Martin Šefl1, Sébastien Incerti2, George Papamichael3, Dimitris Emfietzoglou4. 1. Medical Physics Laboratory, University of Ioannina Medical School, 45110 Ioannina, Greece; Department of Dosimetry and Application of Ionizing Radiation, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, 110 00 Prague, Czech Republic. 2. Université de Bordeaux, Centre d'Etudes Nucléaires de Bordeaux-Gradignan, CENBG, Chemin du solarium, 33175 Gradignan, France; CNRS/IN2P3, Centre d'Etudes Nucléaires de Bordeaux-Gradignan, CENBG, Chemin du solarium, 33175 Gradignan, France. 3. Medical Physics Laboratory, University of Ioannina Medical School, 45110 Ioannina, Greece; Division of Applied Statistics, Institute of Labor (GSEE), 10681 Athens, Greece. 4. Medical Physics Laboratory, University of Ioannina Medical School, 45110 Ioannina, Greece. Electronic address: demfietz@cc.uoi.gr.
Abstract
PURPOSE: Geant4-DNA is used to calculate S-values for different subcellular distributions of low-energy electron sources in various cell geometries. METHOD: Calculations of cellular S-values for monoenergetic electron sources with energy from 1 to 100 keV and the Auger-electron emitting radionuclides Tc-99m, In-111, and I-125 have been made using the Geant4 Monte Carlo toolkit. The Geant4-DNA low-energy extension is employed for simulating collision-by-collision the complete slowing-down of electron tracks (down to 8 eV) in liquid water, used as a surrogate of human cells. The effect of cell geometry on S-values is examined by simulating electron tracks within different cell geometries, namely, a spherical, two ellipsoidal, and an irregular shape, all having equal cellular and nuclear volumes. Algorithms for randomly sampling the volume of the nucleus, cytoplasm, surface, and whole cell for each cell phantom are presented. RESULTS: Differences between Geant4-DNA and MIRD database up to 50% were found, although, for the present radionuclides, they mostly remain below 10%. For most source-target combinations the S-values for the spherical cell geometry were found to be within 20% of those for the ellipsoidal cell geometries, with a maximum deviation of 32%. Differences between the spherical and irregular geometries are generally larger reaching 100-300%. Most sensitive to the cell geometry is the absorbed dose to the nucleus when the source is localized on the cell surface. Interestingly, two published AAPM spectra for I-125 yield noticeable differences (up to 19%) in cellular S-values. CONCLUSION: Monte Carlo simulations of cellular S-values with Geant4-DNA reveal that, for the examined radionuclides, the widely used approximation of spherical cells is reasonably accurate (within 20-30%) even for ellipsoidal geometries. For irregular cell geometries the spherical approximation should be used with caution because, as in the present example, it may lead to erroneous results for the nuclear dose for the commonly encountered situation where the source is localized to the cell surface.
PURPOSE: Geant4-DNA is used to calculate S-values for different subcellular distributions of low-energy electron sources in various cell geometries. METHOD: Calculations of cellular S-values for monoenergetic electron sources with energy from 1 to 100 keV and the Auger-electron emitting radionuclides Tc-99m, In-111, and I-125 have been made using the Geant4 Monte Carlo toolkit. The Geant4-DNA low-energy extension is employed for simulating collision-by-collision the complete slowing-down of electron tracks (down to 8 eV) in liquid water, used as a surrogate of human cells. The effect of cell geometry on S-values is examined by simulating electron tracks within different cell geometries, namely, a spherical, two ellipsoidal, and an irregular shape, all having equal cellular and nuclear volumes. Algorithms for randomly sampling the volume of the nucleus, cytoplasm, surface, and whole cell for each cell phantom are presented. RESULTS: Differences between Geant4-DNA and MIRD database up to 50% were found, although, for the present radionuclides, they mostly remain below 10%. For most source-target combinations the S-values for the spherical cell geometry were found to be within 20% of those for the ellipsoidal cell geometries, with a maximum deviation of 32%. Differences between the spherical and irregular geometries are generally larger reaching 100-300%. Most sensitive to the cell geometry is the absorbed dose to the nucleus when the source is localized on the cell surface. Interestingly, two published AAPM spectra for I-125 yield noticeable differences (up to 19%) in cellular S-values. CONCLUSION: Monte Carlo simulations of cellular S-values with Geant4-DNA reveal that, for the examined radionuclides, the widely used approximation of spherical cells is reasonably accurate (within 20-30%) even for ellipsoidal geometries. For irregular cell geometries the spherical approximation should be used with caution because, as in the present example, it may lead to erroneous results for the nuclear dose for the commonly encountered situation where the source is localized to the cell surface.
Authors: J Carrasco-Hernández; J Ramos-Méndez; B Faddegon; A R Jalilian; M Moranchel; M A Ávila-Rodríguez Journal: Phys Med Biol Date: 2020-07-27 Impact factor: 3.609
Authors: Ramya Ambur Sankaranarayana; Alexandru Florea; Susanne Allekotte; Andreas T J Vogg; Jochen Maurer; Laura Schäfer; Carsten Bolm; Steven Terhorst; Arno Classen; Matthias Bauwens; Agnieszka Morgenroth; Felix M Mottaghy Journal: EJNMMI Res Date: 2022-09-14 Impact factor: 3.434