Journal
DOSE-RESPONSE
Volume 20, Issue 4, Pages -Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/15593258221138506
Keywords
low-dose modeling; radiation risk; adaptive response; Monte Carlo; dose response; low dose
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This review article presents a simplified biophysical model that describes the response of cells to ionizing radiation. The model, based on extensive studies, combines a comprehensive stochastic approach with detailed deterministic models to describe various biophysical and radiobiological phenomena, including tumor development, priming dose effect, and bystander effect.
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.
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