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Biophysical Modeling of the Ionizing Radiation Influence on Cells Using the Stochastic (Monte Carlo) and Deterministic (Analytical) Approaches

This review article describes our simplified biophysical model for the response of a group of cells to ionizing radiation. The model, which is a product of 10 years of studies, acts as (a) a comprehensive stochastic approach based on the Monte Carlo simulation with a probability tree and (b) the the...

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Detalles Bibliográficos
Autores principales: Fornalski, Krzysztof W., Adamowski, Łukasz, Bugała, Ernest, Jarmakiewicz, Rafał, Kirejczyk, Marek, Kopyciński, Jakub, Krasowska, Julianna, Kukulski, Piotr, Piotrowski, Łukasz, Ponikowska, Julia, Reszczyńska, Joanna, Słonecka, Iwona, Wysocki, Paweł, Dobrzyński, Ludwik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706082/
https://www.ncbi.nlm.nih.gov/pubmed/36458282
http://dx.doi.org/10.1177/15593258221138506
Descripción
Sumario:This review article describes our simplified biophysical model for the response of a group of cells to ionizing radiation. The model, which is a product of 10 years of studies, acts as (a) a comprehensive stochastic approach based on the Monte Carlo simulation with a probability tree and (b) the thereof derived detailed deterministic models describing the selected biophysical and radiobiological phenomena in an analytical manner. Specifically, the presented model describes effects such as the risk of neoplastic transformation of cells relative to the absorbed radiation dose, the dynamics of tumor development, the priming dose effect (also called the Raper–Yonezawa effect) based on the introduced adaptive response approach, and the bystander effect. The model is also modifiable depending on users’ potential needs.