Combined model construction and validation of performance
REGRESSION
Logistic regression was performed to establish a combined model based on seven clinical features and five radiomics features. The results revealed that the combined model and radiomics model were superior to the clinical model and radiomics model, with ROC-AUCs of the combined model, radiomics model and clinical model of 0.940 and 0.990, 0.840 and 0.960 and 0.920 and 0.950 in the training and test groups, respectively (Table Comparison of receiver operating characteristic (ROC) curves among the clinical model, radiomics model and combined model in the training cohorts (Decision curve analyses for the radiomics-clinical model compared with the radiomics model and clinical model in the training cohort (Calibration plot of the combined model in the training group