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. 2022 Feb 2;12(1):1779.
doi: 10.1038/s41598-022-05748-0.

Comparing Geant4 physics models for proton-induced dose deposition and radiolysis enhancement from a gold nanoparticle

Affiliations

Comparing Geant4 physics models for proton-induced dose deposition and radiolysis enhancement from a gold nanoparticle

Saeed Rajabpour et al. Sci Rep. .

Abstract

Gold nanoparticles (GNPs) are materials that make the tumor cells more radiosensitive when irradiated with ionizing radiation. The present study aimed to evaluate the impact of different physical interaction models on the dose calculations and radiochemical results around the GNP. By applying the Geant4 Monte Carlo (MC) toolkit, a single 50-nm GNP was simulated, which was immersed in a water phantom and irradiated with 5, 50, and 150 MeV proton beams. The present work assessed various parameters including the secondary electron spectra, secondary photon spectra, radial dose distribution (RDD), dose enhancement factor (DEF), and radiochemical yields around the GNP. The results with an acceptable statistical uncertainty of less than 1% indicated that low-energy electrons deriving from the ionization process formed a significant part of the total number of secondary particles generated in the presence of GNP; the Penelope model produced a larger number of these electrons by a factor of about 30%. Discrepancies of the secondary electron spectrum between Livermore and Penelope were more obvious at energies of less than 1 keV and reached the factor of about 30% at energies between 250 eV and 1 keV. The RDDs for Livermore and Penelope models were very similar with small variations within the first 6 nm from NP surface by a factor of 10%. In addition, neither the G-value nor the REF was affected by the choice of physical interaction models with the same energy cut-off. This work illustrated the similarity of the Livermore and Penelope models (within 15%) available in Geant4 for future simulation studies of GNP enhanced proton therapy with physical, physicochemical, and chemical mechanisms.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Simulation validation: Geant4 and experimental data from Faddegon et al. for the 67.5-MeV protons Bragg curve.
Figure 2
Figure 2
Simulation validation: comparison between the results of our simulation and the simulation by Peukert et al. for time-dependent G-value of hydroxyl radical around the GNP for 50-MeV proton beam.
Figure 3
Figure 3
Comparison of the secondary electron spectra around the GNP between the Livermore and Penelope models obtained for 5, 50, and 150-MeV proton beams.
Figure 4
Figure 4
Comparison of the secondary photon spectra around the GNP between the Livermore and Penelope models obtained for 5, 50, and 150-MeV proton beams.
Figure 5
Figure 5
Comparison of the RDD between the Livermore and Penelope models obtained for 5, 50, and 150-MeV proton beams as a function of radial distance from the GNP surface.
Figure 6
Figure 6
Comparison of the DEF between the Livermore and Penelope models obtained for 5, 50, and 150-MeV proton beams as a function of radial distance from the GNP surface.
Figure 7
Figure 7
Comparison of the G-value (molecules/100 eV) between the Livermore and Penelope models obtained for 5, 50, 150-MeV proton beams as a function of time.
Figure 8
Figure 8
Comparison of the REF between the Livermore and Penelope models obtained for 5, 50, 150-MeV proton beams as a function of time.
Figure 9
Figure 9
(a) Geometry of the Geant4 simulation setup. The parallel proton beams (blue) originating and ending inside the GNP and secondary electron (red) tracks through a 50-nm GNP and the surrounding water medium. (b) Schematic diagram of the simulation geometry and the scoring spherical shells (mesh) calculating the RDD and DEF around the GNP.

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