Effects of Pharmacokinetics and DNA Repair on the Structure of Optimal Controls in a Simple Model of Radio-Chemotherapy

P. Bajger, K. Fujarewicz, A. Świerniak
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引用次数: 6

Abstract

In this study optimal control framework is applied to two models of radiochemotherapy. A base, simple model adopts a classical log-kill hypothesis for chemotherapy and a linear-quadratic response for radiotherapy. The model is represented by the first order nonlinear differential equations with two control variables which can be transformed into a linear differential equations with a nonlinear control action. The multi-input optimal control problem formulated for this model is solved explicitly. It is shown that optimal treatment should apply radiotherapy first, while the onset of chemotherapy should be delayed. The second model takes into account the effects of drug metabolism (pharmacokinetics) and DNA repair of adjacent strand breaks. By obtaining full analytical results for chemotherapy control and partial results for radiotherapy it is shown that an introduction of these additional processes alters the structure of optimal control, which sometimes leads to opposite conclusions. A numerical example is provided which suggests that in practice the differences may not be as critical as the purely theoretical results would suggest.
药代动力学和DNA修复对简单放化疗模型最优控制结构的影响
本研究将最优控制框架应用于两种放化疗模型。一个基本的、简单的模型对化疗采用经典的对数杀伤假设,对放疗采用线性二次响应。该模型由两个控制变量的一阶非线性微分方程表示,该方程可转化为具有非线性控制作用的线性微分方程。明确地求解了该模型的多输入最优控制问题。结果表明,最佳的治疗方法是先进行放疗,而化疗的开始应推迟。第二个模型考虑了药物代谢(药代动力学)和DNA修复邻近链断裂的影响。通过获得化疗控制的完整分析结果和放疗的部分结果,表明引入这些附加过程会改变最优控制的结构,有时会导致相反的结论。文中还提供了一个数值例子,表明在实践中,这种差异可能并不像纯理论结果所表明的那样重要。
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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