Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan, Republic of China.
Department of Nuclear Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan, Republic of China.
Sci Rep. 2017 Jan 10;7:40389. doi: 10.1038/srep40389.
Excessive accumulation of abdominal adipose tissue is a widely recognized as a major feature of obesity, and it can be quantified by dual-energy x-ray absorptiometry (DXA). However, in a phantom study, the inter- and intra-instrument reliability of DXA remains unpredictable. Thus, we attempted to determine the precision of estimates from computer tomography-based measurements and analysis with AZE Virtual Place software. To determine the inter-rater reproducibility and intra-rater repeatability of adipose tissue area estimates, we used the automatic boundary-tracing function of the AZE Virtual Place to generate cross-sectional areas of subcutaneous and visceral adipose tissues from the abdomen of reconstructed CT images. The variability of inter-rater and intra-rater estimates expressed as the coefficient of variation ranged from 0.47% to 1.43% for subcutaneous adipose tissue and 1.08% to 2.20% for visceral adipose tissue; the optimal coefficient of variation of the fat rate calculation ranged from 0.55% to 1.13%, respectively. There was high and significant correlation between adipose tissue areas as estimated in 40 obese subjects by two raters or repeatedly on 20 obese subjects by either rater. This indicates excellent reproducibility and repeatability via a computer tomography-based measurement of abdominal subcutaneous and visceral adipose tissues.
腹部脂肪组织过度堆积是肥胖的一个公认特征,可通过双能 X 射线吸收法(DXA)进行定量。然而,在一项体模研究中,DXA 的仪器间和仪器内可靠性仍然难以预测。因此,我们尝试确定基于计算机断层扫描的测量和分析的 AZE Virtual Place 软件的精度。为了确定脂肪组织面积估计的观察者间再现性和观察者内重复性,我们使用 AZE Virtual Place 的自动边界追踪功能,从重建的 CT 图像的腹部生成皮下和内脏脂肪组织的横截面积。观察者间和观察者内估计值的变异性表示为变异系数,范围为 0.47%至 1.43%,用于皮下脂肪组织,1.08%至 2.20%,用于内脏脂肪组织;脂肪率计算的最佳变异系数范围分别为 0.55%至 1.13%。由两位观察者在 40 位肥胖受试者中或由任何一位观察者在 20 位肥胖受试者中重复测量,所估计的脂肪组织面积之间存在高度显著的相关性。这表明通过基于计算机断层扫描的腹部皮下和内脏脂肪组织测量具有出色的再现性和重复性。