Diagnostic performance of the radiomics model
aMCI
The diagnostic performance of the radiomics model to distinguish aMCI from normal subjects was evaluated using ROC analysis in both the training set and the test set. In the training set, the area under the ROC curve (AUC) was 1.00, and the accuracy, sensitivity, and specificity were 100%, 98%, and 100%, respectively. In the testing set, AUC was 0.82 (95% Confidence Interval(CI):0.69–0.95), and the accuracy, sensitivity, and specificity were 69%, 92%, and 55%, respectively (Table Model representation.Abbreviations: AUC, area under the receiver operating characteristic curve; NPV, negative‐predictive value; PPV, positive‐predictive value ;NA, not applicable.