Feature selection and rad-score establishment
PD
REGRESSION
For the 396 MRI radiomics features, the LASSO regression selected three significant radiomics features, namely, LASSO algorithm was used to choose optimal radiomic features to construct Radscore model: The radiomics model based on the Radscore yielded an AUC of 0.70 (95% CI 0.58–0.82) in the training cohort and 0.69 (95% CI 0.51–0.88) in the validation cohort in predicting the SD + PD responses.