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 models of survival integrating radiomics with proteomics features. (A–C) Area under the ROC of radiomics features (R), protein expression (P) and combination of radiomics and proteomics (RP) for predicting survival in validation set. (D) Kaplan-Meier curves of the validation set that predicted patients’ survival by above models. (E) Predictive ability of radiomics model in external validation set. (F) Kaplan-Meier curves of external validation set analyzed with the radiomics model.

Figure 4. Predictive models of survival integrating radiomics with proteomics features. (AC) Area under the ROC of radiomics features (R), protein expression (P) and combination of radiomics and proteomics (RP) for predicting survival in validation set. (D) Kaplan-Meier curves of the validation set that predicted patients’ survival by above models. (E) Predictive ability of radiomics model in external validation set. (F) Kaplan-Meier curves of external validation set analyzed with the radiomics model.