Modeling and Analyzing the Effect of a Radiation Therapy on Tumor Growth

Katey Burner, Qing Wang

Abstract


Radiotherapy (RT) is one of the most common and effective cancer treatment options, even being used in more than half of all cases to cure cancer in high income countries. Due to the need for radiation therapy, research into maximizing the effectiveness of RT is critical. Mathematical modeling and computer simulations provide powerful tools to investigate potential optimal dosage and timing for tumor control. In this work, we have developed a mathematical model using a system of impulsive ordinary differential equations (IODE) to describe how RT interacts with other major players of the tumor microenvironment. Stability analysis was conducted for the tumor-free equilibrium. Future work includes analyzing ways to maximize the effects of RT using computer simulations. The objective of this study was to develop a platform to improve cancer management by manipulating dose and fractionation schedules of RT. This study is supported by NIH Grant P20GM103434 to the West Virginia IDeA Network for Biomedical Research Excellence.


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