Supplementary Figure S3 from Early Prediction of Disease Progression in Small Cell Lung Cancer: Toward Model-Based Personalized Medicine in Oncology

Prediction accuracy at the individual level of RECIST model: Predicted probabilities of progression (sorted in ascending order) during treatment (SCAN 1 and SCAN 2, in green and orange) and at the first two follow-up CT scans (in blue and red) for patients in internal dataset (left) and external dataset (right) obtained from all data available (i.e. biomarker and CT scans outcome). Empty rhombuses represent patients that did not have disease progression in the CT scan and filled squares depict patients with observed disease progression at each CT scan. Dotted and solid lines depict the 25th and 75th quantiles corresponding to the individual posterior distribution.