Extended application of a CT-based artificial intelligence prognostication model in patients with primary lung cancer undergoing stereotactic ablative radiotherapy

Highlights: • The target population of a deep learning prognostication model could be extended. • The model predicted survival in patients receiving stereotactic radiotherapy for lung cancer. • The deep learning model output was an independent prognostic factor for survival. • Heat map visualized the association of intra- and peri-tumoral features with survival. To validate a computed tomography (CT)-based deep learning prognostication model, originally developed for a surgical cohort, in patients with primary lung cancer undergoing stereotactic ablative radiotherapy (SABR).