MSCT增强扫描期相及VOI的选择在基于影像组学方法预测原发性肝细胞癌微血管侵犯中的价值  

The value of contrast-enhanced MSCT with phases and VOI strategies in the prediction of microvascular invasion in primary hepatocellular carcinoma based on radiomics

作　　者：徐向东[1] 张婉丽 梁芳蓉 丁文双[3] 刘虔铖[4] 赖胜圣[4] XU Xiangdong;ZHANG Wanli;LIANG Fangrong;DING Wenshuang;LIU Qiancheng;LAI Shengsheng(Department of Radiology,Guangzhou First People’s Hospital,Guangzhou 510180,China;School of Medicine,South China University of Technology,Guangzhou 510006,China;Department of Pathology,Guangzhou First People’s Hospital,School of Medicine,Guangzhou 510180,China;School of Medical Equipment,Guangdong Food and Drug Vocational College,Guangzhou 510520,China)

机构地区：[1]广州市第一人民医院放射科,广州510180 [2]华南理工大学医学院,广州510006 [3]广州市第一人民医院病理科,广州510180 [4]广东食品药品职业学院医疗器械学院,广州510520

出　　处：《广州医药》2023年第5期36-43,55,共9页Guangzhou Medical Journal

基　　金：广东食品药品职业学院院级课题(2021ZR3)。

摘　　要：目的基于影像组学方法,探讨多层螺旋CT(MSCT)四期增强扫描单一/不同期相及不同容积感兴趣区(VOI)的选择,在术前预测原发性肝细胞癌(HCC)微血管侵犯(MVI)中的价值。方法回顾性收集88例经手术病理证实为HCC并行术前MSCT四期增强扫描的患者,其中包括47例MVI阳性患者和41例MVI阴性患者。在MSCT增强扫描的动脉早期、动脉晚期、门静脉期及延迟期图像中手动逐层勾画肿瘤ROI,获得瘤体容积感兴趣区VOI(Vt),然后基于计算机自动膨胀算法将Vt外扩10 mm获得瘤体及瘤周VOI(Vt+Vp)。使用Pyradiomics软件分别从Vt和Vt+Vp中提取影像组学特征,随后采用15种特征选择方法和10种分类器构建150个预测模型,并通过十折交叉检验以验证模型的效能。使用准确度、敏感度、特异度、受试者工作特性曲线下面积(AUC)评估模型的效能,并比较性能最优的前三个预测模型。结果MSCT四期增强扫描图像中预测HCC MVI状态的影像组学模型在门静脉期的表现优于其它期相及各期相的不同组合,其中最大的AUC值在Vt和Vt+Vp两种ROI中分别为0.768和0.782。此外,基于Vt+Vp的影像组学模型对MVI的预测效能优于基于Vt的影像组学模型,基于Vt+Vp性能最优的预测模型的AUC值、准确度、敏感度和特异度分别0.782、0.728、0.745和0.705。结论采用影像组学方法术前无创性预测HCC MVI状态首选增强扫描的门静脉期,ROI首选瘤体联合瘤周10 mm区域。Objective To investigate the value of single or different phases of contrast-enhanced multi-slice spiral CT(MSCT)in different volumetric regions of interest(ROI)to preoperatively predict the state of microvascular invasion in primary hepatocellular carcinoma(HCC)based on radiomics methods.Methods A total of 88 patients with HCC confirmed by surgical pathology who underwent preoperative MSCT quadruple-enhanced scan were retrospectively recruited,including 47 MVI-positive patients and 41 MVI-negative patients.The ROI was manually delineated slice-by-slice in the early arterial phase,late arterial phase,portal venous phase,and equilibrium phase of enhanced MSCT images to obtain the volume of tumor VOI(Vt),and then Vt was expanded by 10 mm through the computer expansion algorithm automatically to obtain the volume of tumor and peritumor(Vt+Vp).Pyradiomics software was used to extract radiomic features from Vt and Vt+Vp,followed by 150 discriminant models constructed with 150 feature selection methods and 10 classifiers,and then 10-fold cross-validation was used to evaluate the performance of these models.Using accuracy,sensitivity,specificity,area under the receiver operating characteristic curve(AUC)to assess model performance.The top three predictive models with the best performance were also compared.Results The radiomics model for predicting HCC MVI status in portal venous phase among quadruple-enhanced MSCT images outperformed other phases and different combinations of phases,achieving the highest AUC values of 0.768 and 0.782 in Vt and Vt+Vp respectively.In addition,the prediction performance of the radiomics model based on Vt+Vp was superior to models based on Vt.AUC value,accuracy,sensitivity,and specificity of the model with the best performance based on Vt+Vp were 0.782,0.728,0.745 and 0.705 respectively.Conclusions Radiomics models based on the portal venous phase of contrast-enhanced MSCT and tumor combined with the 10mm peritumoral area were more recommended to be employed to preoperative non-invasively

关 键 词：肝细胞癌 微血管侵犯 影像组学 计算机断层扫描 

分 类 号：R735.7[医药卫生—肿瘤] R730.44[医药卫生—临床医学]