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March 10, 2026Medical Physics0 citations

A Monte Carlo study of proton LET calculations: Comparison between the codes PENHAN, FLUKA, and TOPAS

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DPD. PuertaMAM. AnguianoWGW. González

Key Points

  • Investigate variability in linear energy transfer (LET) results across different Monte Carlo codes.
  • Intercomparison of LET results using PENHAN, FLUKA, and TOPAS codes.
  • Evaluation of track‐averaged and dose‐averaged LET under various irradiation configurations.
  • Inclusion of experimental data for validation of Monte Carlo simulations.
  • Discrepancies in LET calculations were linked to stopping powers and nuclear interactions.
  • Primary proton calculations showed strong agreement with experimental LET measurements.
  • PENHAN demonstrated greater consistency and robustness across tested codes for LET-based planning.

Abstract

Abstract Background Linear energy transfer (LET) is frequently used to characterize radiation quality in proton therapy and is an important quantity for radiobiological modeling. However, LET calculations can, in principle, vary between Monte Carlo (MC) codes, affecting consistency in treatment planning and relative biological effectiveness (RBE) estimation. Purpose This study aims to investigate the variability of LET results when using different MC codes. Methods An intercomparison of LET results was performed using penhan , topas MC, and CERN fluka , together with recently published experimental data. Track‐averaged () and dose‐averaged () LET were evaluated under different irradiation configurations, including pencil and broad beams, with and without nuclear reactions. Results The results obtained indicate that discrepancies in LET calculations are primarily linked to the choice of stopping powers and the handling of nuclear interactions. Calculations considering only primary protons exhibited great agreement with recent experimental LET measurements, validating our simulations. Conclusions showed higher robustness and consistency across codes, suggesting it as potentially a more reliable metric for LET‐based treatment planning and RBE modeling. Our findings emphasize the importance of consistent LET calculations, result reporting, and code benchmarking in proton therapy calculations.

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Cite This Study

Puerta et al. (2026) studied this question.

synapsesocial.com/papers/69af95cf70916d39fea4dd6fhttps://doi.org/10.1002/mp.70378
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