半自动分割技术对全胰腺脂肪定量的可行性:与传统ROI方法的比较性研究The feasibility of semi-automatic segmentation technology for quantification of pancreatic fat: Comparative study with traditional ROI methods
尤亚茹;张钦和;刘爱连;梁超;王家正;林良杰;陈丽华;宋清伟;
摘要(Abstract):
目的应用3D mDixon Quant序列,探讨半自动分割技术对全胰腺脂肪定量的可行性。材料与方法纳入30名健康志愿者在3.0 T磁共振(Ingenia CX,Philips)上应用3D mDixon Quant序列进行上腹扫描。男14例,女16例,年龄22~69岁(中位年龄48岁);体质量指数(body mass index,BMI)为17.71~32.59 kg/m2(中位BMI为24.57 kg/m2)。重建图像导入飞利浦ISP (IntelliSpace Portal,Philips)工作站,在脂肪分数图像上采用传统感兴趣区画取法和半自动分割技术进行胰腺脂肪测量。分别于胰腺钩突部、头颈部、体部和尾部各放置3个ROI。所有ROI尽可能避开血管、胰管和内脏脂肪组织。将各ROI的脂肪分数平均值定为该区域的脂肪分数值,然后将每个区域的脂肪分数平均值计算为全胰腺脂肪分数值。另在脂肪分数图像上手动勾画胰腺组织,然后对全胰腺组织进行半自动分割,自动计算全胰腺脂肪分数值。记录每次获得全胰腺脂肪分数所需时间。两名观察者(影像诊断经验分别为3年和5年)分别采用两种方法进行胰腺脂肪分数测量。数据经SPSS 22.0统计软件进行统计分析。采用Shapiro-Wilk检验对数据进行正态性检验。采用组内相关系数(intra-class correlation coefficients,ICC)检验两位观察者数据的一致性。采用非参数Mann-Whitney U检验两种方法全胰腺脂肪分数和所需时间的差异性。结果两位观察者数据一致性良好(ICC=0.981、0.929)。两组全胰腺脂肪分数一致性(ICC=0.981)良好。两组全胰腺脂肪分数(%)分别为3.73(2.97,5.84)、4.20(3.05,6.21),半自动分割技术测得胰腺脂肪分数值略大于传统感兴趣区画取法,差异性无统计学意义(Z=-0.466,P>0.05);两组所需时间差异具有统计学意义(85 s vs 133 s,Z=-6.238,P<0.05)。结论半自动分割技术对胰腺脂肪的定量是可行的,其在保证结果准确的情况下,可以明显缩短测量时间,具有很好的临床应用前景。
关键词(KeyWords): 磁共振成像;脂肪定量;胰腺;半自动分割技术;感兴趣区
基金项目(Foundation): 首都科技领军人才培养工程(编号:Z181100006318003)~~
作者(Author): 尤亚茹;张钦和;刘爱连;梁超;王家正;林良杰;陈丽华;宋清伟;
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DOI:
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