Dynamical analysis of an impulsive model of cancer cell populations under radiotherapy

An impulsive differential equation model of cancer treatment by radiation therapy (RT) is studied. Analytical results for the model's persistence and eradication of cancer cell volumes are obtained to illuminate the dynamics between tumor growth and RT. It is also shown that, although periodic solutions may exist, they are necessarily unstable. A modified model is then proposed, assuming that RT is more effective than the first model assumes. In addition to similar results as for the original model, conditions are obtained under which periodic solution exists and is globally stable, showing the possibility that regression can occur in periodicity. Numerical simulations are provided to confirm the results.

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Publication Details

Journal
Mathematical Medicine and Biology A Journal of the IMA
Published
2026-04-16
DOI
https://doi.org/10.1093/imammb/dqag004
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Dynamical analysis of an impulsive model of cancer cell populations under radiotherapy

Bo Deng, Huijing Du, Abigail D’Ovidio Long
Mathematical Medicine and Biology A Journal of the IMA
Mathematical Biology Tumor Growth
article

Dynamical analysis of an impulsive model of cancer cell populations under radiotherapy

Bo Deng, Huijing Du, Abigail D’Ovidio Long
article en

Abstract

An impulsive differential equation model of cancer treatment by radiation therapy (RT) is studied. Analytical results for the model's persistence and eradication of cancer cell volumes are obtained to illuminate the dynamics between tumor growth and RT. It is also shown that, although periodic solutions may exist, they are necessarily unstable. A modified model is then proposed, assuming that RT is more effective than the first model assumes. In addition to similar results as for the original model, conditions are obtained under which periodic solution exists and is globally stable, showing the possibility that regression can occur in periodicity. Numerical simulations are provided to confirm the results.

Mathematical Medicine and Biology A Journal of the IMA
University of Nebraska–Lincoln (US), Muhlenberg College (US)
Good health and well-being
Openalex Percentile: Top 19%
Mathematical Biology Tumor Growth
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