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放射性核素代谢建模中的数学复杂性:生物动力学建模中常微分方程动力学求解器的综述。

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

机构信息

Nuclear and Radiological Engineering and Medical Physics Programs, Georgia Institute of Technology, Atlanta, GA, United States of America.

出版信息

J Radiol Prot. 2024 May 21;44(2):021001. doi: 10.1088/1361-6498/ad270d.

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.

摘要

生物动力学模型已被应用于内部剂量学(ID)中,以模拟人体对放射性核素的时间依赖性滞留和排泄。因此,生物动力学模型在从内源性放射性核素的生物过程建模人体负荷方面变得非常重要,可用于前瞻性和回顾性剂量评估。生物动力学方程的解被建模为代表体内沉积物质随时间分布的耦合常微分方程(ODE)系统。同时,还开发了几种用于解决一般动力学问题的数学算法,在此基础上构建了生物动力学解算工具。本文全面回顾了一些用于模拟内部发射体分布和剂量学的已知内部剂量计算机代码所采用的数学求解方法,重点介绍了数学框架、能力和局限性。进一步的讨论详细介绍了生物动力学解的数学基础,采用了一种独特的方法与 ID 中的进展相平行。还强调了计算系统中可用数学求解器的能力。还进行了 ODE 形式、方法和求解器的调查,以突出在 ID 中利用现代工具包的能力。这是首次将生物动力学求解方法的发展作为数学求解方案和计算能力的并列进行综述,突出了辐射剂量评估中生物动力学求解的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ca1/11218551/2d5c92fc20cc/jrpad270df1_lr.jpg

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