Elevated Coronary Artery Calcium Quantified by a Deep Learning Model from Radiotherapy Planning Scans Predicts Mortality in Lung Cancer

      Coronary artery calcium (CAC) is one of the strongest predictors of long-term atherosclerotic coronary vascular disease in asymptomatic individuals, however the feasibility of quantitating this measurement from radiotherapy (RT) planning computed tomography (CT) scans is unknown. Since patients with non-small cell lung cancer (NSCLC) represent a distinctly high cardiovascular risk population, we sought to quantify CAC from RT planning CTs in NSCLC patients using a deep learning model.
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