Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry
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. Se...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8468024 |
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| author | Mingliang Zheng |
| author_facet | Mingliang Zheng |
| author_sort | Mingliang Zheng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-911a6b6da85549d6b564d5fa62ed5e1b |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-911a6b6da85549d6b564d5fa62ed5e1b2025-08-20T02:10:03ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/84680248468024Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie SymmetryMingliang Zheng0School of Electrical and Mechanical Engineering, Taihu University of Wuxi, Wuxi 214064, ChinaIt 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.http://dx.doi.org/10.1155/2020/8468024 |
| spellingShingle | Mingliang Zheng Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry Complexity |
| title | Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry |
| title_full | Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry |
| title_fullStr | Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry |
| title_full_unstemmed | Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry |
| title_short | Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry |
| title_sort | quantitative analysis for the spread range of malignant tumor based on lie symmetry |
| url | http://dx.doi.org/10.1155/2020/8468024 |
| work_keys_str_mv | AT mingliangzheng quantitativeanalysisforthespreadrangeofmalignanttumorbasedonliesymmetry |