Technical Note: GATE-RTion: a GATE/Geant4 release for clinical applications in scanned ion beam therapy.

GATE Geant4 Independent dose calculation Monte Carlo simulation clinical ion beam therapy

Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 20 12 2019
revised: 15 04 2020
accepted: 03 05 2020
pubmed: 19 5 2020
medline: 15 5 2021
entrez: 19 5 2020
Statut: ppublish

Résumé

GATE-RTion is a validated version of GATE for clinical use in the field of light ion beam therapy. This paper describes the GATE-RTion project and illustrates its potential through clinical applications developed in three European centers delivering scanned proton and carbon ion treatments. GATE-RTion is a collaborative framework provided by the OpenGATE collaboration. It contains a validated GATE release based on a specific Geant4 version, a set of tools to integrate GATE into a clinical environment and a network for clinical users. Three applications are presented: Proton radiography at the Centre Antoine Lacassagne (Nice, France); Independent dose calculation for proton therapy at the Christie NHS Foundation Trust (Manchester, UK); Independent dose calculation for protons and carbon ions at the MedAustron Ion Therapy center (Wiener Neustadt, Austria). GATE-RTion builds the bridge between researchers and clinical users from the OpenGATE collaboration in the field of Light Ion Beam Therapy. The applications presented in three European facilities using three completely different machines (three different vendors, cyclotron- and synchrotron-based systems, protons, and carbon ions) demonstrate the relevance and versatility of this project.

Identifiants

pubmed: 32422684
doi: 10.1002/mp.14242
doi:

Substances chimiques

Protons 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3675-3681

Subventions

Organisme : Bundesministerium für Verkehr, Innovation und Technologie (BMVIT)
Organisme : Bundesministerium für Wissenschaft, Forschung und Wirtschaft (BMWFW)
Organisme : Österreichische Forschungsförderungsgesellschaft (FFG)
Organisme : Science and Technology Facilities Council (STFC)
ID : ST/N002423/1
Organisme : ACMIT Gmbh
Organisme : Medical University of Vienna
Organisme : MedAustron
Organisme : Austrian Funding Agency
Organisme : SIRIC LYriCAN
ID : INCa-INSERM-DGOS-12563
Organisme : LABEX PRIMES
ID : ANR-11-LABX-0063
Organisme : Investissements d'Avenir
ID : ANR-11-IDEX-0007

Informations de copyright

© 2020 American Association of Physicists in Medicine.

Références

Allison J, Amako K, Apostolakis J, et al. Recent developments in GEANT4. Nucl Instruments Methods Phys Res Sect A Accel Spectrom Detect Assoc Equip. 2016;835:186-225.
Jan S, Santin G, Strul D, et al. GATE: a simulation toolkit for PET and SPECT. Phys Med Biol. 2004;49:4543. http://stacks.iop.org/0031-9155/49/i=19/a=007.
Jan S, Benoit D, Becheva E, et al. GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy. Phys Med Biol. 2011;56:881-901.
Grevillot L, Frisson T, Maneval D, Zahra N, Badel J-N, Sarrut D. Simulation of a 6 MV Elekta Precise Linac photon beam using GATE/GEANT4. Phys Med Biol. 2011;56:903-918.
Jan S, Frisson T, Sarrut D. GATE simulation of 12C hadrontherapy treatment combined with a PET imaging system for dose monitoring: a feasibility study. IEEE Trans Nucl Sci. 2013;60:423-429.
Moyers MF, Vatnitsky SM. Practical implementation of light ion beamtreatments. Medical Physics Publishing; 2012.
ICRU. International Commission on Radiation Units and Measurements report 78: prescribing and recording and and reporting proton-beam therapy: contents. J ICRU. 2007;7:210.
Grevillot L, Osorio Moreno J, Letellier V, et al. Clinical implementation and commissioning of the MedAustron particle therapy accelerator for non-isocentric scanned proton beam treatments. Med Phys. 2019;47:380-392.
Robert C, Dedes G, Battistoni G, et al. Distributions of secondary particles in proton and carbon-ion therapy: a comparison between GATE/Geant4 and FLUKA Monte Carlo codes. Phys Med Biol. 2013;58:2879-2899.
Robert C, Fourrier N, Sarrut D, et al. PET-based dose delivery verification in proton therapy: a GATE based simulation study of five PET system designs in clinical conditions. Phys Med Biol. 2013;58:6867-6885.
Sarrut D, Bardiès M, Boussion N, et al. A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications. Med Phys. 2014;41:064301.
Paganetti H, Jiang H, Lee SY, Kooy HM. Accurate Monte Carlo simulations for nozzle design and commissioning and quality assurance for a proton radiation therapy facility. Med Phys. 2004;31:2107-2118.
Paganetti H, Jiang H, Parodi K, Slopsema R, Engelsman M. Clinical implementation of full Monte Carlo dose calculation in proton beam therapy. Phys Med Biol. 2008;53:4825-4853.
Parodi K, Paganetti H, Cascio E, et al. PET/CT imaging for treatment verification after proton therapy: a study with plastic phantoms and metallic implants. Med Phys. 2007;34:419-435.
Parodi K, Ferrari A, Sommerer F, Paganetti H. Clinical CT-based calculations of dose and positron emitter distributions in proton therapy using the FLUKA Monte Carlo code. Phys Med Biol. 2007;52:3369-3387.
Parodi K, Mairani A, Brons S, et al. Monte Carlo simulations to support start-up and treatment planning of scanned proton and carbon ion therapy at a synchrotron-based facility. Phys Med Biol. 2012;57:3759-3784.
Ardenfors O, Dasu A, Kopeć M, Gudowska I. Modelling of a proton spot scanning system using MCNP6. J Phys Conf Ser. 2017;860:012025.
Bassler N, Hansen DC, Lühr A, Thomsen B, Petersen JB, Sobolevsky N. SHIELD-HIT12A - a Monte Carlo particle transport program for ion therapy research. J Phys Conf Ser. 2014;489:8-13.
Sato T, Niita K, Matsuda N, et al. Overview of the PHITS code and its application to medical physics. Prog Nucl Sci Technol. 2014;4:879-882.
Goma C, Safai S, Voros S. Reference dosimetry of proton pencil beams based on dose-area product: a proof of concept. Phys Med Biol. 2017;62:4991-5005.
Akagi T, Aso T, Iwai G, et al. Geant4-based particle therapy simulation framework for verification of dose distributions in proton therapy facilities. Prog Nucl Sci Technol. 2014;4:896-900.
Perl J, Shin J, Schümann J, Faddegon B, Paganetti H. TOPAS: an innovative proton Monte Carlo platform for research and clinical applications. Med Phys. 2012;39:6818-6837.
Grevillot L, Bertrand D, Dessy F, Freud N, Sarrut D. A Monte Carlo pencil beam scanning model for proton treatment plan simulation using GATE/GEANT4. Phys Med Biol. 2011;56:5203-5219.
Grevillot L, Frisson T, Zahra N, et al. Optimization of GEANT4 settings for proton pencil beam scanning simulations using GATE. Nucl Instrum Methods Phys Res Sect B Beam Interact Mater Atoms. 2010;268:3295-3305.
Grevillot L, Bertrand D, Dessy F, Freud N, Sarrut D. GATE as a GEANT4-based Monte Carlo platform for the evaluation of proton pencil beam scanning treatment plans. Phys Med Biol. 2012;57:4223-4244.
Almhagen E, Boersma DJ, Nyström H, Ahnesjö A. A beam model for focused proton pencil beams. Phys Medica. 2018;52:27-32.
Fuchs H, Grevillot L, Carlino A, et al. Optimizing the MedAustron proton gantry beam delivery: providing nozzle design recommendations based on Gate/Geant4 Monte Carlo simulation. In: PTCOG 55; 2016.
Grevillot L, Stock M, Vatnitsky S. Evaluation of beam delivery and ripple filter design for non-isocentric proton and carbon ion therapy. Phys Med Biol. 2015;60:7985-8005.
Carlino A. Implementation of advanced methodologies in the commissioning of a Light Ion Beam Therapy facility (PhD thesis, Department of Physics and Chemistry, University of Palermo, Italy); 2017.
Saini J, Maes D, Egan A, et al. Dosimetric evaluation of a commercial proton spot scanning Monte-Carlo dose algorithm: comparisons against measurements and simulations. Phys Med Biol. 2017;62:7659-7681.
Fuchs H, Vatnitsky S, Stock M, Georg D.Grevillot L. Evaluation of GATE/Geant4 multiple Coulomb scattering algorithms for a 160 MeV proton beam. Nucl Instrum Methods Phys Res Sect B Beam Interact Mater Atoms. 2017;410:122-126.
Resch AF, Elia A, Fuchs H, et al. Evaluation of electromagnetic and nuclear scattering models in GATE /Geant4 for proton therapy. Med Phys. 2019;46:2444-2456.
Elia A. Characterization of the GATE Monte Carlo platform for nonisocentric treatments and patient specific treatment plan verification at MedAustron (PhD thesis, INSA Lyon, 2019LYSE002); 2019.
Meißner H, Fuchs H, Hirtl A, Reschl C, Stock M. Towards offline PET monitoring of proton therapy at MedAustron. Zeitschrift fßr Medizinische Phys. 2019;29:59-65.
Kleeven W, Abs M, Forton E, et al. The IBA Superconducting Synchrocyclotron Project S2C2. Proc Cyclotrons. 2013;2013:115-119. https://accelconf.web.cern.ch/AccelConf/CYCLOTRONS2013/papers/mo4pb02.pdf
Van de Walle J, Abs M, Conjat M, et al. The S2C2: from source to extraction. Proc Cyclotrons. 2016;2017:285-289. http://accelconf.web.cern.ch/AccelConf/cyclotrons2016/papers/thb01.pdf
Bolst D, Cirrone GAP, Cuttone G, et al. Validation of Geant4 fragmentation for heavy ion therapy. Nucl Instrum Methods Phys Res Sect A Accel Spectrom Detect Assoc Equip. 2017;869:68-75.
Böhlen TT, Cerutti F, Dosanjh M, et al. Benchmarking nuclear models of FLUKA and GEANT4 for carbon ion therapy. Phys Med Biol. 2010;55:5833-5847.
Eaton JW, Bateman D, Hauberg SWR. GNU Octave version 5.1.0 manual: a high-level interactive language for numerical computations; 2019. https://www.gnu.org/software/octave/doc/v5.1.0/
Scholz M, Kellerer AM, Kraft-Weyrather W, Kraft G. Computation of cell survival in heavy ion beams for therapy: the model and its approximation. Radiat Environ Biophys. 1997;36:59-66.
Dedes G, Parodi K. Monte Carlo simulations of particle interactions with tissue in carbon ion therapy. Int J Part Ther. 2015;2:447-458.

Auteurs

L Grevillot (L)

MedAustron Ion Therapy Center, Marie Curie-Straße 5, A-2700, Wiener Neustadt, Austria.

D J Boersma (DJ)

MedAustron Ion Therapy Center, Marie Curie-Straße 5, A-2700, Wiener Neustadt, Austria.
ACMIT Gmbh, Viktor-Kaplan-Straße 2/1, A-2700, Wiener Neustadt, Austria.

H Fuchs (H)

MedAustron Ion Therapy Center, Marie Curie-Straße 5, A-2700, Wiener Neustadt, Austria.
Medical University of Vienna, Vienna, Austria.
Department of Radiation Therapy, Medical University of Vienna/AKH Vienna, Vienna, Austria.

A Aitkenhead (A)

Division of Cancer Sciences, University of Manchester, Manchester Cancer Research Centre, The Christie NHS Foundation Trust, Manchester, UK.

A Elia (A)

MedAustron Ion Therapy Center, Marie Curie-Straße 5, A-2700, Wiener Neustadt, Austria.

M Bolsa (M)

MedAustron Ion Therapy Center, Marie Curie-Straße 5, A-2700, Wiener Neustadt, Austria.

C Winterhalter (C)

Division of Cancer Sciences, University of Manchester, The Christie NHS Foundation Trust, Manchester, UK.

M Vidal (M)

Centre Antoine LACASSAGNE, Université Côte d'Azur - Fédération Claude Lalanne, Nice, France.

S Jan (S)

UMR BioMaps, CEA, CNRS, Inserm, Université Paris-Saclay, 4 place du Général Leclerc, 91401, Orsay, France.

U Pietrzyk (U)

University of Wuppertal, Wuppertal, Germany.

L Maigne (L)

Université Clermont Auvergne, CNRS/IN2P3, Laboratoire de Physique de Clermont, UMR6533, 4 avenue Blaise Pascal TSA 60026 CS, 60026 63178, Aubière cedex, France.

D Sarrut (D)

Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Lyon, France.

Articles similaires

Humans Female Precision Medicine Radiotherapy Planning, Computer-Assisted Breast Neoplasms
Adult Aged Female Humans Male
Humans Pancreatic Neoplasms Proton Therapy Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated
Monte Carlo Method Models, Neurological Neuronal Plasticity Computational Biology Humans

Classifications MeSH