Fig. 5From: Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy KaplanāMeier survival curves constructed based on the three models Applying the radiomics model, PFS curves for patients with Rad-scoreāā„ā0.36 (Rad-scoreā=ā1) and Rad-scoreā<ā0.36 (Rad-scoreā=ā0) in the training (a) and validation (b) groups. Applying the genomics model, PFS curves for patients with HRR pathway mutations (HRRā=ā1) and without (wild-type, HRRā=ā0) in the training (c) and validation (d) groups. Applying the integrated model, PFS curves for patients with high (Rad_HRRā=ā2), intermediate (Rad_HRRā=ā1), and low (Rad_HRRā=ā0) progression risk in the training (e) and validation (f) groupsBack to article page