Abstract
Purpose This study is conducted to improve the multi-cellular model which would simulate an in-vitro scenario and to estimate the absorbed dose at the cellular and subcellular level for different therapeutic isotopes used in internal radiotherapy such as I-131, Y-90 and Lu-177. The objective of this study is to develop a complex model of a multicellular cell-cluster. Methods S-factors (absorbed dose per unit cumulated activity) calculations using Monte Carlo simulations were performed by using Monte Carlo N-Particle eXtended (MCNPX) code. S-cross (cross-dose) minimum, S-cross maximum and S-self (self-dose) were calculated. S-cross mean values were provided by using the Medical Internal Radiation Dose (MIRD) cell2 software. Nucleus (N), cytoplasm (Cy), cell surface (CS) and three isotopes, Y-90, I-131 and Lu-177 used for internal radiotherapy were simulated. Python software was used to generate random coordinates of cells in order to build a complex model taking into account realistic conditions (cell size, cluster size). The calculated coordinates of the cells are used as MCNPX input parameters. Results The coordinates of the cells are calculated and a multi-cellular model is developed. The comparison between MCNPX results and the MIRD cell2 values agreed well since the relative difference for S-self is less than 12% for the three radionuclides studied, Lu-177, I-131 and Y-90. The S-cross mean results provided by using MIRDcell2 software are between S-cross max and min data calculated for Lu-177, I-131 and Y-90 and for 3 configurations N to N; Cy to N and CS to N. The calculated ratios of S-cross vs S-self for three configurations (N to N, Cy to N, CS to N) are ranging from 10 to 50 for Lu-177, 20 to 70 for I-131 and from 40 to 140 for Y-90. It was showed that this ratio decreased for Lu-177 and I-131 with increasing the size of the cell and consequently the radius of the cell cluster. Conclusions The realistic geometry model provided by this study is designed to achieve as accurate results of estimating absorbed dose to the target cell and to predict the biological effect caused by the emitted radiations of therapeutic radionuclides.
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