Evaluation of the accuracy of mono-energetic electron and beta-emitting isotope dose-point kernels using particle and heavy ion transport code system: PHITS

Shiiba, Takuro; Kuga, Naoya; Kuroiwa, Yasuyoshi; Sato, Tatsuhiko

doi:10.1016/j.apradiso.2017.07.028

Cited by 11 publications

(8 citation statements)

References 14 publications

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“…The EGS5 algorithm was introduced for simulating atomic interactions of electrons, positrons, and photons over a wide energy ranging from 1 keV to 1 TeV. This implementation improves the accuracy of electron transport simulation, especially for lower energies, which is very important from the viewpoint of medical physics applications [29]. In addition, consideration of electromagnetic fields in the transport of electrons and positrons became feasible.…”

Section: Improvements On Atomic Interaction Modelsmentioning

confidence: 99%

Features of Particle and Heavy Ion Transport code System (PHITS) version 3.02

Sato

Iwamoto

Hashimoto

et al. 2018

Journal of Nuclear Science and Technology

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We have upgraded many features of the Particle and Heavy Ion Transport code System (PHITS) and released the new version as PHITS3.02. The accuracy and the applicable energy ranges of the code were greatly improved and extended, respectively, owing to the revisions to the nuclear reaction models and the incorporation of new atomic interaction models. Both condense history and track-structure methods were implemented to handle the electron and positron transport, although the latter is reliable only for simulations in liquid water. In addition, several usersupportive functions were developed, such as new tallies to efficiently obtain statistically better results, radioisotope source-generation function, and software tools useful for applying PHITS to medical physics. Owing to the continuous improvement and promotion of the code, the number of registered users has exceeded 3,000, and it is being used in diverse areas of study, including accelerator design, radiation shielding and protection, medical physics, and cosmic-ray research. In this paper, we summarize the basic features of PHITS3.02, especially those of the physics models and the functions implemented after the release of PHITS2.52 in 2013.

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Section: Improvements On Atomic Interaction Modelsmentioning

confidence: 99%

Features of Particle and Heavy Ion Transport code System (PHITS) version 3.02

Sato

Iwamoto

Hashimoto

et al. 2018

Journal of Nuclear Science and Technology

Self Cite

1,096

519

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“…positron, negatron/electron, and photon transport; the default PHITS algorithm is used for a-decay when applicable. The accuracy of the EGS5 mode of PHITS in calculating dose-point kernels for monoenergetic electrons and b-emitting isotopes has been well validated (21). PARaDIM does not automatically account for decay of radionuclide progeny; that is, the user must therefore ensure that if the radionuclide is part of a decay chain, the time-integrated activity coefficients for the progeny are characterized appropriately and simulated separately.…”

Section: Code Development and Functionalitymentioning

confidence: 99%

PARaDIM: A PHITS-Based Monte Carlo Tool for Internal Dosimetry with Tetrahedral Mesh Computational Phantoms

et al. 2019

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Mesh-type and voxel-based computational phantoms comprise the current state of the art for internal dose assessment via Monte Carlo simulations but excel in different aspects, with mesh-type phantoms offering advantages over their voxel counterparts in terms of their flexibility and realistic representation of detailed patient-or subjectspecific anatomy. We have developed PARaDIM (pronounced "paradigm": Particle and Heavy Ion Transport Code System-Based Application for Radionuclide Dosimetry in Meshes), a freeware application for implementing tetrahedral mesh-type phantoms in absorbed dose calculations. It considers all medically relevant radionuclides, including α, β, γ, positron, and Auger/conversion electron emitters, and handles calculation of mean dose to individual regions, as well as 3-dimensional dose distributions for visualization and analysis in a variety of medical imaging software. This work describes the development of PARaDIM, documents the measures taken to test and validate its performance, and presents examples of its uses. Methods: Human, small-animal, and cell-level dose calculations were performed with PARaDIM and the results compared with those of widely accepted dosimetry programs and literature data. Several tetrahedral phantoms were developed or adapted using computer-aided modeling techniques for these comparisons. Results: For human dose calculations, agreement of PARaDIM with OLINDA 2.0 was good-within 10%-20% for most organs-despite geometric differences among the phantoms tested. Agreement with MIRDcell for cell-level S value calculations was within 5% in most cases. Conclusion: PARaDIM extends the use of Monte Carlo dose calculations to the broader community in nuclear medicine by providing a user-friendly graphical user interface for calculation setup and execution. PARaDIM leverages the enhanced anatomic realism provided by advanced computational reference phantoms or bespoke image-derived phantoms to enable improved assessments of radiation doses in a variety of radiopharmaceutical use cases, research, and preclinical development. PARaDIM can be downloaded freely at www.paradim-dose.org.

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“…6 considering a sphere of 120 shells and thickness of , where was the range for the energy of maximum emission. Figure 4 shows beta-emitting radionuclide sDPK for (a) water and (b) compact bone, for Y and I, with the sDPK reported by Botta et al [ 66 ] and Shiiba et al [ 67 ]. It should be noted that the calculated sDPK was rescaled to the X90 scale [ 21 ].…”

Section: Resultsmentioning

confidence: 64%

“…Beta-emitting radionuclide sDPK calculated by Eq. 6 was benchmarked against previously reported results by Botta et al [ 66 ] and Shiiba et al [ 67 ]. Botta used FLUKA for simulating the sDPK, and Shiiba used PHITS (56).…”

Section: Methodsmentioning

confidence: 99%

A machine learning-based model for a dose point kernel calculation

2023

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Purpose Absorbed dose calculation by kernel convolution requires the prior determination of dose point kernels (DPK). This study reports on the design, implementation, and test of a multi-target regressor approach to generate the DPKs for monoenergetic sources and a model to obtain DPKs for beta emitters. Methods DPK for monoenergetic electron sources were calculated using the FLUKA Monte Carlo (MC) code for many materials of clinical interest and initial energies ranging from 10 to 3000 keV. Regressor Chains (RC) with three different coefficients regularization/shrinkage models were used as base regressors. Electron monoenergetic scaled DPKs (sDPKs) were used to assess the corresponding sDPKs for beta emitters typically used in nuclear medicine, which were compared against reference published data. Finally, the beta emitters sDPK were applied to a patient-specific case calculating the Voxel Dose Kernel (VDK) for a hepatic radioembolization treatment with $$^{90}$$ 90 Y. Results The three trained machine learning models demonstrated a promising capacity to predict the sDPK for both monoenergetic emissions and beta emitters of clinical interest attaining differences lower than $$10\%$$ 10 % in the mean average percentage error (MAPE) as compared with previous studies. Furthermore, differences lower than $$7 \%$$ 7 % were obtained for the absorbed dose in patient-specific dosimetry comparing against full stochastic MC calculations. Conclusion An ML model was developed to assess dosimetry calculations in nuclear medicine. The implemented approach has shown the capacity to accurately predict the sDPK for monoenergetic beta sources in a wide range of energy in different materials. The ML model to calculate the sDPK for beta-emitting radionuclides allowed to obtain VDK useful to achieve reliable patient-specific absorbed dose distributions required short computation times.

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Evaluation of the accuracy of mono-energetic electron and beta-emitting isotope dose-point kernels using particle and heavy ion transport code system: PHITS

Cited by 11 publications

References 14 publications

Features of Particle and Heavy Ion Transport code System (PHITS) version 3.02

Features of Particle and Heavy Ion Transport code System (PHITS) version 3.02

PARaDIM: A PHITS-Based Monte Carlo Tool for Internal Dosimetry with Tetrahedral Mesh Computational Phantoms

A machine learning-based model for a dose point kernel calculation

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