N McNeil, H Bacon, S Kandel, T Patel, M Welch, X Y Ye, C McIntosh, A Bezjak, B H Lok, S Raman, M E Giuliani, J Cho, A Sun, P E Lindsay Jr, G Liu, T Tadic, A J Hope
PURPOSE/OBJECTIVE(S): Patients with interstitial lung disease (ILD) treated with thoracic radiotherapy (RT) are at greater risk of pulmonary toxicity. Automatic universal screening for ILD allows radiation oncologists (ROs) to risk stratify patients and implement necessary modifications to their respiratory monitoring or treatment. Automatic screening however may affect RO workload and so it is imperative to assess the clinical acceptability of this tool. MATERIALS/METHODS: We have developed a machine learning algorithm to identify patients who are at high risk of having ILD based on RT planning computed tomography (CT) images...
October 1, 2023: International Journal of Radiation Oncology, Biology, Physics