Fig. 4

The discrimination and calibration assessment of the model

(A) ROC curve and AUC of the nomogram in the training cohort. (B) Calibration curve for the nomogram to predict the probability of unsuccessful treatment outcomes with bootstrap sampling validation. (C) Calibration curve for the nomogram to predict the probability of unsuccessful treatment outcome with leave-one-out cross-validation. (D) Decision curve for the predictive nomogram. The net benefits were measured at different threshold probabilities. The blue line represents the predictive nomogram. The gray line represents the assumption that all patients have unsuccessful treatment outcomes. The black line represents the assumption that no patients have unsuccessful treatment outcomes