硼中子俘获治疗中细胞损伤的Monte Carlo模拟与分析
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摘要
理想的肿瘤治疗方法应能够选择性地杀死肿瘤细胞,而几乎不损害周围正常组织的结构与功能。目前临床上常用的放疗方法如~(60)Co、X射线、立体定向放射治疗等,很难做到二者兼顾。而硼中子俘获治疗技术(Boron Neutron Capture Therapy,简称BNCT)的特点是在肿瘤细胞内发挥作用,基本上不会损伤正常细胞,因此,BNCT技术作为一种前景广阔的放疗手段,越来越受到世界各国重视。
     掌握Li离子及α粒子在细胞和亚细胞水平上的微观剂量分布及细胞内微观损伤分布,是改善BNCT疗效的重要环节,因而微剂量学研究是BNCT领域中一大研究热点。在微观上,载能离子与生物体相互作用的原初物理过程,是研究微剂量学及其相关生物效应的基础。然而由于实验设备及技术手段的制约,目前,对于载能离子在细胞和亚细胞水平上的微观作用过程,还不能精确地观察及测量。因此,本工作首先建立精确的人体肿瘤细胞模型,借助先进的计算机技术,采用基于Monte Carlo方法的SRIM程序精确模拟了BNCT中载能离子与细胞相互作用的物理过程,通过分析粒子的射程分布、径迹结构、细胞内损伤情况以及微观剂量分布等,研究了肿瘤细胞的各种生物效应,此外,还模拟了当硼原子位于细胞中不同位置时,在肿瘤细胞中的能量沉积及细胞的损伤情况,通过分析得到有意义的结论,从而为BNCT的进一步研究提供了基本数据和理论依据。
The best therapy technique for tumor can kill tumor cells and has only minor effect on healthy cells. It doesn't meet the two requirements above at the same time for conventional radiation treatment such as 60Co therapy , X ray therapy and stereotactic radiosurgery & radiotherapy at present. Boron neutron capture therapy (BNCT) has a promising development in tumor treatment for it can achieve selectivity at the cellular level.
    It's very important for BNCT to know the microdosimetry and damage distributing at cellular and subcellular level. The physics process of interaction between energetic ions and tumor cells provides the foundation for researching the microdosimetry and relative biological effect. For lack of laboratory apparatus and technique, it's very hard to observe the micro-process between energetic ions and tumor cells at present. So the interaction between -particle produced from the 10B(n, )7Li neutron capture reaction and tumor cells has been simulated by SRIM code based on Monte Carlo technique in this paper. The biological effect of tumor cells has been studied by analyzing the track and depth of the particles, the deposition of energy and the damage of target. And the deposited energy of the a -particles in the different position of the cell model has also been calculated by the SRIM code in this paper and the structure damage to the tumor cell has been simulated. The computed results are compared and analyzed. The results are very helpful to understand the distribution of microdosimetry at cellular and subcellular level. And this would provide theory and support for BNCT.
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