最大耐受剂量(MTD)化疗是否是多形性胶质母细胞瘤的最佳化疗方案?

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Chiu-Yen Kao , Seyyed Abbas Mohammadi , Mohsen Yousefnezhad
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引用次数: 0

摘要

在本研究中,我们探讨了一个涉及反应-扩散偏微分方程(PDE)的控制问题。具体来说,重点是优化脑肿瘤治疗的化疗安排,以最大限度地减少化疗后的剩余肿瘤细胞。我们的研究结果表明,砰砰递增函数是唯一的解,从而肯定了 MTD 计划是最佳化疗方案。我们在真实的脑部图像上进行了几项数值实验,实验参数来自临床,肿瘤位于额叶、颞叶或枕叶。这些实验证实了我们的理论结果,并表明肿瘤增殖率与最佳治疗效果之间存在相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is maximum tolerated dose (MTD) chemotherapy scheduling optimal for glioblastoma multiforme?

In this study, we investigate a control problem involving a reaction–diffusion partial differential equation (PDE). Specifically, the focus is on optimizing the chemotherapy scheduling for brain tumor treatment to minimize the remaining tumor cells post-chemotherapy. Our findings establish that a bang-bang increasing function is the unique solution, affirming the MTD scheduling as the optimal chemotherapy profile. Several numerical experiments on a real brain image with parameters from clinics are conducted for tumors located in the frontal lobe, temporal lobe, or occipital lobe. They confirm our theoretical results and suggest a correlation between the proliferation rate of the tumor and the effectiveness of the optimal treatment.

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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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