The Geant4-Dna Project

Incerti, S.; Baldacchino, Gérard; Bernal, Mario A.; Capra, R.; Champion, C.; Francis, Z.; Guèye, P.; Mantero, A.; Mascialino, B.; Moretto, Philippe; Nieminen, P.; Villagrasa, C.; Zacharatou, C.

doi:10.1142/s1793962310000122

Cited by 420 publications

(328 citation statements)

References 18 publications

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“…[11][12][13] The implementation of GNP transport models in Geant4 provides a valuable tool to the community for GNP-related studies, as it benefits from existing developments within the Geant4-DNA low energy extension of the Geant4 toolkit. Geant4-DNA already implements discrete electron, proton and alpha particles transport models in liquid water [14][15][16] as well as modelling the physico-chemical and chemical stages of liquid water radiolysis. 17,18 These features are available to the medical physics community through Geant4 itself, as well as the TOPAS 19 and GATE 20 packages.…”

Section: Introductionmentioning

confidence: 99%

An implementation of discrete electron transport models for gold in the Geant4 simulation toolkit

Sakata

Incerti

Bordage

et al. 2016

Journal of Applied Physics

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Gold nanoparticle (GNP) boosted radiation therapy can enhance the biological effectiveness of radiation treatments by increasing the quantity of direct and indirect radiation-induced cellular damage. As the physical effects of GNP boosted radiotherapy occur across energy scales that descend down to 10 eV, Monte Carlo simulations require discrete physics models down to these very low energies in order to avoid underestimating the absorbed dose and secondary particle generation. Discrete physics models for electron transportation down to 10 eV have been implemented within the Geant4-DNA low energy extension of Geant4. Such models allow the investigation of GNP effects at the nanoscale. At low energies, the new models have better agreement with experimental data on the backscattering coefficient, and they show similar performance for transmission coefficient data as the Livermore and Penelope models already implemented in Geant4. These new models are applicable in simulations focussed towards estimating the relative biological effectiveness of radiation in GNP boosted radiotherapy applications with photon and electron radiation sources. Gold nanoparticle (GNP) boosted radiation therapy can enhance the biological effectiveness of radiation treatments by increasing the quantity of direct and indirect radiation-induced cellular damage. As the physical effects of GNP boosted radiotherapy occur across energy scales that descend down to 10 eV, Monte Carlo simulations require discrete physics models down to these very low energies in order to avoid underestimating the absorbed dose and secondary particle generation. Discrete physics models for electron transportation down to 10 eV have been implemented within the Geant4-DNA low energy extension of Geant4. Such models allow the investigation of GNP effects at the nanoscale. At low energies, the new models have better agreement with experimental data on the backscattering coefficient, and they show similar performance for transmission coefficient data as the Livermore and Penelope models already implemented in Geant4. These new models are applicable in simulations focussed towards estimating the relative biological effectiveness of radiation in GNP boosted radiotherapy applications with photon and electron radiation sources. Published by AIP Publishing. [http://dx

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Section: Introductionmentioning

confidence: 99%

An implementation of discrete electron transport models for gold in the Geant4 simulation toolkit

Sakata

Incerti

Bordage

et al. 2016

Journal of Applied Physics

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“…The Geant4 Monte Carlo simulation toolkit, an open source set of object-oriented libraries 1 *Corresponding author, E-mail: incerti@cenbg.in2p3.fr developed for modeling the passage of particles through matter, covers a large variety of application domains, ranging from high energy physics to space and medical applications. In particular, the Geant4-DNA project, 1,2) an activity of the Geant4 collaboration, aims at providing Geant4 with new open source capabilities specific to radiobiology applications, including the modeling of elementary physical interactions down to the sub-electronVolt scale, liquid water radiolysis and radiation chemistry. The project focuses primarily on the prediction of early direct and non-direct DNA damages up to 1 µs after irradiation.…”

Section: Introductionmentioning

confidence: 99%

Modeling Radiation Chemistry in the Geant4 Toolkit

Karamitros

Mantero

Incerti

et al. 2011

Progress in Nuclear Science and Technology

100

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Simulation of biological effects of ionizing radiation at the DNA scale requires not only the modeling of direct damages induced on DNA by the incident radiation and by secondary particles but also the modeling of indirect effects of radiolytic products resulting from liquid water radiolysis. They can provoke single, double strand breaks and base damage by reacting with DNA. The Geant4 Monte Carlo toolkit is currently being extended for the simulation of biological damages of ionizing radiation at the DNA scale in the framework of the "Geant4-DNA" project. Physics models for the modeling of direct effects are already available in Geant4. In the present paper, an approach for the modeling of radiation chemistry in pure liquid water within Geant4 is presented. In particular, this modeling includes Brownian motion and chemical reactions between molecules following water radiolysis. First results on time-dependent radiochemical yields from 1 picosecond up to 1 microsecond after irradiation are compared to published data and discussed.

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“…In this study the Geant4 Very Low Energy Extension (GEometry ANd Tracking 4) (Chauvie et al 2007;Incerti et al 2010a) for water (otherwise known as Geant4-DNA) was used for all MC simulations as it has the capability of tracking charged particles down to very low energies (a few eV) in the presence of a magnetic field. Geant4 version 9.3 with the Electromagnetic Low Energy package 6.9 (EMLOW6.9) was used for all simulations.…”

Section: Methodsmentioning

confidence: 99%

Effect of a static magnetic field on nanodosimetric quantities in a DNA volume

Lazarakis

Bug

Gargioni

et al. 2011

International Journal of Radiation Biology

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Short title: Effect of a magnetic field on track structure Index Terms: Radiotherapy, nanodosimetry, magnetic field, secondary electrons, Geant4, Monte Carlo, cluster size Abstract Purpose: With the advent of MRI (magnetic resonance imaging) guided radiation therapy it is becoming increasingly important to consider the potential influence of a magnetic field on ionising radiation. This paper aims to study the effect of a magnetic field on the track structure of radiation to determine if the biological effectiveness may be altered.Methods: Using the Geant4-DNA (GEometry ANd Tracking 4) Monte Carlo simulation toolkit, nanodosimetric track structure parameters were calculated for electrons, protons and alpha particles moving in transverse magnetic fields up to 10 Tesla. Applying the model proposed by Garty et al. the track structure parameters were used to derive the probability of producing a double strand break (DSB).Results: For simulated primary particles of electrons (200 eV -10 keV), protons (300 keV -30 MeV) and alpha particles (1 MeV -9 MeV) the application of a magnetic field was shown to have no significant effect (within statistical uncertainty limits) on the parameters characterising radiation track structure or the probability of producing a DSB.Conclusions: The null result found here implies that if the presence of a magnetic field were to induce a change in the biological effectiveness of radiation, the effect would likely not be due to a change in the track structure of the radiation.

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The Geant4-Dna Project

Cited by 420 publications

References 18 publications

An implementation of discrete electron transport models for gold in the Geant4 simulation toolkit

An implementation of discrete electron transport models for gold in the Geant4 simulation toolkit

Modeling Radiation Chemistry in the Geant4 Toolkit

Effect of a static magnetic field on nanodosimetric quantities in a DNA volume

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