Accuracy of dual-energy x-ray absorptiometry for assessing longitudinal change in visceral adipose tissue in patients with coronary artery disease
Autor: | David J. Holland, Jeff S. Coombes, Jenna L. Taylor, Shelley E. Keating |
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Rok vydání: | 2021 |
Předmět: |
Nutrition and Dietetics
medicine.diagnostic_test business.industry Endocrinology Diabetes and Metabolism Limits of agreement nutritional and metabolic diseases Medicine (miscellaneous) Adipose tissue 030209 endocrinology & metabolism Magnetic resonance imaging medicine.disease Confidence interval Coronary artery disease 03 medical and health sciences 0302 clinical medicine parasitic diseases Linear regression medicine In patient 030212 general & internal medicine Nuclear medicine business tissues human activities Dual-energy X-ray absorptiometry |
Zdroj: | International Journal of Obesity. 45:1740-1750 |
ISSN: | 1476-5497 0307-0565 |
Popis: | BACKGROUND/OBJECTIVE: Visceral adipose tissue (VAT) is a key target of interventions for obesity-related diseases. Dual-energy x-ray absorptiometry (DXA) can estimate VAT, however its accuracy to measure longitudinal change in VAT compared to gold-standard techniques such as magnetic resonance imaging (MRI), has not been studied in adults. This study aimed to determine the accuracy of DXA compared with gold-standard MRI for cross-sectional VAT assessment, and for detecting longitudinal change in VAT. METHODS: Adults with coronary artery disease (64 ± 8 years; BMI 27.8 ± 3.5 kg/m2; 88% male) were assessed for VAT by DXA and MRI at baseline (n = 34) and during implementation of an exercise intervention study at 3- and 12-months (n = 29). To match the 5.2 cm DXA measurement site for Hologic software (InnerCoreTM), VAT cross-sectional area (CSA) was measured by MRI using a single slice at L4/L5 junction, and VAT volume measured by 10 × 5 mm slices over the L4/L5 junction. MRI slices were quantified for VAT using semi-automated specialised software. Relationships between DXA and MRI for cross-sectional VAT and longitudinal change in VAT were determined by linear regression. Accuracy between the methods was assessed by Bland-Altman analysis, with data presented as mean difference (95% confidence interval), lower and upper limits of agreement (LoA). RESULTS: Strong correlations were found between DXA-VAT and MRI-VAT at baseline (r = 0.90; p |
Databáze: | OpenAIRE |
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