MRI无创定量测量腹腔脂肪体积预测2型糖尿病

发布时间：2018-04-15 00:13

本文选题：磁共振成像 + 糖尿病　；参考：《中国医学影像技术》2017年12期

【摘要】：目的探讨MRI无创定量测量腹腔脂肪体积(VAT)在预测2型糖尿病中的作用。方法收集2型糖尿病(T2DM)患者15例、糖耐量异常(IGT)患者17例、正常人群(糖耐量正常,NGT)16名。所有试验者均接受上腹部MRI I-DEAL-IQ序列检查,利用后处理工作站在T1WI IDEAL-IQ序列的脂肪分量图上分别测量并计算L2、L3范围所对应的腹腔脂肪体积(VATV L2、VATV L3),并计算两者总量(total VATV);利用ROC曲线及Logistic回归方程评估各部位脂肪含量预测T2DM的可能性。结果 T2DM组VATV L2、VATV L3、total VATV均高于IGT组与NGT组(P均0.05);IGT与NGT组VATV L2、VATV L3、total VATV差异无统计学意义(P0.05)。VATV L2460.34 ml时,诊断T2DM的敏感度为73.33%,特异度为75.76%,准确率为75.00%;VATV L3429.46 ml时诊断T2DM的敏感度为86.67%,特异度为72.73%,准确率为77.08%;total VATV887.83ml时诊断T2DM的敏感度为86.67%,特异度为72.73%,准确率为77.08%。二分类Logistic回归方程分析显示,可纳入的变量为VATV L3(P=0.01,OR=1.01),判断T2DM的敏感度为80.00%,特异度为88.20%,总体准确率为84.40%。结论 MRI定量腹腔脂肪体积提供一种有效的无创性生物学指标预测T2DM的发生,VATV L3是较好的预测因子。
[Abstract]:Objective to investigate the role of noninvasive quantitative measurement of abdominal fat volume (MRI) in predicting type 2 diabetes mellitus.Methods Fifteen patients with type 2 diabetes mellitus (T2DM), 17 patients with impaired glucose tolerance (IGT) and 16 normal subjects (NGT with normal glucose tolerance) were collected.All the subjects were examined by MRI I-DEAL-IQ sequence.Using the post processing workstation to measure and calculate the abdominal fat volume corresponding to the range of L2TV-L3 on the fat component map of T1WI IDEAL-IQ sequence, and calculate the total volume of VATVL3 and the total volume of VATV3, and evaluate the fat in each part by using ROC curve and Logistic regression equation.Content predicts the possibility of T2DM.Results the total VATV of VATV L2VL3VL3 in T2DM group was higher than that in IGT group and NGT group (P 0.05). There was no significant difference in total VATV between VATV L2VL3VL3 and NGT group (P0.05, VATV L2460.34ml).The sensitivity of diagnosing T2DM was 73.33, the specificity was 75.76, the accuracy was 75.00 and the accuracy was 75.00 and the sensitivity was 86.67 and the specificity was 72.733.The sensitivity was 86.67 when the accuracy was 77.08 VATV887.83ml, the specificity was 77.08 and the specificity was 77.08. The specificity was 77.08 and the specificity was 77.08.The two classification Logistic regression equation analysis showed that the variables that could be included were VATV L3, P0. 01 and OR1. 01, the sensitivity of T2DM was 80. 00, the specificity was 88. 20, and the overall accuracy was 84. 40.Conclusion MRI provides an effective noninvasive biological index to predict the occurrence of T2DM and VATV L3 is a good predictor.
【作者单位】：中山大学附属第一医院放射诊断科;深圳市中医院放射影像科;
【基金】：国家自然科学基金(81571750) 广东省自然科学基金(2015A030313043、2014A030311018) 广东省科技计划项目(2014A020212125)
【分类号】：R445.2;R587.1

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