Fig. 4
From: CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer
The potential for clinical applications of the radiomics model. A Calibration curve of radiomics prediction model in the training set and two validation sets. The solid red line is bias correction by bootstrapping (1000 replicates), indicating the observed radiomics prediction model performance. B DCA of radiomics prediction model. The horizontal axis is the threshold probability and the vertical axis is the standard net benefit. C CT images of patients who respond and do not respond to immunotherapy. The upper panel shows the CT image before immunotherapy and the lower panel shows the CT image after receiving a certain course of immunotherapy. Probabilities of high TMB predicted by the radiomics model are indicated