Fast Monte Carlo simulation of DNA damage induced by Auger-electron emission
| Autor: | Tzu-Hsiang Hung, 洪子翔 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 In this thesis, an algorithm methodology was proposed to estimate the absorbed does to help selecting a suitable nuclide on radionuclide target therapy. Past studies were interested in the biological effectiveness on cells by the Auger-electron emitting nuclides. As to radiation treatment, for a better estimation on therapeutic potential of various types of radionuclide, we proposed an algorithm by used local damage model. Used this model, the radiation source was assumed to be uniform distributed over cells in the way of concentric spheres to divide cells into multiple-shell structure. We could calculate the absorbed does produced by nuclide on each structural shell of cells, and various types of DNA clustered damage yields by per decay of radionuclide. We chose the five kinds of radionuclides to estimate: 125I, 119Sb, 123I, 111In, and 99mTc, and use two kinds Monte Carlo code. First of all, by way of Penolope (Penetration and ENErgy LOss of Positrons and Electrons) code, we could calculate the subcellular absorbed dose and cellular S value from radiation by each Auger-electrons emitting radionuclide. This mixed simulation algorithm combined an event by event simulation for hard collisions and multiple scattering theory for soft collisions, could be simulated for very low energy electrons. Monte Carlo damage simulation (MCDS) damage simulation code was applied to estimate the nucleotide-level maps of clustered DNA damage yields caused by different energy. To estimate the DNA damage data, MCDS employed the tendency of the DNA damage spectrum from the detailed track structural simulation, such method will relatively simple and efficient. The calculated S value and DNA damage yields had been compared with published data. The estimated cellular S values outcome would be probably less than 8% discrepancy of previous outcome from other mathematical analysis, Monte Carlo method and the experimental data. Compared with other published data, the outcome from the combination of two algorithms, was generally found accurate although some discrepancy existed. In terms of the MCDS outcome, this method could evaluate the relative biological effectiveness of each radionuclide and assist in the selection of radionuclide. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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