Fig. 3

Radiomics signature development and diagnostic efficiency assessment. A radiomics signature was obtained using the LASSO algorithm, and the optimal tuning parameter (Lambda) in the LASSO model was selected using tenfold cross-validation based on minimum criteria. a LASSO coefficient profiles of the texture features. b The optimal values of log (Lambda) =  − 3.126 and eight non-zero coefficients were chosen (vertical line). c Calibration curves of the radiomics signature, the 45° red lines represent a perfect prediction, and the dotted blue lines represent the predictive performance of the radiomics signature; the closer the dotted blue line fit is to the red line, the better the predictive accuracy of the radiomics signature is. d Diagnostic efficiency of radiomics signature using ROC analysis