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基于脉冲控制理论的肿瘤化疗策略

Tumour chemotherapy strategy based on impulse control theory.

作者信息

Ren Hai-Peng, Yang Yan, Baptista Murilo S, Grebogi Celso

机构信息

Shaanxi Key Laboratory of CSCIIP, Xi'an University of Technology, Xi'an 710048, People's Republic of China

Shaanxi Key Laboratory of CSCIIP, Xi'an University of Technology, Xi'an 710048, People's Republic of China.

出版信息

Philos Trans A Math Phys Eng Sci. 2017 Mar 6;375(2088). doi: 10.1098/rsta.2016.0221.

DOI:10.1098/rsta.2016.0221
PMID:28115618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5311440/
Abstract

Chemotherapy is a widely accepted method for tumour treatment. A medical doctor usually treats patients periodically with an amount of drug according to empirical medicine guides. From the point of view of cybernetics, this procedure is an impulse control system, where the amount and frequency of drug used can be determined analytically using the impulse control theory. In this paper, the stability of a chemotherapy treatment of a tumour is analysed applying the impulse control theory. The globally stable condition for prescription of a periodic oscillatory chemotherapeutic agent is derived. The permanence of the solution of the treatment process is verified using the Lyapunov function and the comparison theorem. Finally, we provide the values for the strength and the time interval that the chemotherapeutic agent needs to be applied such that the proposed impulse chemotherapy can eliminate the tumour cells and preserve the immune cells. The results given in the paper provide an analytical formula to guide medical doctors to choose the theoretical minimum amount of drug to treat the cancer and prevent harming the patients because of over-treating.This article is part of the themed issue 'Horizons of cybernetical physics'.

摘要

化疗是一种被广泛接受的肿瘤治疗方法。医生通常根据经验医学指南定期给患者使用一定量的药物进行治疗。从控制论的角度来看,这个过程是一个脉冲控制系统,其中使用的药物量和频率可以通过脉冲控制理论进行分析确定。在本文中,应用脉冲控制理论分析了肿瘤化疗治疗的稳定性。推导了周期性振荡化疗药物处方的全局稳定条件。使用李雅普诺夫函数和比较定理验证了治疗过程解的持久性。最后,我们给出了化疗药物需要应用的强度和时间间隔的值,以便所提出的脉冲化疗能够消除肿瘤细胞并保留免疫细胞。本文给出的结果提供了一个解析公式,以指导医生选择治疗癌症的理论最小药物量,并防止因过度治疗而伤害患者。本文是主题为“控制论物理学的前沿”的特刊的一部分。

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引用本文的文献

1
Horizons of cybernetical physics.控制论物理学的视野
Philos Trans A Math Phys Eng Sci. 2017 Mar 6;375(2088). doi: 10.1098/rsta.2016.0223.

本文引用的文献

1
Model for tumour growth with treatment by continuous and pulsed chemotherapy.采用连续和脉冲化疗进行治疗的肿瘤生长模型。
Biosystems. 2014 Feb;116:43-8. doi: 10.1016/j.biosystems.2013.12.001. Epub 2013 Dec 9.
2
Absolute stability and dynamical stabilisation in predator-prey systems.
J Math Biol. 2014 May;68(6):1403-21. doi: 10.1007/s00285-013-0672-8. Epub 2013 Apr 10.
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Optimal response to chemotherapy for a mathematical model of tumor-immune dynamics.肿瘤-免疫动力学数学模型对化疗的最佳反应
J Math Biol. 2012 Feb;64(3):557-77. doi: 10.1007/s00285-011-0424-6. Epub 2011 May 8.
4
Extinction and permanence of a two-prey one-predator system with impulsive effect.具有脉冲效应的两食饵一捕食者系统的灭绝与持久性
Math Med Biol. 2003 Dec;20(4):309-25. doi: 10.1093/imammb/20.4.309.
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A delay differential equation model for tumor growth.一种肿瘤生长的延迟微分方程模型。
J Math Biol. 2003 Sep;47(3):270-94. doi: 10.1007/s00285-003-0211-0. Epub 2003 May 15.
6
A mathematical model of periodically pulsed chemotherapy: tumor recurrence and metastasis in a competitive environment.周期性脉冲化疗的数学模型:竞争环境中的肿瘤复发与转移
Bull Math Biol. 1996 May;58(3):425-47. doi: 10.1007/BF02460591.