Monte Carlo single-cell dosimetry using Geant4-DNA: the effects of cell nucleus displacement and rotation on cellular S values

Salim, Ramak; Taherparvar, Payvand

doi:10.1007/s00411-019-00788-z

Cited by 12 publications

(4 citation statements)

References 48 publications

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“…Unveiling dose deposition at the cellular level provides an effective pathway to assess radiotherapy treatments, especially for advanced targeted particle therapy. Thanks to their nanoscale and positive zeta potential, our nanosensors were expected to be used for cell dosimetry. , For this purpose, nanogels were incubated with A549 tumor cells. Compared to the control sample (without nanogels), introduction of the nanogel did not affect the morphology of A549 cells, as shown in the bright-field imaging in Figure and Figures S2 and S3.…”

Section: Resultsmentioning

confidence: 99%

Fluorescent Nanogel Sensors for X-ray Dosimetry

Jiang

Nie

et al. 2021

ACS Sens.

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X-ray dosimeters are of significance for detecting the levels of ionizing radiation exposure in cells and phantoms; thus, they can further optimize X-ray radiotherapy in the clinic. In this paper, we designed a polyacrylamide-based nanogel sensor that is capable of measuring X-ray doses. The dosimeters were prepared by anchoring an X-ray-responsive probe (aminophenyl fluorescein, APF) to poly(acrylamide-co-N-(3-aminopropyl) methyl acrylamide) nanogels. The premise behind the dose measurement is the transition of APF to fluorescence in the presence of hydroxyl radicals that are caused by the radiolysis of water molecules under X-rays. Therefore, the dose of X-rays can be readily detected by measuring the fluorescence intensity of the resultant nanogel immediately after irradiation using fluorescence spectroscopy principles. Using an RS2000 Xray biological irradiator, our dosimeters showed good linearity responsivity at X-ray doses ranging from 0 to 15 Gy, with a limit of detection (LOD) of 0.5 Gy. Additionally, the signals showed temperature stability (25−65 °C), durability (5 weeks), and dose−rate (1.177 and 6 Gy/min) and energy independence (160 kVp and 6 MV). As a proof-of-concept, we used our sensors to fluorescently detect X-ray doses in A549 tumor cells and 3D-printed eye phantoms. The results showed that our dosimeters were able to accurately predict doses similar to those used by treatment plan systems.

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Section: Resultsmentioning

confidence: 99%

Fluorescent Nanogel Sensors for X-ray Dosimetry

Jiang

Nie

et al. 2021

ACS Sens.

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“…Most of the general-purpose Monte Carlo codes available for radiation transport (EGS, MCNP, PENELOPE and GEANT4 ) are developed based on condensed history technique in which, the particle's track are divide into small segments and the energy transferred along the segments and the scatter angle at the end of segments are stochastically determined [21][22]. Some dedicated codes were also developed based on the track structure technique wherein simulation is performed for all the collisions in an event-by-event manner [23].…”

Section: Discussionmentioning

confidence: 99%

Monte Carlo investigation of S-values for 111In radionuclide therapy

Jabbari,

Pandesha

2023

Braz. J. Rad. Sci.

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Novel therapeutic strategy in radionuclide therapy use cell-penetrating monoclonal antibodies to carry Auger-emitting radionuclides into the cells. Estimation of dose in normal and tumor cells are important to investigate the efficacy and toxicity of treatment. Monte Carlo simulation is the most suitable method for estimation of absorbed dose at microscopic level. It is therefore useful to carry out Monte Carlo simulation of Auger emitting radionuclides in order to assess the sensitivity of the results with respect to transport approximations generally used in Monte Carlo codes. There are several Auger emitting radionuclides with potential clinical applications, however, based on their half-life 111In is the most suitable for Auger therapeutic purposes and was considered in the present investigation. Geant4 Monte Carlo simulation was performed and specific absorbed dose fraction (or S-values) for 111In were calculated by using different physics model (Standard, Livermore, Penelope and Geant4-DNA) and compared with Medical Internal Radiation Dosimetry (MIRD) S-values. Source was distributed in the cytoplasm (Cy), surface (Cs) and nucleus (N). Average of relative differences (RD) (%) were calculated for self and cross absorbed dose. RD(%) for self-absorption (NßN) were 4.4, 2.36, 6.21 and 1.1 for Standard, Penelope, Livermore and Geant4-DNA respectively. For cross-absorption these values were higher (e.g. for NßCy 15.4, 18.36, 19.21 and 24.8 for Standard, Penelope, Livermore and Geant4-DNA respectively). Cutoff energy considered for electrons and gamma photons affect the results in dose estimation for Auger electrons in Monte Carlo simulation.

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“…where ∆ 𝑖 is the mean energy of the i-th radiation component, ∅ 𝑖 (𝑟 𝑇 ← 𝑟 𝑠 ) is the fraction of energy emitted from the source region (𝑟 𝑆 ) that is absorbed in the target region (𝑟 𝑇 ), 𝑚 𝑇 is the mass of the target region [27][28][29][30]. Based on the MIRD method, the Medical Internal Radiation Dose committee has published tables of cellular S values in spherical geometries for single energy electrons and radionuclides [25,30].…”

Section: S(𝑟 𝑇 ← 𝑟mentioning

confidence: 99%

A Monte Carlo study of the Cellular Dosimetry for SNCT Comparison with MIRD S Values

Zhang,

Lan,

Jiang

et al. 2023

Preprint

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Background An interesting isotope, sulfur-33 (a stable isotope), has been proposed as an additional neutron capture or a cooperating target for enhancing boron neutron capture therapy. Recently, 33S was considered as the substitute for boron-10 in neutron capture radiotherapy. The 33S (n, α)30Si reaction emits the α particles useful for neutron capture therapy. Based on the Monte Carlo method, we investigated the dosimetric characteristics of the cellular model of several geometries for the sulfur-33 neutron capture therapy (SNCT). Methods Monte Carlo N-Particle (MCNP) was used for simulating the transport of α particles emitted by SNCT from the cellular model surface (CS), cytoplasm (Cy), or nucleus (N) of a single cell model. The model cells were defined as two concentric spheres consisting of the nucleus and cytoplasm. The radius of the cell model was Rc=6 µm Rn=3 µm. The S values (SC←C, SC←CS, SN←N, SN←Cy, SN←CS) were compared to the results with the Medical Internal Radiation Dosimetry (MIRD) method. Finally, S values of the cellular model of several geometries were calculated. Results The relative differences of MCNP versus MIRD method S values for SNCT ranged from 0.28% to 4.29% for C to C (SC←C), -2.82% to 0.05% for Cs to C (SC←Cs), 0.54% to 4.42% for N to N (SN←N), 0.72% to 3.14% for Cy to N (SN ←Cy), and -1.76% to 0.36% for CS to N (SN←CS). The ratios of SN←N/ SC←C, SN←CS/SC←C, SN←Cy/ SC←C decreased with increasing the cell and nucleus size. Conclusion The S value simulated by MCNP is in agreement with the MIRD method, which is proved to be reliable for the cellular dosimetry of SNCT by the Monte Carlo method. The Model Carlo method can be used instead of the MIRD method to accurately calculate cellular S values, which solves the problem of cell shape limitation in MIRD method (which is suitable for regular spherical cellular model).

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Monte Carlo single-cell dosimetry using Geant4-DNA: the effects of cell nucleus displacement and rotation on cellular S values

Cited by 12 publications

References 48 publications

Fluorescent Nanogel Sensors for X-ray Dosimetry

Fluorescent Nanogel Sensors for X-ray Dosimetry

Monte Carlo investigation of S-values for 111In radionuclide therapy

A Monte Carlo study of the Cellular Dosimetry for SNCT Comparison with MIRD S Values

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