Xinru Chen, Raymond P Mumme, Kelsey L Corrigan, Yuki Mukai-Sasaki, Efstratios Koutroumpakis, Nicolas L Palaskas, Callistus M Nguyen, Yao Zhao, Kai Huang, Cenji Yu, Ting Xu, Aji Daniel, Peter A Balter, Xiaodong Zhang, Joshua S Niedzielski, Sanjay S Shete, Anita Deswal, Laurence E Court, Zhongxing Liao, Jinzhong Yang
PURPOSE: Accurate and comprehensive segmentation of cardiac substructures is crucial for minimizing the risk of radiation-induced heart disease in lung cancer radiotherapy. We sought to develop and validate deep learning-based auto-segmentation models for cardiac substructures. MATERIALS AND METHODS: Nineteen cardiac substructures (whole heart, 4 heart chambers, 6 great vessels, 4 valves, and 4 coronary arteries) in 100 patients treated for non-small cell lung cancer were manually delineated by two radiation oncologists...
December 19, 2023: Radiotherapy and Oncology