Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Puzi City, Chiayi, Taiwan.
Department of Nursing, Chang Gung University of Science and Technology, Puzi City, Chiayi, Taiwan.
PLoS One. 2020 May 13;15(5):e0233053. doi: 10.1371/journal.pone.0233053. eCollection 2020.
The new generation of dual energy X-ray absorptiometry (DXA) scanners provide visceral adipose tissue (VAT) estimates by applying different algorithms to the conventional DXA-derived fat parameters such as total fat, trunk fat and android fat for the same image data.
This cross-sectional study aimed to investigate whether VAT estimates from Hologic scanners are better predictors of VAT than conventional DXA parameters in pre-pubertal children, and to explore the discrimination ability of these VAT methods for cardiometabolic risks.
Healthy pre-pubertal children aged 7-10 years were recruited for basic anthropometric, DXA and magnetic resonance imaging (MRI) measurements. Laboratory tests included lipid profile, glycaemic tests and blood pressure.
All VAT methods had acceptable to excellent performance for the diagnosis of dyslipidaemia (area under the curve [AUC] = 0.753-0.837) and hypertensive risk (AUC = 0.710-0.821) in boys, but suboptimal performance for these risks in girls, except for VAT by MRI in the diagnosis of dyslipidaemia. In both sexes, all VAT methods had no or poor discrimination ability for diabetes risk.
DXA-derived VAT estimates are very highly correlated with standard methods but has equivalent discrimination abilities compared to the existing DXA-derived fat estimates.
新一代双能 X 射线吸收仪 (DXA) 扫描仪通过对传统 DXA 衍生的脂肪参数（如总脂肪、躯干脂肪和安卓脂肪）应用不同的算法，为同一图像数据提供内脏脂肪组织 (VAT) 估计值。
本横断面研究旨在探讨霍洛威扫描仪的 VAT 估计值是否比传统 DXA 参数更能预测青春期前儿童的 VAT，以及探讨这些 VAT 方法对代谢风险的区分能力。
招募了 7-10 岁健康的青春期前儿童进行基本的人体测量学、DXA 和磁共振成像 (MRI) 测量。实验室测试包括血脂谱、血糖测试和血压。
在男孩中，所有 VAT 方法在诊断血脂异常（曲线下面积 [AUC] = 0.753-0.837）和高血压风险（AUC = 0.710-0.821）方面表现出可接受至良好的性能，但在女孩中这些风险的表现不佳，除了 MRI 诊断血脂异常时的 VAT 方法。在两性中，所有 VAT 方法对糖尿病风险的区分能力均不佳或较差。
DXA 衍生的 VAT 估计值与标准方法高度相关，但与现有的 DXA 衍生脂肪估计值相比，具有同等的区分能力。
