Department of Medicine, University of Otago, Dunedin, New Zealand.
Department of Human Nutrition, University of Otago, Dunedin, New Zealand.
Obesity (Silver Spring). 2018 Mar;26(3):505-512. doi: 10.1002/oby.22108. Epub 2017 Dec 29.
The aim of this study was to determine the precision of GE Lunar's CoreScan tool (GE Healthcare, Madison, Wisconsin) for measuring visceral adipose tissue (VAT) in adults of varying body size.
Two consecutive dual-energy x-ray absorptiometry (DXA) scans with repositioning were undertaken in 233 participants (110 male, 123 female) aged 18 to 70 years; 38% (n = 89) had normal weight, 34% (n = 80) had overweight, and 27% (n = 64) had obesity. The coefficient of variation (CV), the root-mean-square standard deviation (RMS SD), and the corresponding 95% least significant change (LSC) were calculated for VAT, total fat, total lean, bone mineral density, and bone mineral content.
VAT precision error in the total group was 28.9% (percent CV), with a RMS SD of 47.1 g. Bland-Altman plots demonstrated a mean precision bias of 2.4 g (95% CI: -6.2 to 11.0 g), giving an LSC of 130.6 g. BMI subgroup analyses revealed that precision errors (RMS SD) for VAT mass were 32.9 g in the group with normal weight, 33.5 g in the group with overweight, and 51.0 g in the group with obesity. Precision errors (percent CV) for total body fat, lean, and bone were significantly lower, ranging from 0.7% to 2.6%.
The precision of DXA VAT mass measurements increase with BMI, and caution should be used with estimates in adults with obesity.
本研究旨在确定通用电气医疗(GE Healthcare,威斯康星州麦迪逊)的 Lunar CoreScan 工具测量不同体型成年人内脏脂肪组织(VAT)的精密度。
在 233 名年龄在 18 至 70 岁的参与者中进行了两次连续的双能 X 射线吸收法(DXA)扫描,其中 38%(n=89)为正常体重,34%(n=80)为超重,27%(n=64)为肥胖。计算了 VAT、总脂肪、总瘦组织、骨密度和骨矿物质含量的变异系数(CV)、均方根标准差(RMS SD)和相应的 95%最小有意义变化(LSC)。
总组中 VAT 精度误差为 28.9%(%CV),RMS SD 为 47.1g。Bland-Altman 图显示平均精度偏差为 2.4g(95%置信区间:-6.2 至 11.0g),LSC 为 130.6g。BMI 亚组分析显示,正常体重组 VAT 质量的精度误差(RMS SD)为 32.9g,超重组为 33.5g,肥胖组为 51.0g。总体脂肪、瘦组织和骨的精度误差(%CV)明显较低,范围为 0.7%至 2.6%。
DXA VAT 质量测量的精密度随 BMI 增加而增加,在肥胖成年人中应谨慎使用估计值。