Numerical solution of metastatic tumor growth models with treatment

In this paper we introduce an efficient numerical method in order to solve Volterra integral equations (VIE) of the second type. We are motivated by the fact that the coupled PDE-ODE model, used to describe the metastatic tumor growth, can be reformulated in terms of VIE, whose unknowns are biological observables, such as the cumulative number of metastases and the total metastatic mass. Here in particular we focused our attention on the 2D non autonomous case, where also the treatment is considered. After reformulating the model as a VIE and introducing and studying the numerical method, we first compare it with a method previously introduced by the authors for the 1D case, and extended to the 2D case only for the sake of comparison, in term of efficiency in the run time execution. Secondly, we present numerical results on the effectiveness of different treatment protocols on the total cumulative number of metastases and the total metastatic mass. • An efficient numerical method in order to solve Volterra integral equa- tions (VIE) of the second type is introduced. • A 2D non autonomous PDE-ODE model, describing the metastatic tumor growth with treatment, is reformulated in terms of VIE. • Numerical results on the effect of different therapies on the total number of metastases and metastatic mass are presented.

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Publication Details

Journal
Applied Mathematics and Computation
Published
2024-08-12
DOI
https://doi.org/10.1016/j.amc.2024.128988
Citations
3
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
1.19
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article

Numerical solution of metastatic tumor growth models with treatment

C. Laurita, Iulia Martina Bulai, Maria Carmela De Bonis
3 citations
Applied Mathematics and Computation
Mathematical Biology Tumor Growth
1.19
article

Numerical solution of metastatic tumor growth models with treatment

C. Laurita, Iulia Martina Bulai, Maria Carmela De Bonis
article en
3 citations

Abstract

In this paper we introduce an efficient numerical method in order to solve Volterra integral equations (VIE) of the second type. We are motivated by the fact that the coupled PDE-ODE model, used to describe the metastatic tumor growth, can be reformulated in terms of VIE, whose unknowns are biological observables, such as the cumulative number of metastases and the total metastatic mass. Here in particular we focused our attention on the 2D non autonomous case, where also the treatment is considered. After reformulating the model as a VIE and introducing and studying the numerical method, we first compare it with a method previously introduced by the authors for the 1D case, and extended to the 2D case only for the sake of comparison, in term of efficiency in the run time execution. Secondly, we present numerical results on the effectiveness of different treatment protocols on the total cumulative number of metastases and the total metastatic mass. • An efficient numerical method in order to solve Volterra integral equa- tions (VIE) of the second type is introduced. • A 2D non autonomous PDE-ODE model, describing the metastatic tumor growth with treatment, is reformulated in terms of VIE. • Numerical results on the effect of different therapies on the total number of metastases and metastatic mass are presented.

Applied Mathematics and ComputationVol. 484
University of Sassari (IT), University of Basilicata (IT)
Zero hunger
Openalex Percentile: Top 24%
Mathematical Biology Tumor Growth
1.19
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Numerical solution of metastatic tumor growth models with treatment — C. Laurita, Iulia Martina Bulai, et al. · Applied Mathematics and Computation (2024) | TGRS Research Map | TGRS