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Related Experiment Video

Updated: Apr 13, 2026

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Extending TOPAS with an analytical microdosimetric function: application and benchmarking with nBio track structure

Shannon Hartzell1, Alessio Parisi1, Tatsuhiko Sato2,3

  • 1Division of Medical Physics, Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL 32224, United States of America.

Physics in Medicine and Biology
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Summary

The analytical microdosimetric function (AMF) integrated into TOPAS offers a computationally efficient method for calculating radiation dose metrics. This advancement significantly speeds up simulations for particle therapy, improving accuracy for radiobiological modeling.

Keywords:
Geant4-DNATopas-nBioanalytical microdosimetric functionmicrodosimetrytrack structure

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Area of Science:

  • Medical Physics
  • Radiation Biology
  • Computational Science

Background:

  • Accurate microdosimetric distributions are crucial for understanding the biological effects of ionizing radiation in applications like ion therapy.
  • Traditional track structure simulations, while accurate, are computationally intensive, limiting their use in clinical settings.
  • The analytical microdosimetric function (AMF) provides a computationally efficient method to approximate track structure simulation results.

Purpose of the Study:

  • To implement the analytical microdosimetric function (AMF) within the TOPAS (Tool for Particle Therapy) platform.
  • To enable efficient calculation of microdosimetric spectra and radiobiological metrics, such as dose-mean lineal energy (y¯D) and relative biological effectiveness (RBE).
  • To benchmark the AMF implementation against established track structure simulations for various ions and clinical scenarios.

Main Methods:

  • The AMF was integrated into the OpenTOPAS (v4.0.0) platform.
  • Simulations were performed for ions relevant to radiotherapy and space exploration (e.g., 1H, 4He, 12C, 56Fe).
  • The AMF results were compared with TOPAS-nBio track structure simulations at various depths within a carbon spread-out Bragg peak (SOBP).

Main Results:

  • The AMF extension in TOPAS showed reasonable agreement with TOPAS-nBio simulations, with average discrepancies under 10% for microdosimetric spectra and derived metrics (y¯D, RBE).
  • Relative biological effectiveness (RBE) calculations using both methods agreed within 5% in a carbon SOBP.
  • AMF simulations achieved over 98% reduction in computation time compared to TOPAS-nBio at discrete depths within an SOBP.

Conclusions:

  • The AMF extension in TOPAS provides a computationally efficient and accurate alternative to track structure simulations for microdosimetric analysis.
  • This integration facilitates rapid and precise calculations of radiobiological metrics, essential for advancing particle therapy research.
  • The tool supports the integration of advanced RBE models, crucial for clinical treatment planning and optimization.