Standardization and Validation of Brachytherapy Seeds' Modelling Using GATE and GGEMS Monte Carlo Toolkits.

GATE GGEMS Monte Carlo simulations TG-186 TG-43 brachytherapy

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
22 Oct 2021
Historique:
received: 02 09 2021
revised: 01 10 2021
accepted: 19 10 2021
entrez: 13 11 2021
pubmed: 14 11 2021
medline: 14 11 2021
Statut: epublish

Résumé

This study aims to validate GATE and GGEMS simulation toolkits for brachytherapy applications and to provide accurate models for six commercial brachytherapy seeds, which will be freely available for research purposes. The AAPM TG-43 guidelines were used for the validation of two Low Dose Rate (LDR), three High Dose Rate (HDR), and one Pulsed Dose Rate (PDR) brachytherapy seeds. Each seed was represented as a 3D model and then simulated in GATE to produce one single Phase-Space (PHSP) per seed. To test the validity of the simulations' outcome, referenced data (provided by the TG-43) was compared with GATE results. Next, validation of the GGEMS toolkit was achieved by comparing its outcome with the GATE MC simulations, incorporating clinical data. The simulation outcomes on the radial dose function (RDF), anisotropy function (AF), and dose rate constant (DRC) for the six commercial seeds were compared with TG-43 values. The statistical uncertainty was limited to 1% for RDF, to 6% (maximum) for AF, and to 2.7% (maximum) for the DRC. GGEMS provided a good agreement with GATE when compared in different situations: (a) Homogeneous water sphere, (b) heterogeneous CT phantom, and (c) a realistic clinical case. In addition, GGEMS has the advantage of very fast simulations. For the clinical case, where TG-186 guidelines were considered, GATE required 1 h for the simulation while GGEMS needed 162 s to reach the same statistical uncertainty. This study produced accurate models and simulations of their emitted spectrum of commonly used commercial brachytherapy seeds which are freely available to the scientific community. Furthermore, GGEMS was validated as an MC GPU based tool for brachytherapy. More research is deemed necessary for the expansion of brachytherapy seed modeling.

Identifiants

pubmed: 34771479
pii: cancers13215315
doi: 10.3390/cancers13215315
pmc: PMC8582469
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Horizon 2020
ID : 872735

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Auteurs

Konstantinos P Chatzipapas (KP)

3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, 26504 Rion, Greece.

Dimitris Plachouris (D)

3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, 26504 Rion, Greece.

Panagiotis Papadimitroulas (P)

Bioemission Technology Solutions (BIOEMTECH), 15343 Athens, Greece.

Konstantinos A Mountris (KA)

Aragon Institute of Engineering Research, IIS Aragon, University of Zaragoza, 50018 Zaragoza, Spain.

Julien Bert (J)

LaTIM, INSERM, UMR1101, Camille Desmoulins Av. 22, 29200 Brest, France.

Dimitris Visvikis (D)

LaTIM, INSERM, UMR1101, Camille Desmoulins Av. 22, 29200 Brest, France.

Dimitris Mihailidis (D)

Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.

George C Kagadis (GC)

3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, 26504 Rion, Greece.

Classifications MeSH