A comparison of the COG and MCNP codes in computational neutron capture therapy modeling, Part II: gadolinium neutron capture therapy models and therapeutic effects
| Autor: | Christopher N Culbertson, Tatjana Jevremovic, Kristen A. Wangerin |
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| Rok vydání: | 2005 |
| Předmět: |
Epidemiology
Health Toxicology and Mutagenesis Gadolinium Nuclear engineering Software Validation Monte Carlo method chemistry.chemical_element Dose distribution Models Biological Cog Isotopes Neoplasms Humans Radiology Nuclear Medicine and imaging Neutron Computer Simulation Radiometry Physics business.industry Radiotherapy Planning Computer-Assisted Radiotherapy Dosage Neutron Capture Therapy Epithermal neutron Radiotherapy Computer-Assisted Neutron capture Treatment Outcome chemistry Body Burden Nuclear medicine business National laboratory Relative Biological Effectiveness Software |
| Zdroj: | Health physics. 89(2) |
| ISSN: | 0017-9078 |
| Popis: | The goal of this study was to evaluate the COG Monte Carlo radiation transport code, developed and tested by Lawrence Livermore National Laboratory, for gadolinium neutron capture therapy (GdNCT) related modeling. The validity of COG NCT model has been established for this model, and here the calculation was extended to analyze the effect of various gadolinium concentrations on dose distribution and cell-kill effect of the GdNCT modality and to determine the optimum therapeutic conditions for treating brain cancers. The computational results were compared with the widely used MCNP code. The differences between the COG and MCNP predictions were generally small and suggest that the COG code can be applied to similar research problems in NCT. Results for this study also showed that a concentration of 100 ppm gadolinium in the tumor was most beneficial when using an epithermal neutron beam. |
| Databáze: | OpenAIRE |
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