Biomedical Physics Division, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, 02-093 Warsaw, Poland.
Radiological Metrology and Biomedical Physics Division, Nuclear Facilities Operations Department, National Centre for Nuclear Research, 05-400 Świerk, Poland.
Int J Mol Sci. 2024 May 7;25(10):5094. doi: 10.3390/ijms25105094.
Details of excitation and ionization acts hide a description of the biological effects of charged particle traversal through living tissue. Nanodosimetry enables the introduction of novel quantities that characterize and quantify the particle track structure while also serving as a foundation for assessing biological effects based on this quantification. This presents an opportunity to enhance the planning of charged particle radiotherapy by taking into account the ionization detail. This work uses Monte Carlo simulations with Geant4-DNA code for a wide variety of charged particles and their radiation qualities to analyze the distribution of ionization cluster sizes within nanometer-scale volumes, similar to DNA diameter. By correlating these results with biological parameters extracted from the PIDE database for the V79 cell line, a novel parameter R2 based on ionization details is proposed for the evaluation of radiation quality in terms of biological consequences, i.e., radiobiological cross section for inactivation. By incorporating the probability of sub-lethal damage caused by a single ionization, we address limitations associated with the usually proposed nanodosimetric parameter Fk for characterizing the biological effects of radiation. We show that the new parameter R2 correlates well with radiobiological data and can be used to predict biological outcomes.
激发和电离作用的细节隐藏了带电粒子穿过生物组织的生物效应的描述。纳米剂量学使得能够引入新的量,这些量可以描述和量化粒子轨迹结构,同时也为基于这种量化来评估生物效应提供了基础。这为考虑电离细节来增强带电粒子放射治疗的规划提供了机会。这项工作使用 Geant4-DNA 代码对各种带电粒子及其辐射质量进行蒙特卡罗模拟,以分析类似于 DNA 直径的纳米级体积内的电离簇大小分布。通过将这些结果与 V79 细胞系的 PIDE 数据库中提取的生物参数相关联,提出了一种基于电离细节的新参数 R2,用于评估辐射质量对生物后果的影响,即失活的放射生物学截面。通过纳入由单次电离引起的亚致死损伤的概率,我们解决了通常用于描述辐射生物效应的纳米剂量学参数 Fk 所存在的局限性。我们表明,新参数 R2 与放射生物学数据很好地相关,可以用于预测生物学结果。