Prediction build and diagnostic validation
MCI
REGRESSION
A nomogram was formulated to predict MCI based on the results of LASSO regression. The sensitivity, specificity, accuracy, positive‐predictive value, and negative‐predictive value were obtained from the models. The predictive performance of the radiomics model was assessed using receiver operating characteristic (ROC) curve analysis (Figure ROC curves of the radiomics mode in training set and test set. AUC, the area under the ROC curve (AUC); ROC, receiver operating characteristic curve.