Deep-learning for rapid estimation of the out-of-field dose in external beam photon radiotherapy – A proof of concept

Background and purpose: The dose deposited outside of the treatment field during external photon beam radiotherapy treatment, also known as out-of-field dose, is the subject of extensive study as it may be associated with a higher risk of developing a second cancer, and could have deleterious effects on the immune system which compromise the efficiency of combined radio-immunotherapy treatments. Out-of-field dose estimation tools developed today in research, including Monte Carlo simulations and analytical methods, are not suited to the requirements of clinical implementation because of their lack of versatility and their cumbersome application.

Source: International Journal of Radiation Oncology * Biology * Physics - March 28, 2024 Category: Radiology Authors: Nathan Benzazon, Alexandre Carr é, François de Kermenguy, Stéphane Niyoteka, Pauline Maury, Julie Colnot, Meissane M'hamdi, Mohammed El Aichi, Cristina Veres, Rodrigue Allodji, Florent de Vathaire, David Sarrut, Neige Journy, Claire Alapetite, Vincent Source Type: research