Comprehensive commissioning and quality assurance validation of Ethos™ therapy.
Assurance qualité
Commissioning
Ethos™
QA validation
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:
Sep 2023
Sep 2023
Historique:
received:
22
09
2022
revised:
11
10
2022
accepted:
18
10
2022
medline:
16
8
2023
pubmed:
22
4
2023
entrez:
21
04
2023
Statut:
ppublish
Résumé
Adaptive radiotherapy with the Ethos® therapy Varian system has been recently implemented at the Montpellier Cancer Institute, France. This article details the commissioning performed before the implementation of this new treatment planning system (TPS). To validate the golden beam data of the machine (Halcyon linear accelerator), percentage depth doses (PDD) and profiles were measured for several field sizes and at different depths with a microdiamond chamber. The final doses calculated for different plan types with the Ethos Acuros XB algorithm and the Halcyon Eclipse Analytic Anisotropic Algorithm were compared using the gamma index method. Lastly, for the patient quality assurance (QA) process, the patient treatment plan results obtained with the Mobius3D QA platform (Varian) were compared with the portal dosimetry results obtained with Epiqa (Epidos). Minor differences were observed for the PDD and profile curves (mean difference of 0.2% and 2%, respectively). The χ index pass rate was above 98% for all measures using the 1%/1mm and 2%/2mm criteria for PDD and profile evaluations. The Ethos AXB algorithm was validated for every configuration (fixed fields, standard IMRT and VMAT fields, and clinical plans) with 2D/3D gamma index values>99%. Seventy-three 3-arcs-VMAT QA plans and 27 9-fields-IMRT QA plans were evaluated. Both showed excellent agreement with the TPS calculations (mean gamma pass rate higher than 99%). No difference was observed between IMRT and VMAT. The beam delivery, the Ethos AXB algorithm, and the patient QA were comprehensively validated using independent tools.
Identifiants
pubmed: 37085341
pii: S1278-3218(23)00049-5
doi: 10.1016/j.canrad.2022.10.001
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
355-361Informations de copyright
Copyright © 2023 Société française de radiothérapie oncologique (SFRO). Published by Elsevier Masson SAS. All rights reserved.