Figure S3.

Diagnostic performance of the radiomic features in training and test dataset for exon-21 L858R mutation (Model Exon21). (A) (I) ROC curve in the training dataset by AIC selection criteria; (II) ROC curve by BIC selection criteria; (III) Heatmap of top 10 most relevant features. The training was performed using image features without clinical factors. (B) (I) ROC curve in the training dataset by AIC selection criteria; (II) ROC curve by BIC selection criteria; (III) Heatmap of top 10 most relevant features. The training was performed using image features and clinical factors. (C) (I) ROC curve in the test dataset using radiomic features and clinical factors by AIC selection criteria; (II) ROC curve using radiomic features and clinical factors by BIC selection criteria. ROC, receiver operating characteristic; AIC, Akaike information criterion; BIC, Bayesian information criterion.