001     299796
005     20250610143223.0
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024 7 _ |a 1522-8541
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024 7 _ |a 2473-4209
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037 _ _ |a DKFZ-2025-00551
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Freitas, Hugo
|0 P:(DE-HGF)0
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245 _ _ |a A comparative analysis of GEANT4, MCNP6 and FLUKA on proton-induced gamma-ray simulation.
260 _ _ |a Hoboken, NJ
|c 2025
|b Wiley
336 7 _ |a article
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336 7 _ |a ARTICLE
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500 _ _ |a #EA:E041#LA:E041# / 2025 Jun;52(6):4862-4870
520 _ _ |a Precise range verification is essential in proton therapy to minimize treatment margins due to the steep dose fall-off of proton beams. The emission of secondary radiation from nuclear reactions between incident particles and tissues stands out as a promising method for range verification. Two prominent techniques are PET and Prompt Gamma-Ray Spectroscopy (PGS). PGS holds significant promise due to its real-time capability for range monitoring. This method allows for prompt detection and quantification of any disparities between planned and actual dose delivery, facilitating adaptive treatment strategies. Given the key role of Monte Carlo (MC) codes in understanding the PGS mechanisms during proton therapy, it is essential to address the current lack of validated codes covering the full energy spectrum of emitted gamma-rays.Addressing the need for precise range monitoring in proton therapy, our study aims to develop and validate MC codes for PGS. We focus on analyse MCNP6, GEANT4, and FLUKA codes, conducting rigorous validation process by comparing our simulation results with experimental data. Additionally, we propose optimal models and parameters to refine the accuracy of simulations for prompt gamma-ray (PG) spectra.Various proton data libraries, models and cross-sections values were used in this study to simulate proton-induced gamma-rays in MCNP6, GEANT4 and FLUKA. To validate these simulations, PGS spectra of 15.0 cm 3 $15.0 \,{\rm cm}^{3}$ PMMA block irradiation were obtained with CeBr 3 ${\rm CeBr}_3$ inorganic scintillator detector for different proton energies, raging from approximately 90 $\hskip.001pt 90$ to 130 MeV $130 \,{\rm MeV}$ .GEANT4 was the only MC code capable of successfully reproducing 10 B $^{10}{\rm B}$ PG lines, while the FLUKA aligned better with experimental data for mid-range energies. At higher energies, FLUKA overestimated the 12 C $^{12}{\rm C}$ PG line ( 2 + → 0 + $2^{+} \rightarrow 0^{+}$ ) at 4.44 MeV $4.44 \,{\rm MeV}$ , whereas GEANT4 underestimated it; MCNP6 provided the closest match. Additionally, GEANT4, FLUKA, and MCNP6 failed to accurately reproduce the 16 O $^{16}{\rm O}$ PG line ( 3 - → 0 + $3^{-} \rightarrow 0^{+}$ ) at 6.13 MeV $6.13 \,{\rm MeV}$ , consistent with previous findings. To address this limitation, a new model based on experimental and theoretical data from literature was developed.This study emphasizes the need for updates to the data tables in MC simulations and underscores the importance of further theoretical and experimental research on PG de-excitation lines relevant to proton therapy. The newly developed model, designed to address discrepancies in the simulation of 12 C $^{12}{\rm C}$ and 16 O $^{16}{\rm O}$ de-excitation lines across different toolkits, successfully improved the accuracy of the oxygen de-excitation line, which was previously not well-reproduced.
536 _ _ |a 315 - Bildgebung und Radioonkologie (POF4-315)
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588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a FLUKA
|2 Other
650 _ 7 |a GEANT4
|2 Other
650 _ 7 |a MCNP6
|2 Other
650 _ 7 |a Monte Carlo simulations
|2 Other
650 _ 7 |a prompt gamma‐ray spectroscopy
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700 1 _ |a Nobakht, Esmaeil
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700 1 _ |a Grüner, Florian
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700 1 _ |a Seco, Joao
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773 _ _ |a 10.1002/mp.17754
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