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Biophysical Modeling of the Ionizing Radiation Influence on Cells Using the Stochastic (Monte Carlo) and
Krzysztof W Fornalski1,2, Łukasz Adamowski2, Ernest Bugała1
1Faculty of Physics, Warsaw University of Technology (WF PW), Poland.
Dose-Response : a Publication of International Hormesis Society
|December 2, 2022
Summary
This study presents a simplified biophysical model for cell response to ionizing radiation, incorporating Monte Carlo simulations and deterministic models to analyze neoplastic transformation, tumor growth, and radiation effects like the bystander effect.
Area of Science:
- Radiobiology
- Biophysics
- Computational Biology
Background:
- Understanding cellular responses to ionizing radiation is crucial for radiation protection and cancer therapy.
- Existing models often lack the comprehensive scope to address multiple radiobiological phenomena simultaneously.
Purpose of the Study:
- To introduce a simplified, yet comprehensive, biophysical model for predicting cellular responses to ionizing radiation.
- To integrate stochastic and deterministic approaches for a detailed analysis of radiobiological effects.
Main Methods:
- Development of a Monte Carlo simulation with a probability tree for stochastic analysis.
- Derivation of analytical deterministic models to describe specific biophysical and radiobiological phenomena.
- Incorporation of concepts like the adaptive response for modeling the priming dose effect.
Main Results:
- The model quantifies the risk of neoplastic transformation in relation to absorbed radiation dose.
- It describes the dynamics of tumor development.
- It accounts for the priming dose effect (Raper-Yonezawa effect) and the bystander effect.
Conclusions:
- The presented biophysical model offers a unified framework for studying diverse cellular responses to ionizing radiation.
- The model's adaptability allows for user-specific modifications and applications.
- This work advances the understanding of radiation-induced biological effects and provides a tool for further research.
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