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Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry

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  • Mingliang Zheng

Abstract

It provided a powerful new way for predicting the growth trend of malignant tumor and assisting the treatment of cancer patients. Firstly, a one-dimensional mathematical model for the dynamic proliferation of malignant tumors is established on the premise of related simplification and hypothesis. Secondly, according to the Lie symmetry theory, we deduce the multigroup allowed infinitely small generating elements of partial differential equations and obtain the analytic form of the exact invariant solution. Finally, the influence of the model condition parameters (oxygen concentration and inhibitor concentration) on the tumor multiplication time index T is analyzed and discussed. The results showed that when the concentration of the nutrient substance is higher than the critical concentration, the multiplication time of the tumor region approximately decreased firstly and then increased in the linear form about tumor radius under different oxygen concentrations, and at the same radius, the oxygen concentration is lower, and the multiplication time is longer; the multiplication time of the tumor region approximately decreased in the exponential form about tumor radius under different inhibitor concentrations, and at the same radius, the inhibitor concentration is higher, and the multiplication time is bigger, which are consistent with the experimental and clinical observation.

Suggested Citation

  • Mingliang Zheng, 2020. "Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry," Complexity, Hindawi, vol. 2020, pages 1-6, April.
  • Handle: RePEc:hin:complx:8468024
    DOI: 10.1155/2020/8468024
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    Cited by:

    1. Sana Abdulkream Alharbi & Azmin Sham Rambely, 2020. "A New ODE-Based Model for Tumor Cells and Immune System Competition," Mathematics, MDPI, vol. 8(8), pages 1-14, August.
    2. Mingliang Zheng, 2021. "Symmetries and Invariant Solutions for the Coagulation of Aerosols," Mathematics, MDPI, vol. 9(8), pages 1-6, April.

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