Calculation and evaluation of energy deposition and S-value caused by low-energy electrons in a multicellular model using Geant4-DNA

Authors

Abstract

Today, targeted radiation therapy (TRT) methods for cancer treatment, besides the goal of completely destroying the target tumor, attempts to prevent nearby healthy cells from exposure to ionizing radiation as far as possible. Hence, short-range charged particles, such as low-energy electrons that are suited to achieving these two goals together, play an important role in TRT and so, adoption of precise methods such as Monte Carlo simulations to perform cellular dosimetry of electrons and to get better knowledge of their energy deposition pattern at the cellular level is necessary. In this study, with the help of Geant4-DNA simulation code, four spherical cells (and nuclei) of liquid water in the soft tissue medium were modeled as a cell cluster. One of the cells in this model was considered as a radiation emission source of 1-10 keV monoenergetic electrons, and the energy deposition along with the S-value were calculated in this cell and its neighboring cells for different cell-to-cell distances. In addition to validating the S-values estimated by Geant4-DNA through comparing them to the values reported by Medical Internal Radiation Dose (MIRD) committee as well as the results obtained by previous version of Geant4-DNA, which shows a very good agreement, the evaluation of the results suggests that increasing the intercellular distance is significantly effective (50% or more) in reducing the energy deposition and S-value in cells adjacent to the source cell. Moreover, for electron energies of 3 keV and higher, the energy deposited in the nearby cells is such that it can cause cell destruction and death. Therefore, this is another important issue which should be considered in the selection of the suitable (electron-emitting) radiopharmaceutical as well as optimal treatment design for TRT of tumors in actual cases.

Keywords

References

[1] D. Emfietzoglou, K. Kostarelos, P. Hadjidoukas, C. Bousis, A. Fotopoulos, A. Pathak, H. Nikjoo. Subcellular S-factors for low-energy electrons: a comparison of Monte Carlo simulations and continuous-slowing-down calculations. Int. J. Radiat. Biol. 84 (2008) 1034–1044. [2] T. André, F. Morini, M. Karamitros, R. Delorme, C. Le Loirec, L. Campos, C. Champion, J.-E. Groetz, M. Fromm, M.-C. Bordage, Y. Perrot, Ph. Barberet, M.A. Bernal, J.M.C. Brown, M.S. Deleuze, Z. Francism, V. Ivanchenko, B. Mascialino, C. Zacharatou , M. Bardiès, S. Incerti. Comparison of Geant4-DNA simulation of S-values with other Monte Carlo codes. Nucl. Instr. Meth. Phys. Res. B 319 (2014) 87–94. [3] N.T. Henthorn, W. Warmenhoven, M. Sotiropoulos, R.I. Mackay, K.J. Kirkby, M.J. Merchant. Nanodosimetric Simulation of Direct Ion-Induced DNA Damage Using Different Chromatin Geometry Models. Radiat. Res. 7 (2017) 690–703. [4] S. Meylan, S. Incerti, M. Karamitros, N. Tang, M. Bueno, I. Clairand, C. Villagrasa. Simulation of early DNA damage after the irradiation of a fibroblast cell nucleus using Geant4-DNA. Sci. Rep. 7 (2017) 11923. [5] W. Liu, Z. Tan, L. Zhang. C. Champion. Calculation on spectrum of direct DNA damage induced by low-energy electrons including dissociative electron attachment. Radiat. Environ. Biophys. 56 (2017) 99–110. [6] S. Incerti, M. Douglass, S. Penfold, S. Guatelli, E. Bezak. Review of Geant4-DNA applications for micro and nanoscale simulations. Phys. Med. 32 (2016) 1187–1200. [7] M.A. Bernal, M.C. Bordage, J.M.C. Brown, M. Davidkova, E. Delage, Z. El Bitar, S.A. Enger, Z. Francis, S. Guatelli, V.N. Ivanchenko , M. Karamitros, I. Kyriakou, L. Maigne, S. Meylan, K. Murakami, S. Okada, H. Payno, Y. Perrot, I. Petrovic, Q.T. Pham, A. Ristic-Fira, T. Sasaki, V. Štěpan, H.N. Tran, C. Villagrasa, S. Incerti. Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit. Phys. Med. 31 (2015) 861–874. [8] H. Fourie, R. Newman, J. Slabbert. Microdosimetry of the Auger electron emitting 123I radionuclide using Geant4-DNA simulations. Phys. Med. Biol. 60 (2015) 3333–3346. [9] M. Šefl, S. Incerti, G. Papamichael, D. Emfietzoglou. Calculation of cellular S-values using Geant4-DNA: the effect of cell geometry. Appl. Radiat. Isot. 104 (2015) 113–123. [10] Z. Cai, Y.L. Kwon, R.M. Reilly. Monte Carlo N Particle (MCNP) Modeling of the Cellular Dosimetry of 64Cu: Comparison with MIRDcell S Values and Implications for Studies of Its Cytotoxic Effects. J. Nucl. Med. 58 (2017) 339–345. [11] B. Cornelissen, K.A. Vallis. Targeting the Nucleus: An Overview of Auger-Electron Radionuclide Therapy. Curr. Drug. Discov. Technol. 7 (2010) 263–279. [12] R. Salim, P. Taherparvar. Monte Carlo single-cell dosimetry using Geant4-DNA: the effects of cell nucleus displacement and rotation on cellular S values. Radiat. Environ. Biophys. 58 (2019) 353–371. [13] I. Kyriakou, D. Emfietzoglou, V. Ivanchenko, M.C. Bordage, S. Guatelli, P. Lazarakis, H.N. Tran, S. Incerti. Microdosimetry of electrons in liquid water using the low-energy models of Geant4. J. Appl. Phys. 122 (2017) 024303. [14] S. Chauvie, Z. Francis, S. Guatelli, S. Incerti, B. Mascialino, P. Moretto, P. Nieminen, M.G. Pia. Geant4 physics processes for microdosimetry simulation: design foundation and implementation of the first set of models. IEEE Trans. Nucl. Sci. 54 (2007) 2619–2628. [15] C. Champion, P. Zanotti-Fregonara, E. Hindié. CELLDOSE: A Monte Carlo Code to Assess Electron Dose Distribution—S Values for 131I in Spheres of Various Sizes. J. Nucl. Med. 49 (2008) 151–157. [16] S.M. Goddu, R.W. Howell, L. Bouchet, W. Bolch, D.V. Rao. MIRD Cellular S-Values. Society of Nuclear Medicine, Reston, VA (1997). [17] M. Faraggi, I. Gardin, JL. Stievenart, B.D. Bok, D. Le Guludec. Comparison of cellular and conventional dosimetry in assessing self-dose and cross-dose delivered to the cell nucleus by electron emissions of 99mTC, 123I, 111In, 67Ga and 201Tl. Eur. J. Nucl. Med. 25 (1998) 205–214. [18] C. Bousis, D. Emfietzoglou, P. Hadjidoukas, H. Nikjoo. A Monte Carlo study of cellular S-factors for 1 keV to 1 MeV electrons. Phys. Med. Biol. 54 (2009) 5023–5038. [19] B. Vaziri, H. Wu, A.P. Dhawan, P. Du, R.W. Howell. MIRD Pamphlet No. 25: MIRDcell V2.0 Software Tool for Dosimetric Analysis of Biologic Response of Multicellular Populations. J. Nucl. Med. 55 (2014) 1557–1564. [20] N. Lampe, M. Karamitros, V. Breton, J.M.C. Brown, I. Kyriakou, D. Sakata, D. Sarramia, S. Incerti. Mechanistic DNA damage simulations in Geant4-DNA part 1: A parameter study in a simplified geometry. Phys. Med. 48 (2018) 135–145.

Files

Share

How to cite

Statistics