Objective:: Stereotactic ablative radiotherapy (SABR) is being increasingly used as a non-invasive treatment for early-stage non-small cell lung cancer (NSCLC). A non-invasive method to estimate treatment outcomes in these patients would be valuable, especially since access to tissue specimens is often difficult in these cases.
Methods:: We developed a method to predict survival following SABR in NSCLC patients using analysis of quantitative image features on pre-treatment CT images.