当前位置: X-MOL 学术Radiat. Environ. Biophys. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Monte Carlo investigation of electron specific energy distribution in a single cell model.
Radiation and Environmental Biophysics ( IF 1.7 ) Pub Date : 2019-10-28 , DOI: 10.1007/s00411-019-00815-z
V M Markovic 1 , N Stevanovic 1 , D Nikezic 1
Affiliation  

Knowledge of microdosimetric quantities of certain radionuclides is important in radio immune cancer therapies. Specific energy distribution of radionuclides, which are bound to the cell, is the microdosimetric quantity essential in the process of radionuclide selection for patient tumour treatment. The aim of this paper is to establish an applicable method to determine microdosimetric quantities for various radionuclides. The established method is based on knowledge of microdosimetric quantities of monoenergetic electrons. In this paper these quantities are determined for the single-cell model for a range of electron energies up to [Formula: see text], using the Monte Carlo transport code PENELOPE. The results show that using monoenergetic specific energies, reconstruction of the specific energy of beta-emitting radionuclides can be successfully done with very high accuracy. Microdosimetric quantities share information about the physical processes involved and give insight about energy depositions, which is of use in the procedure of radionuclide selection for a given type of therapy.

中文翻译:

蒙特卡洛研究单细胞模型中电子比能的分布。

某些放射性核素的微量剂量知识在放射免疫癌症治疗中很重要。与细胞结合的放射性核素的比能分布是在选择放射性核素进行患者肿瘤治疗过程中必不可少的微量剂量。本文的目的是建立一种确定各种放射性核素的微量剂量的适用方法。所建立的方法是基于对单能电子的微量剂量的了解。在本文中,使用蒙特卡洛运输代码PENELOPE为单细胞模型确定了高达[公式:请参见文本]的电子能量范围内的这些量。结果表明,使用单能比能,β发射放射性核素比能的重建可以非常高精度地成功完成。微剂量量共享有关所涉及的物理过程的信息,并提供有关能量沉积的见解,这对于给定类型的治疗在放射性核素选择过程中很有用。
更新日期:2019-11-01
down
wechat
bug