Fig. 5

ROC curve of independent Rad-score model and model predictors screening. Independent radiomics model ROC curves of the training set (AUC: 0.856, 95%CI: 0.792–0.919) (A) and testing set (AUC: 0.753, 95% CI: 0.606–0.901) (B). By the LASSO regression to independent predictors selection. C Tuning parameter (lambda, λ) of the LASSO model was selected and optimized by the tenfold cross-validation, and the optimal λ value was obtained by drawing vertical dotted lines. D Substituting the optimal λ values into the eigencoefficients, four nonzero coefficient features are obtained. ROC operating characteristic curve; AUC area under the curve; 95% CI 95% confidence interval