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
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

319-327

Informations de copyright

Copyright © 2023 Société française de radiothérapie oncologique (SFRO). Published by Elsevier Masson SAS. All rights reserved.

Auteurs

A M M Leite (AMM)

Inserm U 1021- CNRS UMR 3347, Institut Curie, PSL Research University, University Paris Saclay, 91898, Orsay, France; Institut Curie, PSL Research University, Radiation Oncology Department, Proton Therapy Centre, centre universitaire, 91898 Orsay, France.

A Bonfrate (A)

Institut Curie, PSL Research University, Radiation Oncology Department, Proton Therapy Centre, centre universitaire, 91898 Orsay, France.

A Da Fonseca (A)

Institut Curie, PSL Research University, Radiation Oncology Department, Proton Therapy Centre, centre universitaire, 91898 Orsay, France.

P Lansonneur (P)

Institut Curie, PSL Research University, Radiation Oncology Department, Proton Therapy Centre, centre universitaire, 91898 Orsay, France.

C Alapetite (C)

Institut Curie, PSL Research University, Radiation Oncology Department, Proton Therapy Centre, centre universitaire, 91898 Orsay, France.

H Mammar (H)

Institut Curie, PSL Research University, Radiation Oncology Department, Proton Therapy Centre, centre universitaire, 91898 Orsay, France.

L De Marzi (L)

Institut Curie, PSL Research University, Radiation Oncology Department, Proton Therapy Centre, centre universitaire, 91898 Orsay, France; Inserm LITO, Institut Curie, PSL Research University, University Paris Saclay, 91898 Orsay, France. Electronic address: ludovic.demarzi@curie.fr.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH