Heterogeneous multiscale Monte Carlo simulations for gold nanoparticle radiosensitization
Martin P. Martinov, Rowan M. Thomson

TL;DR
This paper introduces a heterogeneous multiscale Monte Carlo model for simulating gold nanoparticle-enhanced radiation therapy, improving efficiency and accuracy by combining different detail levels within a single simulation framework.
Contribution
The paper presents the HetMS model implemented in EGSnrc, enabling efficient multiscale Monte Carlo simulations for GNPT with significant computational speedups.
Findings
DEFs are sensitive to source energy and distance, with values below unity at certain energies.
HetMS approach enhances simulation efficiency by up to 122 times compared to traditional methods.
The model captures both macroscopic and microscopic effects in dose calculations.
Abstract
To introduce the heterogeneous multiscale (HetMS) model for Monte Carlo simulations of gold nanoparticle dose-enhanced radiation therapy (GNPT), a model characterized by its varying levels of detail on different length scales within a single phantom; to apply the HetMS model in two different scenarios relevant for GNPT and to compare computed results with others published. The HetMS model is implemented in EGSnrc; the code is tested via comparisons with published data from independent gold nanoparticle (GNP) simulations. Two distinct scenarios for the HetMS model are considered: (1) monoenergetic photon beams incident on a large cylinder; (2) isotropic point source at the center of a large sphere with GNPs diffusing from the center. Dose enhancement factors (DEFs) are compared for different source energies, depths, gold concentrations, GNP sizes, and modeling assumptions. Simulation…
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