Gross Tumour Volume CT Radiomics for Prognostication of Recurrence & Death following Curative-Intent Radiotherapy for Non-Small Cell Lung Cancer
Description
Recurrence occurs in up to 36% of patients treated with curative-intent radiotherapy for NSCLC. Identifying patients at higher risk of recurrence for more intensive surveillance may facilitate earlier introduction of the next line of treatment. We aimed to use radiotherapy planning CT scans to develop radiomic classification models that predict overall survival (OS), recurrence-free survival (RFS) and recurrence two years post-treatment for risk-stratification. A retrospective multi-centre study of >900 patients receiving curative-intent radiotherapy for stage I-III NSCLC was undertaken. Models using radiomic and/or clinical features were developed, compared with ten-fold cross-validation and an external test set, and benchmarked against TNM-stage. Such models could be integrated into the routine radiotherapy workflow, thus informing a personalised surveillance strategy at the point of treatment. Our work lays the foundations for future prospective clinical trials for quantitative personalised risk-stratification for surveillance following curative-intent radiotherapy for NSCLC. The radiomic feature data are provided here. Due to confidentiality, clinical data collected for the study are not publicly available for download, however the corresponding authors can be contacted for academic inquiries.