摘要:To explore the value of contrast-enhanced CT texture analysis in predicting isocitrate dehydrogenase (
IDH) mutation status of intrahepatic cholangiocarcinomas (ICCs). Institutional review board approved this study. Contrast-enhanced CT images of 138 ICC patients (21 with
IDH mutation and 117 without
IDH mutation) were retrospectively reviewed. Texture analysis was performed for each lesion and compared between ICCs with and without
IDH mutation. All textural features in each phase and combinations of textural features (p < 0.05) by Mann–Whitney U tests were separately used to train multiple support vector machine (SVM) classifiers. The classification generalizability and performance were evaluated using a tenfold cross-validation scheme. Among plain, arterial phase (AP), portal venous phase (VP), equilibrium phase (EP) and Sig classifiers, VP classifier showed the highest accuracy of 0.863 (sensitivity, 0.727; specificity, 0.885), with a mean area under the receiver operating characteristic curve of 0.813 in predicting
IDH mutation in validation cohort. Texture features of CT images in portal venous phase could predict
IDH mutation status of ICCs with SVM classifier preoperatively.