Department of endocrinology-Diabetology-Nutrition, Universitary Hospital of Angers, Faculty of Medicine of Angers, France.
Clin Radiol. 2010 Sep;65(9):695-700. doi: 10.1016/j.crad.2010.03.013. Epub 2010 Jun 19.
To evaluate the relationship between the distribution of visceral and subcutaneous adipose tissue and hepatic steatosis assessed using magnetic resonance imaging (MRI).
One T1-weighted, in-/out-of-phase, single-section sequence at the L3/L4 level and one multi-echo gradient MRI (MGRE) sequence were performed on 65 patients [19 females and 46 males; age 57+/-9.5 years; body mass index (BMI) 31+/-5.1kg/m(2)]. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) surfaces, and hepatic steatosis were automatically calculated using in-house software. Weight, height, BMI, waist circumference, hip circumference, and waist:hip ratio were recorded. The probability of having a steatosis greater than 10% on MRI was evaluated by receiver operating characteristic (ROC) curves.
The anthropometric parameter best correlated to hepatic steatosis was the waist-to-hip ratio (r=0.301). VAT and proportion of VAT were correlated to liver fat content (r=0.307 and r=0.249, respectively). No significant correlations were found for BMI, hip circumference, and SAT. The area under the receiver operating characteristics (AUROCs) for the relationship between liver steatosis and BMI, waist circumference, waist:hip ratio, VAT surface, and proportion of VAT, were respectively 0.52, 0.63, 0.71, 0.73 and 0.75.
Adipose tissue distribution is more relevant than total fat mass when assessing the possibility of liver steatosis in overweight patients.
评估磁共振成像(MRI)评估内脏和皮下脂肪组织分布与肝脂肪变性之间的关系。
对 65 例患者(19 名女性和 46 名男性;年龄 57±9.5 岁;体重指数(BMI)31±5.1kg/m²)进行了 L3/L4 水平的 T1 加权、同/反相位单节段序列和多回波梯度 MRI(MGRE)序列。使用内部软件自动计算内脏脂肪组织(VAT)、皮下脂肪组织(SAT)面积和肝脂肪变性。记录体重、身高、BMI、腰围、臀围和腰臀比。通过接受者操作特征(ROC)曲线评估 MRI 上存在大于 10%脂肪变性的概率。
与肝脂肪变性相关性最好的人体测量参数是腰围与臀围的比值(r=0.301)。VAT 和 VAT 比例与肝脏脂肪含量相关(r=0.307 和 r=0.249)。BMI、臀围和 SAT 与肝脂肪含量无显著相关性。肝脂肪变性与 BMI、腰围、腰围与臀围比值、VAT 面积和 VAT 比例之间关系的受试者工作特征(AUROCs)曲线下面积分别为 0.52、0.63、0.71、0.73 和 0.75。
在评估超重患者肝脂肪变性的可能性时,脂肪组织分布比总脂肪量更相关。