Department of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Clinical Research and Bioinformatics Center, Beijing Institute of Traumatology and Orthopaedics, Beijing, China.
Eur J Clin Nutr. 2018 Nov;72(11):1567-1575. doi: 10.1038/s41430-018-0122-1. Epub 2018 Mar 20.
BACKGROUND/OBJECTIVES: To investigate the relationship between the cross-sectional visceral adipose tissue (VAT) areas at different anatomic sites and the total VAT volume in a healthy Chinese population using quantitative computed tomography (QCT), and to identify the optimal anatomic site for a single slice to estimate the total VAT volume.
SUBJECTS/METHODS: A total of 389 healthy Chinese subjects aged 19-63 years underwent lumbar spine QCT scans. The cross-sectional area of total adipose tissue and VAT were measured using the tissue composition module of the software (QCT Pro, Mindways) at each intervertebral disc level from T/L to L/S, as well as at the umbilical level. The total VAT volume was defined as the fat areas multiplied by the height of vertebral body for all six slices. Statistical analysis was performed to determine the correlation between single-slice VAT areas and the total VAT volume. Moreover, the optimal anatomic site for a single slice to estimate the total VAT volume was identified by multiple regression analysis.
The cross-sectional area of VAT and subcutaneous adipose tissue (SAT) measured at each anatomic site was all highly correlated with the total VAT volume and the total SAT volume (r = 0.89-0.98). Additionally, the VAT area measured at the L/L level showed the strongest correlation with the total VAT volume (r = 0.98, P < 0.001). Covariates including age, gender, BMI, waist, and hypertension make a slight effect on the prediction of the total VAT volume.
It is feasible to perform measurements of VAT area on a single slice at L/L level for estimating the total VAT volume.
背景/目的:利用定量 CT(QCT)研究不同解剖部位的横断面内脏脂肪组织(VAT)面积与健康中国人总体 VAT 体积之间的关系,并确定用于估计总体 VAT 体积的最佳单一切片解剖部位。
受试者/方法:共 389 名 19-63 岁的健康中国人接受了腰椎 QCT 扫描。使用软件(Mindways 的 QCT Pro)的组织成分模块,在 T/L 到 L/S 各椎间隙水平以及脐水平测量总脂肪组织和 VAT 的横截面积。将总 VAT 体积定义为所有 6 个层面的椎体高度乘以脂肪面积。进行统计分析以确定单一切片 VAT 面积与总 VAT 体积之间的相关性。此外,通过多元回归分析确定用于估计总 VAT 体积的最佳单一切片解剖部位。
每个解剖部位测量的 VAT 和皮下脂肪组织(SAT)的横截面积均与总 VAT 体积和总 SAT 体积高度相关(r=0.89-0.98)。此外,L/L 水平的 VAT 面积与总 VAT 体积相关性最强(r=0.98,P<0.001)。包括年龄、性别、BMI、腰围和高血压在内的协变量对总 VAT 体积的预测影响较小。
在 L/L 水平进行单次切片的 VAT 面积测量,用于估计总体 VAT 体积是可行的。