Research Paper Volume 13, Issue 7 pp 9960—9975

Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma

Predictive model of survival integrating multiple omics features. (A) Time-dependent ROC, and (B) Kaplan-Meier curves analyzed by multi-omics model in validation set. (C) Comparison of decision curves of each model. The gray oblique line represented the net benefit of intervention for all patients, while horizontal line represented the net benefit of no intervention. The multi-omics model reached higher net benefit than single-omics models across the major range of threshold probability.

Figure 5. Predictive model of survival integrating multiple omics features. (A) Time-dependent ROC, and (B) Kaplan-Meier curves analyzed by multi-omics model in validation set. (C) Comparison of decision curves of each model. The gray oblique line represented the net benefit of intervention for all patients, while horizontal line represented the net benefit of no intervention. The multi-omics model reached higher net benefit than single-omics models across the major range of threshold probability.