ArticleRadiation research2019
TOPAS-nBio: An Extension to the TOPAS Simulation Toolkit for Cellular and Sub-cellular Radiobiology.
Article in Radiation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.
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Who cites it
97 citing papers in PubMed, 194 citations in OpenAlex.
- A standardized measurement-based approach to estimate modelled relative biological effectiveness for auditing carbon ion beams.Physics and imaging in radiation oncology · 2026Article
- TOPAS-nBio simulation of the impact of ultrahigh dose rate and oxygen concentration on the Fenton reaction using the Fricke solution.Medical physics · 2026Article
- Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026Review
- Evaluation of a new set of Geant4-DNA Physics models for the simulation of electron track structures in liquid water up to 10 MeV.Medical physics · 2026Article
- Evaluation of radiation damage effects of low-energy Auger and conversion electrons emitted byScientific reports · 2026Article
- Ultra-high dose rate dependent modeling of plasmid DNA damage with TOPAS-nBio.Physics in medicine and biology · 2026Article
- Investigation of relative biological effectiveness for protons, carbon and oxygen ion beams by DNA damage calculations in a fractal fibroblast cell geometry.Radiological physics and technology · 2026Article
- Measurements of Hydrogen Peroxide Yields in Ultra-High-Dose-Rate vs. Conventional Radiation.Radiation research · 2026Article
- Contemporary opportunities and potential of Auger electron-emitting theranostics.Theranostics · 2026Review
- Article
- Modelling single cell dosimetry and DNA damage of targeted alpha therapy using Monte-Carlo techniques.Physical and engineering sciences in medicine · 2025Article
- A refined approach to compute nanodosimetric quantities for proton and ion radiotherapy treatment planning.Physics in medicine and biology · 2025Article
- Extending the microdosimetry gamma model (MGM) to estimate induced DNA damage and its complexity at macroscopic scale by protons and helium ions.Physics in medicine and biology · 2025Article
- Evaluation of nanodosimetric quantities for ion radiotherapy treatment planning based on the degree of association of survival with cluster dose.Physics in medicine and biology · 2025Article
- Physicochemical indication of the FLASH effect from shoot-through proton pencil beam scanning parameters delivered under ultra-high dose rates.Physics in medicine and biology · 2025Article
- Framework to calculateMedical physics · 2025Article
- Microdosimetry calculations in situ for clinically relevant photon sources and their correlation with the early DNA damage response.Medical physics · 2025Article
- The role of coating layers in gold nanorods' radioenhancement: a Monte Carlo analysis.Nanoscale advances · 2025Article
- TOPAS-nBio-Reg: a regression testing system for track structure simulations in TOPAS-nBio.Physics in medicine and biology · 2025Article
- Effect of FLASH dose-rate and oxygen concentration in the production of HPhysics in medicine and biology · 2025Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.