A method to implement inter-track interactions in Monte Carlo simulations with TOPAS-nBio and their influence on simulated radical yields following water radiolysis Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1088/1361-6560/acdc7d
Objective. In FLASH radiotherapy (dose rates ≥40 Gy s −1 ), a reduced normal tissue toxicity has been observed, while maintaining the same tumor control compared to conventional radiotherapy (dose rates ≤0.03 Gy s −1 ). This protecting effect could not be fully explained yet. One assumption is that interactions between the chemicals of different primary ionizing particles, so-called inter-track interactions, trigger this outcome. In this work, we included inter-track interactions in Monte Carlo track structure simulations and investigated the yield of chemicals ( G -value) produced by ionizing particles. Approach. For the simulations, we used the Monte Carlo toolkit TOPAS, in which inter-track interactions cannot be implemented without further effort. Thus, we developed a method enabling the simultaneous simulation of N original histories in one event allowing chemical species to interact with each other. To investigate the effect of inter-track interactions we analyzed the G -value of different chemicals using various radiation sources. We used electrons with an energy of 60 eV in different spatial arrangements as well as a 10 MeV and 100 MeV proton source. For electrons we set N between 1 and 60, for protons between 1 and 100. Main results. In all simulations, the total G -value decreases with increasing N . In detail, the G -value for • OH , H 3 O and e aq decreases with increasing N , whereas the G -value of OH − , H 2 O 2 and H 2 increases slightly. The reason is that with increasing N , the concentration of chemical radicals increases allowing for more chemical reactions between the radicals resulting in a change of the dynamics of the chemical stage. Significance. Inter-track interactions resulting in a variation of the yield of chemical species, may be a factor explaining the FLASH effect. To verify this hypothesis, further simulations are necessary in order to evaluate the impact of varying G -values on the yield of DNA damages.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1361-6560/acdc7d
- OA Status
- hybrid
- Cited By
- 14
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4379745127
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4379745127Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1361-6560/acdc7dDigital Object Identifier
- Title
-
A method to implement inter-track interactions in Monte Carlo simulations with TOPAS-nBio and their influence on simulated radical yields following water radiolysisWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-06-07Full publication date if available
- Authors
-
Larissa Derksen, Veronika Flatten, Rita Engenhart‐Cabillic, Klemens Zink, Kilian‐Simon BaumannList of authors in order
- Landing page
-
https://doi.org/10.1088/1361-6560/acdc7dPublisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1361-6560/acdc7dDirect OA link when available
- Concepts
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Monte Carlo method, Proton, Track (disk drive), Ionizing radiation, Radiolysis, Electron, Radiation, Yield (engineering), Physics, Range (aeronautics), Secondary electrons, Materials science, Computational physics, Computer science, Chemistry, Irradiation, Nuclear physics, Mathematics, Statistics, Thermodynamics, Operating system, Composite materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
- Citations by year (recent)
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2025: 10, 2024: 4Per-year citation counts (last 5 years)
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66Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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