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Tumour–host dynamics under radiotherapy

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  • Jiménez, Rolando Placeres
  • Hernandez, Eloy Ortiz

Abstract

Tumour–host interaction is modelled by the Lotka–Volterra equations. Qualitative analysis and simulations show that this model reproduces all known states of development for tumours. Radiotherapy effect is introduced into the model by means of the linear-quadratic model and the periodic Dirac delta function. The evolution of the system under the action of radiotherapy is simulated and parameter space is obtained, from which certain threshold of effectiveness values for the frequency and applied doses are derived. A two-dimensional logistic map is derived from the modified Lotka–Volterra model and used to simulate the effectiveness of radiotherapy in different regimens of tumour development. The results show the possibility of achieving a successful treatment in each individual case by employing the correct therapeutic strategy.

Suggested Citation

  • Jiménez, Rolando Placeres & Hernandez, Eloy Ortiz, 2011. "Tumour–host dynamics under radiotherapy," Chaos, Solitons & Fractals, Elsevier, vol. 44(9), pages 685-692.
    • Handle: RePEc:eee:chsofr:v:44:y:2011:i:9:p:685-692
    DOI: 10.1016/j.chaos.2011.06.001
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    Cited by:

    1. Kemwoue, Florent Feudjio & Dongo, Jean Marie & Mballa, Rose NGONO & Gninzanlong, Carlos Lawrence & Kemayou, Marcel Wouapi & Mokhtari, Bouchra & Biya-Motto, Frederick & Atangana, Jacques, 2020. "Bifurcation, multistability in the dynamics of tumor growth and electronic simulations by the use of Pspice," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    2. Kemwoue, Florent Feudjio & Deli, Vandi & Edima, Hélène Carole & Mendimi, Joseph Marie & Gninzanlong, Carlos Lawrence & Dedzo, Mireille Mbou & Tagne, Jules Fossi & Atangana, Jacques, 2022. "Effects of delay in a biological environment subject to tumor dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    3. Jalalimanesh, Ammar & Shahabi Haghighi, Hamidreza & Ahmadi, Abbas & Soltani, Madjid, 2017. "Simulation-based optimization of radiotherapy: Agent-based modeling and reinforcement learning," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 133(C), pages 235-248.

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