidence: 99%