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Area of Science:

  • Medical Physics
  • Radiation Chemistry
  • Computational Biology

Background:

  • FLASH radiotherapy utilizes high dose rates (≥40 Gy/s) with rapid particle pulses (nanoseconds).
  • Intertrack reactions in water radiolysis are stochastic and can influence radiobiology outcomes.
  • Monte Carlo methods are suitable for modeling these complex intertrack effects.

Purpose of the Study:

  • To expand the TOPAS-nBio Monte Carlo code for simulating intertrack effects in water radiolysis.
  • To investigate the impact of intertrack reactions on radiolytic yields over time.
  • To determine the significance of intertrack effects on LET-dependent G values in FLASH irradiation.

Main Methods:

  • Developed TOPAS-nBio code to simulate intertrack effects in water radiolysis.
  • Validated simulations using a Fricke dosimeter irradiated with 60Co γ rays.
  • Calculated LET-dependent G values for protons across various pulse widths (1 ns, 1 µs, 10 µs).

Main Results:

  • Fricke dosimeter simulation showed excellent agreement (within 0.4%) with established values.
  • Intertrack effects were significant for LET values below 2 keV/µm.
  • Above 2 keV/µm, local reaction kinetics limited the impact of intertrack reactions.

Conclusions:

  • Intertrack reactions are significant in water radiolysis under FLASH irradiation conditions, especially at lower LET.
  • The expanded TOPAS-nBio code is a valuable tool for radiobiology research and FLASH experiment design.
  • Considering intertrack reactions is essential for accurate track structure simulations in FLASH radiobiology.