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 genomics features. (A) The waterfall plot of 20 most common somatic mutations in training set. (B) The 1-year, 3-year and 5-year area under the ROC of radiomics model (R), genomics model (G) and radiomics+genomics model (RG) in validation set. (C) Kaplan-Meier curves showed survival differences between high-risk and low-risk patients of validation set.

Figure 2. Predictive models of survival integrating radiomics with genomics features. (A) The waterfall plot of 20 most common somatic mutations in training set. (B) The 1-year, 3-year and 5-year area under the ROC of radiomics model (R), genomics model (G) and radiomics+genomics model (RG) in validation set. (C) Kaplan-Meier curves showed survival differences between high-risk and low-risk patients of validation set.