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首页> 外文期刊>Health Physics: Official Journal of the Health Physics Society >A COMPARISON OF THE COG AND MCNP CODES IN COMPUTATIONAL NEUTRON CAPTURE THERAPY MODELING, PART II: GADOLINIUM NEUTRON CAPTURE THERAPY MODELS AND THERAPEUTIC EFFECTS.
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A COMPARISON OF THE COG AND MCNP CODES IN COMPUTATIONAL NEUTRON CAPTURE THERAPY MODELING, PART II: GADOLINIUM NEUTRON CAPTURE THERAPY MODELS AND THERAPEUTIC EFFECTS.

机译:计算中子捕获治疗模型中COG和MCNP编码的比较,第二部分:G中子捕获治疗模型和治疗效果。

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摘要

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.
机译:这项研究的目的是评估由劳伦斯·利弗莫尔国家实验室(Lawrence Livermore National Laboratory)开发和测试的COG蒙特卡罗辐射传输代码,用于g中子俘获治疗(GdNCT)相关建模。已经为该模型建立了COG NCT模型的有效性,并在此扩展了计算范围,以分析各种g浓度对GdNCT方式的剂量分布和细胞杀伤作用的影响,并确定治疗脑癌的最佳治疗条件。将计算结果与广泛使用的MCNP代码进行了比较。 COG和MCNP预测之间的差异通常很小,这表明COG代码可以应用于NCT中的类似研究问题。这项研究的结果还表明,当使用超热中子束时,肿瘤中浓度为100 ppm的most最为有益。

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