Determination of fast neutron RBE using a fully mechanistic computational model

Autor: Ghasem Forozani, John J. Tello, Azam Zabihi, Sebastien Incerti, Mario A. Bernal, Amir Moslehi, Farid Semsarha, Ziad Francis
Přispěvatelé: Centre d'Etudes Nucléaires de Bordeaux Gradignan (CENBG), Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Appl.Radiat.Isot.
Appl.Radiat.Isot., 2020, 156, pp.108952. ⟨10.1016/j.apradiso.2019.108952⟩
DOI: 10.1016/j.apradiso.2019.108952⟩
Popis: International audience; This work presents a model previously developed for estimating relative biological effectiveness (RBE) associated with high-LET particles. It is based on the combination of Monte Carlo simulations of particle interactions when traversing an atomic resolution DNA geometrical model. In addition, the model emulates the induction of lethal damage from the interaction of two sublethal lesions, taken as double-strand breaks. The Geant4-DNA package was used for simulations with liquid water as the transport medium. The RBE of neutron beams with energies ranging from 0.1 MeV up to 14 MeV was studied. The model succeeded in reproducing the general behavior of RBE as a function of neutron energy, including the RBE peak reported by experiments at approximately 0.4 MeV. Furthermore, the results of the model agree rather well with some experimental works. However, our results underestimate RBE for neutron energies above approximately 5 MeV due to the current limitations of Geant4-DNA for the tracking of heavy ions below 0.5 MeV/u.
Databáze: OpenAIRE