Fig. 4.

The Large-Nodule Radiomics Predictive Vector (LN-RPV). a) The LASSO regularisation plot, lambda plot and the regression weights for the two selected features are shown. b) ROC-AUC curves for malignancy prediction were used to select cut-offs based on the training-set Youden index. In the test set, the model achieved an AUC of 0.83 (95% CI 0.77–0.88) and an accuracy of 76% (95% CI 70–81%). Abbreviations: AUC, Area under the curve; PPV, Positive predictive value; NPV, Negative predictive value, CI, Confidence interval.