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DOE OSTI · 23198685

Dosimetric Planning Tradeoffs to Reduce Heart Dose Using Machine Learning-Guided Decision Support Software in Patients with Lung Cancer

Bitterman, Danielle S.·Selesnick, Philip·Bredfeldt, Jeremy·Williams, Christopher L.·Guthier, Christian·others, and
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Abstract

Cardiac toxicity is a well-recognized risk after radiation therapy (RT) in patients with non-small cell lung cancer (NSCLC). However, the extent to which treatment planning optimization can reduce mean heart dose (MHD) without untoward increases in lung dose is unknown.

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62 RADIOLOGY AND NUCLEAR MEDICINECOMPUTER CODESHEALTH HAZARDSHEARTLUNGSMACHINE LEARNINGMAGNETOHYDRODYNAMICSNEOPLASMSOPTIMIZATIONPATIENTSPLANNINGRADIATION DOSESRADIOTHERAPYTOXICITY

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BibTeXRIS

Bitterman, Danielle S., Selesnick, Philip, Bredfeldt, Jeremy, Williams, Christopher L., Guthier, Christian, others, and. 2022-03-05. Dosimetric Planning Tradeoffs to Reduce Heart Dose Using Machine Learning-Guided Decision Support Software in Patients with Lung Cancer. https://doi.org/10.1016/j.ijrobp.2021.11.009

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