Literature DB >> 30609382

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

J Schuemann1, A L McNamara1, J Ramos-Méndez2, J Perl3, K D Held1, H Paganetti1, S Incerti4,5, B Faddegon2.   

Abstract

The TOPAS Monte Carlo (MC) system is used in radiation therapy and medical imaging research, having played a significant role in making Monte Carlo simulations widely available for proton therapy related research. While TOPAS provides detailed simulations of patient scale properties, the fundamental unit of the biological response to radiation is a cell. Thus, our goal was to develop TOPAS-nBio, an extension of TOPAS dedicated to advance understanding of radiobiological effects at the (sub-)cellular, (i.e., the cellular and sub-cellular) scale. TOPAS-nBio was designed as a set of open source classes that extends TOPAS to model radiobiological experiments. TOPAS-nBio is based on and extends Geant4-DNA, which extends the Geant4 toolkit, the basis of TOPAS, to include very low-energy interactions of particles down to vibrational energies, explicitly simulates every particle interaction (i.e., without using condensed histories) and propagates radiolysis products. To further facilitate the use of TOPAS-nBio, a graphical user interface was developed. TOPAS-nBio offers full track-structure Monte Carlo simulations, integration of chemical reactions within the first millisecond, an extensive catalogue of specialized cell geometries as well as sub-cellular structures such as DNA and mitochondria, and interfaces to mechanistic models of DNA repair kinetics. We compared TOPAS-nBio simulations to measured and published data of energy deposition patterns and chemical reaction rates (G values). Our simulations agreed well within the experimental uncertainties. Additionally, we expanded the chemical reactions and species provided in Geant4-DNA and developed a new method based on independent reaction times (IRT), including a total of 72 reactions classified into 6 types between neutral and charged species. Chemical stage simulations using IRT were a factor of 145 faster than with step-by-step tracking. Finally, we applied the geometric/chemical modeling to obtain initial yields of double-strand breaks (DSBs) in DNA fibers for proton irradiations of 3 and 50 MeV and compared the effect of including chemical reactions on the number and complexity of DSB induction. Over half of the DSBs were found to include chemical reactions with approximately 5% of DSBs caused only by chemical reactions. In conclusion, the TOPAS-nBio extension to the TOPAS MC application offers access to accurate and detailed multiscale simulations, from a macroscopic description of the radiation field to microscopic description of biological outcome for selected cells. TOPAS-nBio offers detailed physics and chemistry simulations of radiobiological experiments on cells simulating the initially induced damage and links to models of DNA repair kinetics.

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Year:  2019        PMID: 30609382      PMCID: PMC6377808          DOI: 10.1667/RR15226.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  47 in total

1.  Monte Carlo simulation of energy-deposit clustering for ions of the same LET in liquid water.

Authors:  Z Francis; S Incerti; V Ivanchenko; C Champion; M Karamitros; M A Bernal; Z El Bitar
Journal:  Phys Med Biol       Date:  2012-01-07       Impact factor: 3.609

2.  A method to adjust radiation dose-response relationships for clinical risk factors.

Authors:  Ane L Appelt; Ivan R Vogelius
Journal:  Radiother Oncol       Date:  2011-10-06       Impact factor: 6.280

Review 3.  The influence of heterochromatin on DNA double strand break repair: Getting the strong, silent type to relax.

Authors:  Aaron A Goodarzi; Penny Jeggo; Markus Lobrich
Journal:  DNA Repair (Amst)       Date:  2010-10-30

4.  Simulation of DNA damage clustering after proton irradiation using an adapted DBSCAN algorithm.

Authors:  Ziad Francis; Carmen Villagrasa; Isabelle Clairand
Journal:  Comput Methods Programs Biomed       Date:  2011-01-12       Impact factor: 5.428

5.  Calculation of initial yields of single- and double-strand breaks in cell nuclei from electrons, protons and alpha particles.

Authors:  D E Charlton; H Nikjoo; J L Humm
Journal:  Int J Radiat Biol       Date:  1989-07       Impact factor: 2.694

6.  Time-dependent radiolytic yield of OH• radical studied by picosecond pulse radiolysis.

Authors:  Abdel Karim El Omar; Uli Schmidhammer; Pierre Jeunesse; Jean-Philippe Larbre; Mingzhang Lin; Yusa Muroya; Yosuke Katsumura; Pascal Pernot; Mehran Mostafavi
Journal:  J Phys Chem A       Date:  2011-10-13       Impact factor: 2.781

7.  Experimental validation of the TOPAS Monte Carlo system for passive scattering proton therapy.

Authors:  M Testa; J Schümann; H-M Lu; J Shin; B Faddegon; J Perl; H Paganetti
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

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.  Efficient voxel navigation for proton therapy dose calculation in TOPAS and Geant4.

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

10.  Comprehensive track-structure based evaluation of DNA damage by light ions from radiotherapy-relevant energies down to stopping.

Authors:  W Friedland; E Schmitt; P Kundrát; M Dingfelder; G Baiocco; S Barbieri; A Ottolenghi
Journal:  Sci Rep       Date:  2017-03-27       Impact factor: 4.379

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  33 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.  Intercomparison of dose enhancement ratio and secondary electron spectra for gold nanoparticles irradiated by X-rays calculated using multiple Monte Carlo simulation codes.

Authors:  W B Li; A Belchior; M Beuve; Y Z Chen; S Di Maria; W Friedland; B Gervais; B Heide; N Hocine; A Ipatov; A P Klapproth; C Y Li; J L Li; G Multhoff; F Poignant; R Qiu; H Rabus; B Rudek; J Schuemann; S Stangl; E Testa; C Villagrasa; W Z Xie; Y B Zhang
Journal:  Phys Med       Date:  2020-01-06       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.  The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research.

Authors:  Bruce Faddegon; José Ramos-Méndez; Jan Schuemann; Aimee McNamara; Jungwook Shin; Joseph Perl; Harald Paganetti
Journal:  Phys Med       Date:  2020-04-03       Impact factor: 2.685

8.  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

9.  Modulation of nanoparticle uptake, intracellular distribution, and retention with docetaxel to enhance radiotherapy.

Authors:  Aaron Henry Bannister; Kyle Bromma; Wonmo Sung; Mesa Monica; Leah Cicon; Perry Howard; Robert L Chow; Jan Schuemann; Devika Basnagge Chithrani
Journal:  Br J Radiol       Date:  2019-12-12       Impact factor: 3.039

10.  Challenges in the quantification approach to a radiation relevant adverse outcome pathway for lung cancer.

Authors:  Robert Stainforth; Jan Schuemann; Aimee L McNamara; Ruth C Wilkins; Vinita Chauhan
Journal:  Int J Radiat Biol       Date:  2020-09-30       Impact factor: 2.694

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