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Optimal Finite Cancer Treatment Duration by Using Mixed Vaccine Therapy and Chemotherapy: State Dependent Riccati Equation Control

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  • Ali Ghaffari
  • Mostafa Nazari
  • Farhad Arab

Abstract

The main objective of this paper is to propose an optimal finite duration treatment method for cancer. A mathematical model is proposed to show the interactions between healthy and cancerous cells in the human body. To extend the existing models, the effect of vaccine therapy and chemotherapy are also added to the model. The equilibrium points and the related local stability are derived and discussed. It is shown that the dynamics of the cancer model must be changed and modified for finite treatment duration. Therefore, the vaccine therapy is used to change the parameters of the system and the chemotherapy is applied for pushing the system to the domain of attraction of the healthy state. For optimal chemotherapy, an optimal control is used based on state dependent Riccati equation (SDRE). It is shown that, in spite of eliminating the treatment, the system approaches the healthy state conditions. The results show that the development of optimal vaccine-chemotherapy protocols for removing tumor cells would be an appropriate strategy in cancer treatment. Also, the present study states that a proper treatment method not only reduces the population of the cancer cells but also changes the dynamics of the cancer.

Suggested Citation

  • Ali Ghaffari & Mostafa Nazari & Farhad Arab, 2014. "Optimal Finite Cancer Treatment Duration by Using Mixed Vaccine Therapy and Chemotherapy: State Dependent Riccati Equation Control," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, March.
  • Handle: RePEc:hin:jnljam:363109
    DOI: 10.1155/2014/363109
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    Cited by:

    1. Saganuwan Alhaji Saganuwan, 2019. "A Review of Mathematical Concepts for Calculation of Cancer Parameters," Cancer Therapy & Oncology International Journal, Juniper Publishers Inc., vol. 12(5), pages 17-24, January.

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