Energy Deposition and DNA Damage Analysis of Protons and Alpha Particles simulated with FLUKA applied to a cellular model

Authors

  • Victória Raposo IBB - Unesp
  • Joel Mesa Hormaza

DOI:

https://doi.org/10.29384/rbfm.2025.v19.19849001796

Keywords:

microdosimetry, simulation, DNA

Abstract

Microdosimetry is a crucial research area in the development of radiotherapy that aims to understand dose variations at the subcellular level. This work addresses microdosimetry with proton and ion beams, focusing on energy deposition in a cellular geometric model implemented using the Monte Carlo method via FLUKA software. Scenarios were simulated where a proton beam or an alpha particle beam, with energies ranging from 1 to 20 keV, interacted with a simplified cellular model. Detectors were set up to record fluence and energy density in the medium during simulations. The results showed that more particles reached the nucleus as beam energy increased, especially for alpha particles. Energy density analysis revealed that the depth of maximum deposition increases with kinetic energy and was higher for alpha particles. Subsequently, using MCDS (Monte Carlo Damage Simulation) software, dose data from simulations were used to calculate the probability of various DNA damage types—base lesions (BD), single-strand breaks (SSB), and more complex breaks. This study confirmed the effectiveness of the model in simulating microdosimetric effects, highlighting differences in energy deposition and DNA damage between protons and alpha particles. These findings contribute to a better understanding of radiation interactions and the improvement of radiotherapy.

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References

1. Ruysscher D, et al. Radiotherapy toxicity. Nat Rev Dis Primers. 2019;5:1–20.

2. Jiang G. Particle therapy for cancers: a new weapon in radiation therapy. Front Med. 2012;6:165–172.

3. Abolfath R, Carlson D, Chen Z, Nath R. A molecular dynamics simulation of DNA damage induction by ionizing radiation. Phys Med Biol. 2013;58:7143–7157.

4. Durante, M.; FLANZ, J. Charged particle beams to cure cancer: Strengths and challenges. Seminars in Oncology, 2019.

5. Elbast M, et al. Microdosimetry of alpha particles for simple and 3D voxelised geometries using MCNPX and GEANT4 Monte Carlo codes. Radiat Prot Dosimetry. 2012;150(3):342–349.

6. Ferrari A, Sala PR, Fasso A, Ranft J. FLUKA: a multiparticle transport code. CERN-2005-010, SLAC-R-773, INFN-TC-05-11. 2005.

7. de Vera P, Surdutovich E, Abril I, et al. Analytical model of ionization and energy deposition by proton beams in subcellular compartments. Eur Phys J D. 2014;68:96.

8. Semenenko VA, Stewart RD. Fast Monte Carlo simulation of DNA damage formed by electrons and light ions. Phys Med Biol. 2004;49(17):4335–4358.

9. Hunter JD. Matplotlib: a 2D graphics environment. Comput Sci Eng. 2007;9(3): 90–95.

10. Nikjoo H, et al. Radiation track, DNA damage and response—a review. Rep Prog Phys. 2016;79(11): 116601.

11. Taleei R, Rahmanian S, Nikjoo H. Modelling cellular response to ionizing radiation: mechanistic, semimechanistic, and phenomenological approaches, a historical perspective. Radiat Res. 2024; 202(2): 143–160.

Published

2025-07-02

How to Cite

Raposo, V., & Hormaza, J. M. (2025). Energy Deposition and DNA Damage Analysis of Protons and Alpha Particles simulated with FLUKA applied to a cellular model. Brazilian Journal of Medical Physics, 19, 796. https://doi.org/10.29384/rbfm.2025.v19.19849001796

Issue

Section

Artigo Original

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