Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma
作者机构：Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhou 350005Fujian ProvinceChina Key Laboratory of Radiation Biology(Fujian Medical University)Fujian Province UniversityFuzhou 350005Fujian ProvinceChina
出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)
年 卷 期：2022年第28卷第24期
页 面：2733-2747页
核心收录：
学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 100207[医学-影像医学与核医学] 1002[医学-临床医学] 08[工学] 1010[医学-医学技术（可授医学、理学学位）] 100214[医学-肿瘤学] 10[医学]
基 金：Supported by Joint Funds for the Innovation of Science and Technology Fujian Province (CN) No. 2019Y9125
主 题：Hepatocellular carcinoma Microvascular invasion Magnetic resonance imaging Radiomic analysis Imaging biomarkers
摘 要：BACKGROUND The prognosis of hepatocellular carcinoma(HCC)remains poor and relapse occurs in more than half of patients within 2 years after *** terms of recent studies,microvascular invasion(MVI)is one of the potential predictors of *** preoperative prediction of MVI is potentially beneficial to the optimization of treatment *** To develop a radiomic analysis model based on pre-operative magnetic resonance imaging(MRI)data to predict MVI in *** A total of 113 patients recruited to this study have been diagnosed as having HCC with histological confirmation,among whom 73 were found to have MVI and 40 were *** the patients received preoperative examination by Gd-enhanced MRI and then curative *** manually delineated the tumor lesion on the largest cross-sectional area of the tumor and the adjacent two images on MRI,namely,the regions of *** analyses included most discriminant factors(MDFs)developed using linear discriminant analysis algorithm and histogram analysis with MaZda *** significant variables of clinical and radiological features and MDFs for the prediction of MVI were estimated and a discriminant model was established by univariate and multivariate logistic regression *** ability of the above-mentioned parameters or model was then evaluated by receiver operating characteristic(ROC)curve ***-fold cross-validation was also applied via R *** The area under the ROC curve(AUC)of the MDF(0.77-0.85)outperformed that of histogram parameters(0.51-0.74).After multivariate analysis,MDF values of the arterial and portal venous phase,and peritumoral hypointensity in the hepatobiliary phase were identified to be independent predictors of MVI(P0.05).The AUC value of the model was 0.939[95%confidence interval(CI):0.893-0.984,standard error:0.023].The result of internal five-fold cross-validation(AUC:0.912,95%CI:0.841-0.959,standard error:0.029
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