Evaluation of the new electron-transport algorithm in MCNP6.1 for the simulation of dose point kernel in water

Antoni, Rodolphe; Bourgois, Laurent

doi:10.1016/j.nimb.2017.09.026

Cited by 13 publications

(3 citation statements)

References 14 publications

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“…Detailed discussions about models used to obtain the ENDF/B-VI.8 data library can be found in reference [89]. Even if this single-event mode is a relatively new feature of MCNP6, several works in literature reported on the reliability of the MCNP6 single-event option [121,122]. For photons, the traditional photon-atomic interaction processes are considered: coherent and incoherent scattering, photoelectric absorption, and electron/positron pair production.…”

Section: A6 Mdm Codementioning

confidence: 99%

Intercomparison of dose enhancement ratio and secondary electron spectra for gold nanoparticles irradiated by X-rays calculated using multiple Monte Carlo simulation codes

Belchior

Beuve

et al. 2020

Physica Medica

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Section: A6 Mdm Codementioning

confidence: 99%

Intercomparison of dose enhancement ratio and secondary electron spectra for gold nanoparticles irradiated by X-rays calculated using multiple Monte Carlo simulation codes

Belchior

Beuve

et al. 2020

Physica Medica

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“…Energy deposition was tallied in radial shells every 0.1 mm until a radius of 10 cm, and then every 1 mm until a radius of 2 m. This choice of maximum radius is based on the fact that fewer than 0.0005% of humans exceed a height of 2 m. Default electron and photon physics settings were used, which overall is suitable for kernel generation. Low‐energy electron energy deposition with these settings is likely to deviate somewhat from other Monte Carlo codes (i.e., EGSnrc, GEANT4) due to so‐called “crossing boundaries artifacts” and issues regarding the number of transport substeps within a given tally region . Regardless, these discrepancies are confined to within the first ~1 mm radius for each kernel and such impacts are expected to be negligible for purposes of clinical dosimetry.…”

Section: Methodsmentioning

confidence: 99%

Dose point kernels for 2,174 radionuclides

2019

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Purpose Rapid adoption of targeted radionuclide therapy as an oncologic intervention has motivated the development of patient‐specific voxel‐wise approaches to radiation dosimetry. These approaches often rely on pretabulated dose point kernels for convolution‐based calculations; however, these dose kernels are sparse in literature and often have suboptimal characteristics. The purpose of this work was to generate an extensive library of dose point kernels with sufficient size and resolution for general clinical application of voxel‐wise dosimetry. Methods Nuclear data were acquired for 2174 radionuclides from the National Nuclear Data Center (Brookhaven National Laboratory, accessed March 2018). Based on these data, isotropic point sources of radioactivity in water were simulated using Monte Carlo N‐Particle transport v6.2 (MCNP6.2, Los Alamos National Laboratory). Simulations were separated by emission type for each radionuclide — photons (γ‐rays, x rays), beta particles (positrons, electrons); and discrete electrons (conversion electrons, Auger electrons, Coster–Kronig electrons). Dose was tallied in concentric spherical shells about the point source using an energy deposition pulse‐height tally (MCNP *F8 tally). Bins were spaced every 0.1 mm until a radius of 10 cm, and every 1 mm until a radius of 2 m. Positron emissions where treated as electrons for transport, with annihilation photons generated at the origin within the photon simulation. Alpha particle emissions were not simulated since their energy is deposited within ~0.2 mm of the source. Neutron and spallation effects were not considered. A subset of the resultant dose point kernels (11C, 18F, 32P, 52gMn, 64Cu, 67Ga, 89Sr, 89Zr, 90Y, 99mTc, 111In, 117mSn, 123I, 124I, 125I, 131I, 153Sm, 177Lu, 186Re, 188Re, 211As, 212Pb, 213Bi, 223Ra, and 225Ac) were evaluated for accuracy based on conservation of energy, comparison to kernels in the literature, and statistical precision. Results Among dose point kernels that were manually reviewed, good agreement with previously published dose point kernels was observed. Energy within the kernels was found to be conserved to within 1% of the value expected from nuclear data, suggesting that a radius of 2 m was sufficient to capture the almost all of the energy released during decay for all isotopes considered. Local dosimetric uncertainty, evaluated at the radius of 99% energy deposition, was found to be less than 9% for all radioisotopes evaluated. Rebinning data more coarsely by a factor of 10, similar to what would be done for a clinical dose calculation, results in all evaluated kernels having a relative error of less than 1.1% at R50%, 1.5% at R90%, and 2.7% at R99% (the radius corresponding to 50%, 90%, and 99% of total energy deposition, respectively). The kernels produced in this work have been made freely available (https://zenodo.org/record/2564036). Conclusions An extensive library of high‐resolution radial dose kernels was generated and validated against published data. In addition to enabling patient‐speci...

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“…Further discussions about models used to obtain ENDF/B-VI-8 data library can be found in reference [ 31 ]. Single-event mode is a relatively new feature of MCNP6 that was tested and validated in several works present in literature [ 28 , 32 , 33 ]. A validation of the MC model was made through MC S-values calculations (for several radionuclide spectra emission), and results showed agreement with MIRD values within 3% error [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Radiobiological and dosimetric assessment of DNA-intercalated 99mTc-complexes bearing acridine orange derivatives

et al. 2020

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Background Recently, a new family of 99m Tc(I)-tricarbonyl complexes bearing an acridine orange (AO) DNA targeting unit and different linkers between the Auger emitter ( 99m Tc) and the AO moiety was evaluated for Auger therapy. Among them, 99m Tc-C 3 places the corresponding radionuclide at a shortest distance to DNA and produces important double strand breaks (DSB) yields in plasmid DNA providing the first evidence that 99m Tc can efficiently induce DNA damage when well positioned to the double helix. Here in, we have extended the studies to human prostate cancer PC3 cells using the 99m Tc-C 3 and 99m Tc-C 5 complexes, aiming to assess how the distance to DNA influences the radiation-induced biological effects in this tumoral cell line, namely, in which concerns early and late damage effects. Results Our results highlight the limited biological effectiveness of Auger electrons, as short path length radiation, with increasing distances to DNA. The evaluation of the radiation-induced biological effects was complemented with a comparative microdosimetric study based on intracellular dose values. The comparative study, between MIRD and Monte Carlo (MC) methods used to assess the cellular doses, revealed that efforts should be made in order to standardize the bioeffects modeling for DNA-incorporated Auger electron emitters. Conclusions 99m Tc might not be the ideal radionuclide for Auger therapy but can be useful to validate the design of new classes of Auger-electron emitting radioconjugates. In this context, our results highlight the crucial importance of the distance of Auger electron emitters to the target DNA and encourage the development of strategies for the fine tuning of the distance to DNA for other medical radionuclides (e.g., 111 In or 161 Tb) in order to enhance their radiotherapeutic effects within the Auger therapy of cancer.

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Evaluation of the new electron-transport algorithm in MCNP6.1 for the simulation of dose point kernel in water

Cited by 13 publications

References 14 publications

Intercomparison of dose enhancement ratio and secondary electron spectra for gold nanoparticles irradiated by X-rays calculated using multiple Monte Carlo simulation codes

Intercomparison of dose enhancement ratio and secondary electron spectra for gold nanoparticles irradiated by X-rays calculated using multiple Monte Carlo simulation codes

Dose point kernels for 2,174 radionuclides

Radiobiological and dosimetric assessment of DNA-intercalated 99mTc-complexes bearing acridine orange derivatives

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