Automated Radiotherapy Planning for Patient-Specific Exploration of the Trade-Off Between Tumor Dose Coverage and Predicted Radiation-Induced Toxicity—A Proof of Principle Study for Prostate Cancer

Automated Radiotherapy Planning for Patient-Specific Exploration of the Trade-Off Between Tumor Dose Coverage and Predicted Radiation-Induced Toxicity—A Proof of Principle Study for Prostate Cancer

Background: Currently, radiation-oncologists generally evaluate a single treatment plan for each patient that is possibly adapted by the planner prior to final approval. There is no systematic exploration of patient-specific trade-offs between planning aims, using a set of treatment plans with a-pri...

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Bibliographic Details
Main Authors: Rik Bijman, Linda Rossi, Abdul Wahab Sharfo, Wilma Heemsbergen, Luca Incrocci, Sebastiaan Breedveld, Ben Heijmen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Oncology
Subjects:
personalized radiotherapy
automated multi-criterial treatment planning
normal tissue complication probability (NTCP)
prostate cancer
gastro-intestinal
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00943/full

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https://www.frontiersin.org/article/10.3389/fonc.2020.00943/full

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