Mathematical complexities in radionuclide metabolic modelling: a review of ordinary differential equation kinetics solvers in biokinetic modelling.

IF 1.4 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Emmanuel Matey Mate-Kole, Shaheen Azim Dewji
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引用次数: 0

Abstract

Biokinetic models have been employed in internal dosimetry (ID) to model the human body's time-dependent retention and excretion of radionuclides. Consequently, biokinetic models have become instrumental in modelling the body burden from biological processes from internalized radionuclides for prospective and retrospective dose assessment. Solutions to biokinetic equations have been modelled as a system of coupled ordinary differential equations (ODEs) representing the time-dependent distribution of materials deposited within the body. In parallel, several mathematical algorithms were developed for solving general kinetic problems, upon which biokinetic solution tools were constructed. This paper provides a comprehensive review of mathematical solving methods adopted by some known internal dose computer codes for modelling the distribution and dosimetry for internal emitters, highlighting the mathematical frameworks, capabilities, and limitations. Further discussion details the mathematical underpinnings of biokinetic solutions in a unique approach paralleling advancements in ID. The capabilities of available mathematical solvers in computational systems were also emphasized. A survey of ODE forms, methods, and solvers was conducted to highlight capabilities for advancing the utilization of modern toolkits in ID. This review is the first of its kind in framing the development of biokinetic solving methods as the juxtaposition of mathematical solving schemes and computational capabilities, highlighting the evolution in biokinetic solving for radiation dose assessment.

放射性核素代谢模型的数学复杂性:生物动力学建模中的常微分方程动力学求解器综述。
生物动力学模型已被用于体内剂量测定,以模拟人体对放射性核素随时间变化的滞留和排泄。因此,生物动力学模型在模拟内化放射性核素的生物过程对人体造成的负担方面发挥了重要作用,可用于前瞻性和回顾性剂量评估。生物动力学方程的解被模拟为一个耦合常微分方程(ODE)系统,代表了沉积在体内的物质随时间变化的分布情况。与此同时,还开发出了几种解决一般动力学问题的数学算法,并在此基础上构建了生物动力学求解工具。本文全面回顾了一些已知体内剂量计算机代码所采用的数学求解方法,这些方法用于对体内发射体的分布和剂量进行建模,重点介绍了数学框架、其能力和局限性。进一步的讨论详细介绍了生物动力学解决方案的数学基础,这种独特的方法将体内剂量学的进步与计算系统中可用数学求解器的能力相提并论。对 ODE 形式、方法和求解器(包括专门使用 Python 编程语言的最先进求解器)进行了调查,以突出现代能力,推动在体内剂量测定中使用现代工具包。本综述是首次对生物动力学求解方法和基础知识进行全面分析,以了解生物动力学建模的计算需求、方案和实施,从而加快辐射剂量评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Radiological Protection
Journal of Radiological Protection 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
2.60
自引率
26.70%
发文量
137
审稿时长
18-36 weeks
期刊介绍: Journal of Radiological Protection publishes articles on all aspects of radiological protection, including non-ionising as well as ionising radiations. Fields of interest range from research, development and theory to operational matters, education and training. The very wide spectrum of its topics includes: dosimetry, instrument development, specialized measuring techniques, epidemiology, biological effects (in vivo and in vitro) and risk and environmental impact assessments. The journal encourages publication of data and code as well as results.
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