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April 23, 2026Mathematical Medicine and Biology A Journal of the IMA0 citations

Dynamical Analysis of an Impulsive Model of Cancer Cell Populations Under Radiotherapy

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ALAbigail D’Ovidio LongBDBo DengHDHuijing Du

Key Points

  • The aim is to analyze a mathematical model of cancer cell populations responding to radiotherapy, particularly its dynamics and stability under treatment.
  • Developed an impulsive differential equation model for cancer treatment with radiation therapy.
  • Analyzed conditions for persistence and eradication of cancer cell volumes, investigating stable periodic solutions.
  • Conducted numerical simulations to validate theoretical findings.
  • The original model suggests that periodic solutions, if they exist, are unstable.
  • A modified model indicates radiation therapy is more effective, allowing for globally stable periodic solutions.
  • Numerical simulations support the theoretical results, demonstrating possible regression in tumor growth patterns.

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.

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Cite This Study

Long et al. (2026) studied this question.

synapsesocial.com/papers/69e9baa885696592c86ecc64https://doi.org/10.1093/imammb/dqag004
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