Monte Carlo single-cell dosimetry of I-131, I-125 and I-123 for targeted radioimmunotherapy of B-cell lymphoma

Bousis, C.; Emfietzoglou, Dimitris; Nikjoo, Hooshang

doi:10.3109/09553002.2012.666004

Cited by 18 publications

(10 citation statements)

References 51 publications

(78 reference statements)

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“…16 Such early damage predictions require an accurate modeling of the track structures of particles in the biological medium. [17][18][19] Over the last decades, the application of Monte Carlo radiation transport modeling in the field of radiobiology has seen a distinct shift in applicable scale from tissue (millimeter) 20,21 to cellular (micron) 22,23 and, more recently, subcellular (nanometer) [24][25][26] investigations. To ensure the accuracy at these new length scales of interest, it is important to simulate secondary electrons down to the excitation (or ionization) threshold of the medium, which is in the 7-10 eV range for liquid water.…”

Section: Introductionmentioning

confidence: 99%

Geant4‐DNA example applications for track structure simulations in liquid water: A report from the Geant4‐DNA Project

et al. 2018

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This Special Report presents a description of Geant4-DNA user applications dedicated to the simulation of track structures (TS) in liquid water and associated physical quantities (e.g., range, stopping power, mean free path…). These example applications are included in the Geant4 Monte Carlo toolkit and are available in open access. Each application is described and comparisons to recent international recommendations are shown (e.g., ICRU, MIRD), when available. The influence of physics models available in Geant4-DNA for the simulation of electron interactions in liquid water is discussed. Thanks to these applications, the authors show that the most recent sets of physics models available in Geant4-DNA (the so-called "option4" and "option 6" sets) enable more accurate simulation of stopping powers, dose point kernels, and W-values in liquid water, than the default set of models ("option 2") initially provided in Geant4-DNA. They also serve as reference applications for Geant4-DNA users interested in TS simulations.

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Section: Introductionmentioning

confidence: 99%

Geant4‐DNA example applications for track structure simulations in liquid water: A report from the Geant4‐DNA Project

et al. 2018

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“…Specifically, differences between the convolution integral and the Monte Carlo results were up to 50% for the largest sphere (radius 1 μm), increasing further for smaller spheres. Bousis et al (Bousis, 2011;Bousis et al, 2012Bousis et al, , 2010 have tabulated cellular S-values using their home-made Monte Carlo code (MC4) for various Auger-emitting radionuclides, reporting good agreement ( $ 10%) with MIRD for S(C'C), S (C'CS) and S(N'N) but poor agreement ( $ 50%) for S(N'Cy) and S(N'CS) (C: cell, CS: cell surface, N: nucleus, Cy: cytoplasm). Champion et al (2008) used the Monte Carlo code CELLDOSE to calculate S-values in water spheres with radius from 50 nm to 2.5 mm for I-131.…”

Section: Introductionmentioning

confidence: 99%

Calculation of cellular S-values using Geant4-DNA: The effect of cell geometry

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Incerti

Papamichael

et al. 2015

Applied Radiation and Isotopes

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“…62 Additionally, multiple studies have highlighted the need for dosimetry in smaller follicular lymphomas (down tõ 10 µm). [63][64][65] Our study did not extend to the biggest/smallest of the follicular lymphomas. It is expected that, with the increasing/decreasing size of the tumor model, radionuclides with higher (e.g., 90 Y)/lower (e.g., 125 I) penetration emissions, would become more favored from a dosimetric perspective.…”

Section: Discussionmentioning

confidence: 75%

“…For example, in clinical routine, the size of the diagnosed follicular lymphomas ranges from a few millimeters to several centimeters 62 . Additionally, multiple studies have highlighted the need for dosimetry in smaller follicular lymphomas (down to ~10 µm) 63–65 . Our study did not extend to the biggest/smallest of the follicular lymphomas.…”

Section: Discussionmentioning

confidence: 89%

Monte Carlo dosimetry of a realistic multicellular model of follicular lymphoma in a context of radioimmunotherapy

et al. 2020

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Small-scale dosimetry studies generally consider an artificial environment where the tumors are spherical and the radionuclides are homogeneously biodistributed. However, tumor shapes are irregular and radiopharmaceutical biodistributions are heterogeneous, impacting the energy deposition in targeted radionuclide therapy. To bring realism, we developed a dosimetric methodology based on a three-dimensional in vitro model of follicular lymphoma incubated with rituximab, an anti-CD20 monoclonal antibody used in the treatment of non-Hodgkin lymphomas, which might be combined with a radionuclide. The effects of the realistic geometry and biodistribution on the absorbed dose were highlighted by comparison with literature data. Additionally, to illustrate the possibilities of this methodology, the effect of different radionuclides on the absorbed dose distribution delivered to the in vitro tumor were compared. Methods: The starting point was a model named multicellular aggregates of lymphoma cells (MALC). Three MALCs of different dimensions and their rituximab biodistribution were considered. Geometry, antibody location and concentration were extracted from selective plane illumination microscopy. Assuming antibody radiolabeling with Auger electron (125 I and 111 In) and β − particle emitters (177 Lu, 131 I and 90 Y), we simulated energy deposition in MALCs using two Monte Carlo codes: Geant4-DNA with "CPA100" physics models for Auger electron emitters and Geant4 with "Livermore" physics models for β − particle emitters. Results: MALCs had ellipsoid-like shapes with major radii, r, of~0.25,~0.5 and~1.3 mm. Rituximab was concentrated in the periphery of the MALCs. The absorbed doses delivered by 177 Lu, 131 I and 90 Y in MALCs were compared with literature data for spheres with two types of homogeneous biodistributions (on the surface or throughout the volume). Compared to the MALCs, the mean absorbed doses delivered in spheres with surface biodistributions were between 18% and 38% lower, while with volume biodistribution they were between 15% and 29% higher. Regarding the radionuclides comparison, the relationship between MALC dimensions, rituximab biodistribution and

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Monte Carlo single-cell dosimetry of I-131, I-125 and I-123 for targeted radioimmunotherapy of B-cell lymphoma

Cited by 18 publications

References 51 publications

Geant4‐DNA example applications for track structure simulations in liquid water: A report from the Geant4‐DNA Project

Geant4‐DNA example applications for track structure simulations in liquid water: A report from the Geant4‐DNA Project

Calculation of cellular S-values using Geant4-DNA: The effect of cell geometry

Monte Carlo dosimetry of a realistic multicellular model of follicular lymphoma in a context of radioimmunotherapy

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