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Fig. 5 | Biomarker Research

Fig. 5

From: Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy

Fig. 5

Kaplanā€“Meier survival curves constructed based on the three models

Applying the radiomics model, PFS curves for patients with Rad-scoreā€‰ā‰„ā€‰0.36 (Rad-scoreā€‰=ā€‰1) and Rad-scoreā€‰<ā€‰0.36 (Rad-scoreā€‰=ā€‰0) in the training (a) and validation (b) groups. Applying the genomics model, PFS curves for patients with HRR pathway mutations (HRRā€‰=ā€‰1) and without (wild-type, HRRā€‰=ā€‰0) in the training (c) and validation (d) groups. Applying the integrated model, PFS curves for patients with high (Rad_HRRā€‰=ā€‰2), intermediate (Rad_HRRā€‰=ā€‰1), and low (Rad_HRRā€‰=ā€‰0) progression risk in the training (e) and validation (f) groups

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