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. 2025 Jul;52(7):e17906.
doi: 10.1002/mp.17906. Epub 2025 May 29.

Experimental validation of Geant4 nuclear interaction models in dose calculations of therapeutic carbon ion beams

Affiliations

Experimental validation of Geant4 nuclear interaction models in dose calculations of therapeutic carbon ion beams

Yihan Jia et al. Med Phys. 2025 Jul.

Abstract

Background: The choice of nuclear interaction models in Monte Carlo simulations affects the dose calculation accuracy for light ion beam therapy.

Purpose: This study aimed to evaluate the dose calculation accuracy and simulation time of three GATE-RTiON/Geant4 physics lists for therapeutic carbon ion beams, assessing their suitability for independent dose calculation in patient-specific quality assurance (PSQA).

Methods: The normalized beam models for physics lists QGSP_BIC_HP_EMZ, QGSP_INCLXX_HP_EMZ, and Shielding_EMZ were validated against measurements regarding the accuracy of range, spot size and reference dose. Normalized transversal dose profiles ( D / D m a x $D/D_{max}$ ) and field size factor (FSF) were compared with measurements. The accuracy of simulated target dose in 103 fields (various energies, field sizes, depths, and dose gradient D $\nabla _D$ complexity) of energy-modulated scanned beams was evaluated at 3181 positions. The median of global dose difference m e d ( Δ D ) $med(\Delta _D)$ was calculated at different depth ranges.

Results: The three physics lists with validated beam models showed similar accuracy in D / D m a x $D/D_{max}$ and FSF in the Bragg peak region and proximal depths, while QGSP_INCLXX_HP agreed most closely for D / D m a x $D/D_{max}$ in the fragmentation tail. Accounting for D $\nabla _D$ -related uncertainty, m e d ( Δ D ) $med(\Delta _D)$ remained within ±1.1% for QGSP_INCLXX_HP, while exhibiting an overall increasing trend with depth for QGSP_BIC_HP (up to 2.3%) and a decreasing trend for Shielding (down to -4.1%), respectively. By tuning the number-of-primaries/monitor unit conversion ( k N / MU $k_{\rm N/MU}$ ) as a function of energy, m e d ( Δ D ) $med(\Delta _D)$ of QGSP_BIC_HP was reduced to within ±1.3%, at the cost of reduced accuracy in the simulated reference dose. The simulation time of Shielding was 1.8 times that of QGSP_BIC_HP and 1.5 times that of QGSP_INCLXX_HP.

Conclusions: QGSP_INCLXX_HP demonstrated high dosimetric accuracy in the target region of energy-modulated fields. QGSP_BIC_HP and Shielding showed physics model-related inaccuracies in simulated target dose. Additional k N / MU $k_{\rm N/MU}$ tuning improved their target dose calculation accuracy with a trade-off of reference dose accuracy. The computationally efficient QGSP_INCLXX_HP and QGSP_BIC_HP are viable candidates for dose calculation applications of carbon ion beam therapy, such as in silico PSQA.

Keywords: GATE‐RTiON; Geant4; carbon ion radiotherapy; dosimetric accuracy.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
The measured and simulated IRPD of HBL in water, normalized to the measured dose at 14 mm depth. Each curve is plotted till 1.5R80, with the nominal energy (MeV/u) marked above the Bragg peak. The uncertainty of simulated dose is represented by the error band. BIC: QGSP_BIC_HP, INCLXX: QGSP_INCLXX_HP, BERT: QGSP_BERT_HP. HBL; horizontal beamline, IRPD; integrated radial profiles as a function of depth.
FIGURE 2
FIGURE 2
The relative difference of simulated and measured dose at reference condition Dref as a function of nominal energy for HBL (left) and VBL (right). BIC: QGSP_BIC_HP, INCLXX: QGSP_INCLXX_HP, BERT: QGSP_BERT_HP. The subscript ref indicates the normalized beam models, and N/MU indicates additional N/MU conversion tuning. The gray error band represents the relative standard uncertainty of measured Dref, uDrefmeas= 2.7%. The gray lines represent ±3%. HBL; horizontal beamline, VBL; vertical beamline.
FIGURE 3
FIGURE 3
The normalized transversal dose profile (D/Dmax) of 402.8 MeV/u carbon ion beam plotted over the lateral distance off the central axis (mm). (a) to (f) represent profiles at various depths in water. σc represents core width. The uncertainty of measured D/Dmax (black) is shown in the upper axes with shaded region. The uncertainties of Δ(D/Dmax) for QGSP_BIC_HP (cyan), QGSP_INCLXX_HP (yellow), and Shielding (red) are shown in the bottom axes with shaded region of the line color. The uncertainty representations are smaller than the symbols in many cases.
FIGURE 4
FIGURE 4
The normalized transversal dose profile (D/Dmax) of 200.0 MeV/u carbon ion beam plotted over the lateral distance off the central axis (mm). (a) to (e) represent profiles at various depths in water. σc represents core width. The uncertainty of measured D/Dmax (black) is shown in the upper axes with shaded region. The uncertainties of Δ(D/Dmax) for QGSP_BIC_HP (cyan), QGSP_INCLXX_HP (yellow), and Shielding (red) are shown in the bottom axes with shaded region of the corresponding color. The uncertainty representations are smaller than the symbols in many cases.
FIGURE 5
FIGURE 5
The distribution of ΔD for type I fields comparing the three configurations with normalized beam models (left) and the two with tuned N/MU conversion (right). The planned measurement positions ranged from 34.0 to 248.9 mm. The number of points in each depth group is marked beneath the boxes. The light gray and gray horizontal lines indicate ±3% and ±7%, respectively. The lines with markers indicate the med(ΔD) of the depth group. Both the notches and the error band indicate the CI95, that is, uncertainty of med(ΔD). The statistics of ΔD is reported in Table S5 in the Supporting Information.
FIGURE 6
FIGURE 6
The distribution of ΔD (left) and ΔD^ (right) for type II fields. The planned measurement positions ranged from 21.9 to 265.9 mm. The number of points in each depth group is marked beneath the boxes. The light gray and gray horizontal lines indicate ±3% and ±7%, respectively. The lines with markers indicate the med(ΔD) and med(ΔD^) of the depth group. The notches indicate the CI95 of ΔD and ΔD^. The error bands with half width of |med(ΔD)med(ΔD^)| indicated the uncertainty of med(ΔD) of the corresponding bin. The statistics of ΔD and ΔD^ are reported in Tables S6 and S7.
FIGURE 7
FIGURE 7
The distribution of ΔD (left) and ΔD^ (right) for type III fields. The planned measurement positions ranged from 11.9 to 274.7 mm. The number of points in each depth group is marked beneath the boxes. The light gray and gray horizontal lines indicate ±3% and ±7%, respectively. The lines with markers indicate the med(ΔD) and med(ΔD^) of the depth group. The notches indicate the CI95 of ΔD and ΔD^. The error bands with half width of |med(ΔD)med(ΔD^)| indicated the uncertainty of med(ΔD) of the corresponding bin. The statistics of ΔD and ΔD^ are reported in Tables S8 and S9.
FIGURE 8
FIGURE 8
The predicted (t^) and actual (t) normalized simulation time of the monoenergetic pencil beam training plans with and without range shifter, and the verification plans. Simulations were performed for QGSP_BIC_HP_EMZ with BICref beam model. The gray line represents t^=t.

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References

    1. Gottschalk B, Cascio EW, Daartz J, Wagner MS. On the nuclear halo of a proton pencil beam stopping in water. Phys Med Biol. 2015;60(14):5627‐5654. 10.1088/0031-9155/60/14/5627 - DOI - PubMed
    1. CERN . Introduction to the Monte Carlo simulation of radiation transport. Accessed January 17, 2025. https://indi.to/fyzNy2021
    1. Ruangchan S, Knäusl B, Fuchs H, Georg D, Clausen M. Experimental benchmarking of RayStation proton dose calculation algorithms inside and outside the target region in heterogeneous phantom geometries. Physica Med. 2020;76:182‐193. 10.1016/j.ejmp.2020.07.010 - DOI - PubMed
    1. Zhang H, Li Q, Liu X, et al. Validation and testing of a novel pencil‐beam model derived from Monte Carlo simulations in carbon‐ion treatment planning for different scenarios. Physica Med. 2022;99:1‐9. 10.1016/j.ejmp.2022.04.018 - DOI - PubMed
    1. Nakaji T, Kanai T, Takashina M, et al. Clinical dose assessment for scanned carbon‐ion radiotherapy using linear energy transfer measurements and Monte Carlo simulations. Phys Med Biol. 2022;67(24):245021. 10.1088/1361-6560/aca003 - DOI - PubMed

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