韩雪莉,吴艳,郭华,高剑波.定量CT测定人体腹部脂肪分布、肝脏脂肪含量与肥胖的相关性[J].中国医学影像技术,2017,33(S1):90~92
定量CT测定人体腹部脂肪分布、肝脏脂肪含量与肥胖的相关性
Correlation of abdominal adipose distribution, lipid content ofliver and obesity using quantitative CT
投稿时间:2017-08-02  修订日期:2017-11-17
DOI:10.13929/j.1003-3289.2017017
中文关键词:  腹腔内脂肪  肝内脂肪含量  体层摄影术,X线计算机
英文关键词:Intra-abdominal fat  Hepatic fat content  Tomography,X-ray computed
基金项目:
作者单位E-mail
韩雪莉 郑州大学第一附属医院放射科, 河南 郑州 450052  
吴艳 郑州大学第一附属医院放射科, 河南 郑州 450052  
郭华 郑州大学第一附属医院放射科, 河南 郑州 450052 13592527305@qq.com 
高剑波 郑州大学第一附属医院放射科, 河南 郑州 450052  
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中文摘要:
      目的 探讨人体腹部脂肪分布、肝脏脂肪含量与肥胖的相关性。方法 收集于我院接受定量CT (QCT)腰椎骨密度(BMD)检查的健康体检者123名,将受检者分为肥胖组与正常组,比较2组间L2~3、L3~4、L4~5、L5~S1椎间隙水平层面的腹腔内脏脂肪面积(VAA)、肝脏脂肪含量百分比β值,分析肥胖组与正常组差异有统计学意义的椎间隙水平层面VAA值与年龄、BMI的相关性。结果 肥胖组L4~5椎间隙水平层面VAA较正常组增大(P=0.005),2组余椎间隙VAA比较差异无统计学意义(P均 > 0.05);肥胖组肝脏脂肪含量百分比β值较正常组增高(P=0.001);肥胖组L4~5椎间隙水平层面VAA与年龄及BMI均呈正相关(r=0.485、0.389;P=0.012、0.049)。结论 QCT可评估肥胖者腹部脂肪的分布;L4~5椎间隙水平层面VAA可预测肥胖风险;肝脏脂肪含量百分比β值在定量诊断肥胖者肝脏脂肪含量具有特异性。
英文摘要:
      Objective To explore the correlation between abdominal adipose distribution, lipid content of liver and obesity using quantitative CT (QCT). Methods Totally 123 healthy volunteers underwent QCT lumbar bone mineral density (BMD) examination were collected. All healthy volunteers were divided into obesity group and normal group. The visceral adipose area (VAA) in the middle level of L2-3, L3-4, L4-5, L5-S1 vertebra and the lipid content of liver β value were compared between the two groups. The Pearson correlation was analyzed between age, BMI and VAA of obesity group which was significantly different of normal group. Results The VAA value in the middle level of L4-5 of obesity group was bigger than that in normal group (P=0.005). There were no significant differences in other middle level vertebra of VAA between the two groups (all P>0.05), and the lipid content of liver β value of obesity group was higher than normal group (t=4.467, P=0.001).The correlation of the VAA value in the middle level of L4-5 vertebra in obesity group was positively correlated with age and BMI, respectively (r=0.485, 0.389; P=0.012, 0.049). Conclusion The quantitative CT can assess the distribution of abdominal adipose in obese people, the VAA value in the middle level of L4-5 vertebra can predict the risk of obesity, and the lipid content of liver β value was specific in quantitative diagnosis of obese liver fat content.
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