Dual-energy X-ray performs as well as clinical computed tomography for the measurement of visceral fat

Lisa K Micklesfield, Julia H Goedecke, Mark Punyanitya, Kevin E Wilson, Thomas L Kelly, Lisa K Micklesfield, Julia H Goedecke, Mark Punyanitya, Kevin E Wilson, Thomas L Kelly

Abstract

Visceral adipose tissue (VAT) is associated with adverse health effects including cardiovascular disease and type 2 diabetes. We developed a dual-energy X-ray absorptiometry (DXA) measurement of visceral adipose tissue (DXA-VAT) as a low cost and low radiation alternative to computed tomography (CT). DXA-VAT was compared to VAT assessed using CT by an expert reader (E-VAT). In addition, the same CT slice was also read by a clinical radiographer (C-VAT) and a best-fit anthropomorphic and demographic VAT model (A-VAT) was developed. Whole body DXA, CT at L4-L5, and anthropometry were measured on 272 black and white South African women (age 29 ± 8 years, BMI 28 ± 7 kg/m(2), waist circumference (WC) 89 ± 16 cm). Approximately one-half of the dataset (n = 141) was randomly selected and used as a training set for the development of DXA-VAT and A-VAT, which were then used to estimate VAT on the remaining 131 women in a blinded fashion. DXA-VAT (r = 0.93, standard error of the estimate (SEE) = 16 cm(2)) and C-VAT (r = 0.93, SEE = 16 cm(2)) were strongly correlated to E-VAT. These correlations with E-VAT were significantly stronger (P < 0.001) than the correlations of individual anthropometry measurements and the A-VAT model (WC + age, r = 0.79, SEE = 27 cm(2)). The inclusion of anthropometric and demographic measurements did not substantially improve the correlation between DXA-VAT and E-VAT. DXA-VAT performed as well as a clinical read of VAT from a CT scan and better than anthropomorphic and demographic models.

Figures

Figure 1
Figure 1
DXA-VAT region of measurement. The pure subcutaneous fat lateral to the abdominal muscles can be seen in the image. DXA-VAT, dual-energy X-ray absorptiometry-visceral adipose tissue.
Figure 2
Figure 2
Correlations between (a) E-VAT and DXA-VAT,(b) C-VAT, and (c) A-VAT. Only the validation set data are plotted for DXA-VAT and A-VAT, whereas the complete study set are plotted for C-VAT. A-VAT, anthropomorphic and demographic VAT model; C-VAT, clinical radiographer-VAT; DXA-VAT, dual-energy X-ray absorptiometry-visceral adipose tissue; E-VAT, expert reader-VAT; SEE, standard error of the estimate; VAT, visceral adipose tissue.
Figure 3
Figure 3
Bland–Altman plots and linear regression estimate, with 95% prediction bands, between (a) E-VAT and DXA-VAT, (b) C-VAT, and (c) A-VAT. A-VAT, anthropomorphic and demographic VAT model; C-VAT, clinical radiographer-VAT; DXA-VAT, dual-energy X-ray absorptiometry-visceral adipose tissue; E-VAT, expert reader-VAT; VAT, visceral adipose tissue.

References

    1. Bouchard C. BMI, fat mass, abdominal adiposity and visceral fat: where is the 'beef'. Int J Obes (Lond) 2007;31:1552–1553.
    1. Schoeller DA, Tylavsky FA, Baer al. QDR 4500A dual-energy X-ray absorptiometer underestimates fat mass in comparison with criterion methods in adults Am J Clin Nutr 2005811018–1025.
    1. Chen Z, Wang Z, Lohman al. Dual-energy X-ray absorptiometry is a valid tool for assessing skeletal muscle mass in older women J Nutr 20071372775–2780.
    1. Blake GM, Naeem M, Boutros M. Comparison of effective dose to children and adults from dual X-ray absorptiometry examinations. Bone. 2006;38:935–942.
    1. Lee K, Lee S, Kim YJ, Kim YJ. Waist circumference, dual-energy X-ray absortiometrically measured abdominal adiposity, and computed tomographically derived intra-abdominal fat area on detecting metabolic risk factors in obese women. Nutrition. 2008;24:625–631.
    1. Micklesfield LK, Evans J, Norris al. Dual-energy X-ray absorptiometry and anthropometric estimates of visceral fat in Black and White South African Women Obesity (Silver Spring) 201018619–624.
    1. Gradmark AM, Rydh A, Renström al. Computed tomography-based validation of abdominal adiposity measurements from ultrasonography, dual-energy X-ray absorptiometry and anthropometry Br J Nutr 2010104582–588.
    1. Smith SR, Lovejoy JC, Greenway al. Contributions of total body fat, abdominal subcutaneous adipose tissue compartments, and visceral adipose tissue to the metabolic complications of obesity Metabolism 200150425–435.
    1. Body Composition User Guide, Document No. MAN-02354 Revision 001. (Hologic, Inc., 2010
    1. Kelly TL, Wilson KE, Ruth CR.Estimating visceral fat by dual-energy X-ray absorptiometry. US patent application number US2010–0234719 (Hologic, Inc.,2010
    1. Kelly TL, Wilson KE, Ruth CR.Visceral fat measurement. US patent application number US2011–0235881 (Hologic, Inc.,2011
    1. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–310.
    1. Potretzke AM, Schmitz KH, Jensen MD. Preventing overestimation of pixels in computed tomography assessment of visceral fat. Obes Res. 2004;12:1698–1701.
    1. Shen W, Punyanitya M, Chen al. Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health risks Int J Obes (Lond) 200731763–769.
    1. Shen W, Punyanitya M, Wang al. Visceral adipose tissue: relations between single-slice areas and total volume Am J Clin Nutr 200480271–278.
    1. Han TS, Kelly IE, Walsh K, Greene RM, Lean ME. Relationship between volumes and areas from single transverse scans of intra-abdominal fat measured by magnetic resonance imaging. Int J Obes Relat Metab Disord. 1997;21:1161–1166.
    1. Glüer CC, Blake G, Lu al. Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques Osteoporos Int 19955262–270.
    1. Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS ONE. 2009;4:e7038.
    1. Nelson DA, Beck TJ, Wu al. Ethnic differences in femur geometry in the women's health initiative observational study Osteoporos Int 2011221377–1388.
    1. Meng X, Zhu K, Devine al. A 5-year cohort study of the effects of high protein intake on lean mass and BMC in elderly postmenopausal women J Bone Miner Res 2009241827–1834.
    1. Strotmeyer ES, Cauley JA, Schwartz al. Diabetes is associated independently of body composition with BMD and bone volume in older white and black men and women: The Health, Aging, and Body Composition Study J Bone Miner Res 2004191084–1091.

Source: PubMed

3
Předplatit