Double scattering and pencil beam scanning Monte Carlo workflows for proton therapy retrospective studies on radiation-induced toxicities.
Efficacité biologique relative
Monte Carlo simulations
Proton therapy
Protonthérapie
Radiation-induced toxicities
Relative biological effectiveness
Simulations Monte Carlo
Toxicités radio-induites
Journal
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
ISSN: 1769-6658
Titre abrégé: Cancer Radiother
Pays: France
ID NLM: 9711272
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
19
12
2022
revised:
02
02
2023
accepted:
07
02
2023
medline:
5
6
2023
pubmed:
11
5
2023
entrez:
10
5
2023
Statut:
ppublish
Résumé
Monte Carlo (MC) simulations can be used to accurately simulate dose and linear energy transfers (LET) distributions, thereby allowing for the calculation of the relative biological effectiveness (RBE) of protons. We present hereby the validation and implementation of a workflow for the Monte Carlo modelling of the double scattered and pencil beam scanning proton beamlines at our institution. The TOPAS/Geant4 MC model of the clinical nozzle has been comprehensively validated against measurements. The validation also included a comparison between simulated clinical treatment plans for four representative patients and the clinical treatment planning system (TPS). Moreover, an in-house tool implemented in Python was tested to assess the variable RBE-weighted dose in proton plans, which was illustrated for a patient case with a developing radiation-induced toxicity. The simulated range and modulation width closely matches the measurements. Gamma-indexes (3%/3mm 3D), which compare the TPS and MC computations, showed a passing rate superior to 98%. The calculated RBE-weighted dose presented a slight increase at the necrosis location, within the PTV margins. This indicates the need for reporting on the physical and biological effects of irradiation in high dose regions, especially at the healthy tissues and increased LET distributions location. The results demonstrate that the Monte Carlo method can be used to independently validate a TPS calculation, and to estimate LET distributions. The features of the in-house tool can be used to correlate LET and RBE-weighted dose distributions with the incidence of radiation-induced toxicities following proton therapy treatments.
Identifiants
pubmed: 37164897
pii: S1278-3218(23)00070-7
doi: 10.1016/j.canrad.2023.02.001
pii:
doi:
Substances chimiques
Protons
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
319-327Informations de copyright
Copyright © 2023 Société française de radiothérapie oncologique (SFRO). Published by Elsevier Masson SAS. All rights reserved.