摘要
Abstract
Objective:To develop a nomogram combining clinical biomarkers and MRI features to predict vessels encapsulating tumor clusters(VETC)in hepatocellular carcinoma(HCC).Materials and Methods:Retrospective analysis of clinical and imaging data of 213 patients with surgical pathologically confirmed HCC,and the patients were divided into training and validation cohorts in a ratio of 7∶3 according to chronological order,and the differences in clinical,pathological and imaging features between the two groups were compared.Univariate and multivariate logistic regression analysis were used to analyze the independent risk factors,including clinical biomarkers and imaging features for VETC in training cohort.Nomogram for predicting VETC were developed based on the results of regression analysis,and this nomogram was validated using the validation cohort.Results:One hundred and forty-eight patients were included in the training cohort and 65 patients in the validation cohort,and there was no statistical difference in clinical,pathological and imaging features between the two groups.In the logistic regression analysis,AFP>400 ng/mL,larger tumor diameter,greater number of tumors,non-smooth tumor margin and presence of intra-tumoral artery were the independent risk factors for predicting VETC.The C index of the nomogram developed based on the above factors was 0.825 and 0.817 in the training and validation cohort,respectively.Conclusions:The nomogram developed by clinical biomarkers and MRI features has good accuracy in predicting VETC and can directly visualize the probability of VETC,which can facilitate personalized treatment plans.关键词
肝细胞癌/肿瘤包绕型血管/临床指标/磁共振成像/影像征象/列线图Key words
hepatocellular carcinoma/vessels encapsulating tumor clusters/clinical biomarker/magnetic resonance imaging/imaging feature/nomogram分类
医药卫生
