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

J Schuemann1, A L McNamara1, J Ramos-Méndez2

  • 1a Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

Radiation Research
|January 5, 2019
PubMed
Summary
This summary is machine-generated.

TOPAS-nBio enhances Monte Carlo simulations for radiobiology, enabling detailed cellular and sub-cellular analysis of radiation effects. This new tool accurately models DNA damage and chemical reactions, improving understanding of radiation therapy outcomes.

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Area of Science:

  • Medical Physics
  • Radiation Biology
  • Computational Biology

Background:

  • TOPAS Monte Carlo (MC) is crucial for proton therapy research, simulating patient-scale properties.
  • Understanding cellular and sub-cellular responses to radiation is vital for radiobiology.
  • Existing MC tools lack detailed modeling of biological effects at the cellular level.

Purpose of the Study:

  • Develop TOPAS-nBio, an extension of TOPAS for radiobiological research at the cellular and sub-cellular scales.
  • Integrate detailed physics and chemistry simulations for radiobiological experiments.
  • Advance the understanding of radiation-induced DNA damage and repair mechanisms.

Main Methods:

  • Extended TOPAS using Geant4-DNA for low-energy particle interactions and track-structure simulations.
  • Incorporated chemical reactions within the first millisecond and specialized cell geometries.
  • Developed a new Independent Reaction Times (IRT) method for faster chemical stage simulations.
  • Modeled DNA double-strand break (DSB) induction in DNA fibers for proton irradiations.

Main Results:

  • TOPAS-nBio simulations showed good agreement with experimental data for energy deposition and chemical reaction rates.
  • The IRT method accelerated chemical stage simulations by a factor of 145.
  • Over 50% of induced DSBs involved chemical reactions, with 5% solely caused by them.
  • Simulations provided initial yields of DSBs for 3 and 50 MeV proton irradiations.

Conclusions:

  • TOPAS-nBio provides accurate, multiscale simulations from radiation fields to cellular outcomes.
  • The extension facilitates detailed physics and chemistry simulations of radiobiological experiments.
  • TOPAS-nBio aids in understanding initial radiation-induced damage and links to DNA repair models.