Literature DB >> 29697057

Monte Carlo simulation of chemistry following radiolysis with TOPAS-nBio.

J Ramos-Méndez1, J Perl, J Schuemann, A McNamara, H Paganetti, B Faddegon.   

Abstract

Simulation of water radiolysis and the subsequent chemistry provides important information on the effect of ionizing radiation on biological material. The Geant4 Monte Carlo toolkit has added chemical processes via the Geant4-DNA project. The TOPAS tool simplifies the modeling of complex radiotherapy applications with Geant4 without requiring advanced computational skills, extending the pool of users. Thus, a new extension to TOPAS, TOPAS-nBio, is under development to facilitate the configuration of track-structure simulations as well as water radiolysis simulations with Geant4-DNA for radiobiological studies. In this work, radiolysis simulations were implemented in TOPAS-nBio. Users may now easily add chemical species and their reactions, and set parameters including branching ratios, dissociation schemes, diffusion coefficients, and reaction rates. In addition, parameters for the chemical stage were re-evaluated and updated from those used by default in Geant4-DNA to improve the accuracy of chemical yields. Simulation results of time-dependent and LET-dependent primary yields Gx (chemical species per 100 eV deposited) produced at neutral pH and 25 °C by short track-segments of charged particles were compared to published measurements. The LET range was 0.05-230 keV µm-1. The calculated Gx values for electrons satisfied the material balance equation within 0.3%, similar for protons albeit with long calculation time. A smaller geometry was used to speed up proton and alpha simulations, with an acceptable difference in the balance equation of 1.3%. Available experimental data of time-dependent G-values for [Formula: see text] agreed with simulated results within 7%  ±  8% over the entire time range; for [Formula: see text] over the full time range within 3%  ±  4%; for H2O2 from 49%  ±  7% at earliest stages and 3%  ±  12% at saturation. For the LET-dependent Gx, the mean ratios to the experimental data were 1.11  ±  0.98, 1.21  ±  1.11, 1.05  ±  0.52, 1.23  ±  0.59 and 1.49  ±  0.63 (1 standard deviation) for [Formula: see text], [Formula: see text], H2, H2O2 and [Formula: see text], respectively. In conclusion, radiolysis and subsequent chemistry with Geant4-DNA has been successfully incorporated in TOPAS-nBio. Results are in reasonable agreement with published measured and simulated data.

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Year:  2018        PMID: 29697057      PMCID: PMC6027650          DOI: 10.1088/1361-6560/aac04c

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  22 in total

1.  Stochastic aspects and uncertainties in the prechemical and chemical stages of electron tracks in liquid water: a quantitative analysis based on Monte Carlo simulations.

Authors:  F Ballarini; M Biaggi; M Merzagora; A Ottolenghi; M Dingfelder; W Friedland; P Jacob; H G Paretzke
Journal:  Radiat Environ Biophys       Date:  2000-09       Impact factor: 1.925

2.  Molecular product and free radical yields in the decomposition of water by protons, deuterons, and helium ions.

Authors:  A R ANDERSON; E J HART
Journal:  Radiat Res       Date:  1961-06       Impact factor: 2.841

Review 3.  Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit.

Authors:  M A Bernal; M C Bordage; J M C Brown; M Davídková; E Delage; Z El Bitar; S A Enger; Z Francis; S Guatelli; V N Ivanchenko; M Karamitros; I Kyriakou; L Maigne; S Meylan; K Murakami; S Okada; H Payno; Y Perrot; I Petrovic; Q T Pham; A Ristic-Fira; T Sasaki; V Štěpán; H N Tran; C Villagrasa; S Incerti
Journal:  Phys Med       Date:  2015-12-01       Impact factor: 2.685

4.  Radiation chemistry.

Authors:  M BURTON
Journal:  J Phys Colloid Chem       Date:  1947-03

5.  Comparison of linear energy transfer scoring techniques in Monte Carlo simulations of proton beams.

Authors:  Dal A Granville; Gabriel O Sawakuchi
Journal:  Phys Med Biol       Date:  2015-07-06       Impact factor: 3.609

6.  TOPAS: an innovative proton Monte Carlo platform for research and clinical applications.

Authors:  J Perl; J Shin; J Schumann; B Faddegon; H Paganetti
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

7.  A Monte Carlo study for the calculation of the average linear energy transfer (LET) distributions for a clinical proton beam line and a radiobiological carbon ion beam line.

Authors:  F Romano; G A P Cirrone; G Cuttone; F Di Rosa; S E Mazzaglia; I Petrovic; A Ristic Fira; A Varisano
Journal:  Phys Med Biol       Date:  2014-05-15       Impact factor: 3.609

8.  Validation of the radiobiology toolkit TOPAS-nBio in simple DNA geometries.

Authors:  Aimee McNamara; Changran Geng; Robert Turner; Jose Ramos Mendez; Joseph Perl; Kathryn Held; Bruce Faddegon; Harald Paganetti; Jan Schuemann
Journal:  Phys Med       Date:  2016-12-22       Impact factor: 2.685

9.  Effect of electron energy on the radiation chemistry of liquid water.

Authors:  S M Pimblott; J A LaVerne
Journal:  Radiat Res       Date:  1998-08       Impact factor: 2.841

10.  A modular method to handle multiple time-dependent quantities in Monte Carlo simulations.

Authors:  J Shin; J Perl; J Schümann; H Paganetti; B A Faddegon
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

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  18 in total

1.  Independent reaction times method in Geant4-DNA: Implementation and performance.

Authors:  José Ramos-Méndez; Wook-Geun Shin; Mathieu Karamitros; Jorge Domínguez-Kondo; Ngoc Hoang Tran; Sebastien Incerti; Carmen Villagrasa; Yann Perrot; Václav Štěpán; Shogo Okada; Eduardo Moreno-Barbosa; Bruce Faddegon
Journal:  Med Phys       Date:  2020-10-15       Impact factor: 4.071

2.  A parameter sensitivity study for simulating DNA damage after proton irradiation using TOPAS-nBio.

Authors:  Hongyu Zhu; Aimee L McNamara; Jose Ramos-Mendez; Stephen J McMahon; Nicholas T Henthorn; Bruce Faddegon; Kathryn D Held; Joseph Perl; Junli Li; Harald Paganetti; Jan Schuemann
Journal:  Phys Med Biol       Date:  2020-04-23       Impact factor: 3.609

Review 3.  Modelling variable proton relative biological effectiveness for treatment planning.

Authors:  Aimee McNamara; Henning Willers; Harald Paganetti
Journal:  Br J Radiol       Date:  2019-11-18       Impact factor: 3.039

4.  Cellular Response to Proton Irradiation: A Simulation Study with TOPAS-nBio.

Authors:  Hongyu Zhu; Aimee L McNamara; Stephen J McMahon; Jose Ramos-Mendez; Nicholas T Henthorn; Bruce Faddegon; Kathryn D Held; Joseph Perl; Junli Li; Harald Paganetti; Jan Schuemann
Journal:  Radiat Res       Date:  2020-07-08       Impact factor: 2.841

5.  Monte Carlo Processing on a Chip (MCoaC)-preliminary experiments toward the realization of optimal-hardware for TOPAS/Geant4 to drive discovery.

Authors:  Yogindra S Abhyankar; Sachin Dev; O S Sarun; Amit Saxena; Rajendra Joshi; Hemant Darbari; C Sajish; U B Sonavane; Vivek Gavane; Abhay Deshpande; Tanuja Dixit; Rajesh Harsh; Rajendra Badwe; G K Rath; Siddhartha Laskar; Bruce Faddegon; Joseph Perl; Harald Paganetti; Jan Schuemann; Anil Srivastava; Ceferino Obcemea; Asheet K Nath; Ashok Sharma; Jeffrey Buchsbaum
Journal:  Phys Med       Date:  2019-07-16       Impact factor: 2.685

6.  Monte Carlo track-structure for the radionuclide Copper-64: characterization of S-values, nanodosimetry and quantification of direct damage to DNA.

Authors:  J Carrasco-Hernández; J Ramos-Méndez; B Faddegon; A R Jalilian; M Moranchel; M A Ávila-Rodríguez
Journal:  Phys Med Biol       Date:  2020-07-27       Impact factor: 3.609

7.  TOPAS-nBio: An Extension to the TOPAS Simulation Toolkit for Cellular and Sub-cellular Radiobiology.

Authors:  J Schuemann; A L McNamara; J Ramos-Méndez; J Perl; K D Held; H Paganetti; S Incerti; B Faddegon
Journal:  Radiat Res       Date:  2019-01-04       Impact factor: 2.841

8.  Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit.

Authors:  Aimee L McNamara; José Ramos-Méndez; Joseph Perl; Kathryn Held; Naoki Dominguez; Eduardo Moreno; Nicholas T Henthorn; Karen J Kirkby; Sylvain Meylan; Carmen Villagrasa; Sebastien Incerti; Bruce Faddegon; Harald Paganetti; Jan Schuemann
Journal:  Phys Med Biol       Date:  2018-09-06       Impact factor: 3.609

9.  Modulation of gold nanoparticle mediated radiation dose enhancement through synchronization of breast tumor cell population.

Authors:  Kristy Rieck; Kyle Bromma; Wonmo Sung; Aaron Bannister; Jan Schuemann; Devika Basnagge Chithrani
Journal:  Br J Radiol       Date:  2019-07-02       Impact factor: 3.039

10.  Fast calculation of nanodosimetric quantities in treatment planning of proton and ion therapy.

Authors:  José Ramos-Méndez; Lucas N Burigo; Reinhard Schulte; Cynthia Chuang; Bruce Faddegon
Journal:  Phys Med Biol       Date:  2018-11-28       Impact factor: 3.609

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