Statistical analysis
All statistical analyses were performed using R version 3.6.3 and Python version 3.7. The patients were randomly divided into a training group and a test group at a ratio of 7:3. All radiomic features were applied with Z score normalization. Baseline data were analyzed by univariate analysis using Python statsmodels 0.11.1. The chi-square test was used for categorical variables, and the t test or Mann‒Whitney U test was used for continuous variables. The factors with significant differences (The main evaluation indicators were the area under the ROC curve, accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Decision curve analysis (DCA) was used to calculate the clinical impact of the three models [