Smirnova O A
*Federal State Unitary Enterprise Research and Technical Center of Radiation-Chemical Safety and Hygiene, 40 Shchukinskaya st., Moscow, 123182, Russian Federation.
Health Phys. 2015 May;108(5):492-502. doi: 10.1097/HP.0000000000000259.
A dynamic modeling approach to the risk assessment of radiogenic myeloid leukemia is proposed. A basic tool of this approach is a biologically motivated mathematical model of the granulocytopoietic system, which is capable of predicting the dynamics of blood granulocytes and bone marrow granulocytopoietic cells in acutely and chronically irradiated humans. The performed modeling studies revealed that the dose dependence of the scaled maximal concentration of bone marrow granulocytopoietic cells with radiation-induced changes, which make a cell premalignant, and the dose dependence of the scaled integral of the concentration of these cells over the period of the response of the granulocytopoietic system to acute irradiation conform to the dose dependence of excess relative risk for myeloid leukemia among atomic bomb survivors in a wide range of doses and in a range of comparatively low doses, respectively. Additionally, the dose dependence of the scaled integral of the concentration of these cells over the period of the response of the granulocytopoietic system to continuous irradiation with the dose rate and durations, which were used in brachytherapy, conforms to the dose dependence of excess relative risk for leukemia among the respective groups of exposed patients. These modeling findings demonstrate the potential to use the proposed modeling approach for predicting the excess relative risk for myeloid leukemia among humans exposed to various radiation regimes. Obviously, this is especially important in the assessment of the risks for radiogenic myeloid leukemia among people residing in contaminated areas after an accident or explosion of a radiological device, among astronauts on long-term space missions, as well as among patients treated with radiotherapy.
提出了一种用于放射性髓系白血病风险评估的动态建模方法。该方法的一个基本工具是粒细胞生成系统的生物学驱动数学模型,它能够预测急性和慢性照射人群中血液粒细胞和骨髓粒细胞生成细胞的动态变化。所进行的建模研究表明,骨髓粒细胞生成细胞的标度最大浓度与辐射诱导的使细胞成为癌前细胞的变化之间的剂量依赖性,以及在粒细胞生成系统对急性照射的反应期内这些细胞浓度的标度积分与剂量的依赖性,分别在广泛的剂量范围和相对低剂量范围内符合原子弹幸存者中髓系白血病超额相对风险与剂量的依赖性。此外,在近距离放射治疗中使用的剂量率和持续时间的连续照射下,粒细胞生成系统反应期内这些细胞浓度的标度积分与剂量的依赖性,符合相应暴露患者组中白血病超额相对风险与剂量的依赖性。这些建模结果表明,所提出的建模方法有潜力用于预测暴露于各种辐射方案的人群中髓系白血病的超额相对风险。显然,这在评估放射性装置事故或爆炸后居住在受污染地区的人群、长期太空任务中的宇航员以及接受放射治疗的患者中放射性髓系白血病的风险时尤为重要。