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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Fornalski, Krzysztof W. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9706082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-97060822022-11-30 Biophysical Modeling of the Ionizing Radiation Influence on Cells Using the Stochastic (Monte Carlo) and Deterministic (Analytical) Approaches 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 Dose Response Low-dose scientific debate: data and scientific ethics - a special issue to commemorate Ludwik Dobrzynski 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. SAGE Publications 2022-11-23 /pmc/articles/PMC9706082/ /pubmed/36458282 http://dx.doi.org/10.1177/15593258221138506 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Low-dose scientific debate: data and scientific ethics - a special issue to commemorate Ludwik Dobrzynski 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 Biophysical Modeling of the Ionizing Radiation Influence on Cells Using the Stochastic (Monte Carlo) and Deterministic (Analytical) Approaches |
title | Biophysical Modeling of the Ionizing Radiation Influence on Cells
Using the Stochastic (Monte Carlo) and Deterministic (Analytical)
Approaches |
title_full | Biophysical Modeling of the Ionizing Radiation Influence on Cells
Using the Stochastic (Monte Carlo) and Deterministic (Analytical)
Approaches |
title_fullStr | Biophysical Modeling of the Ionizing Radiation Influence on Cells
Using the Stochastic (Monte Carlo) and Deterministic (Analytical)
Approaches |
title_full_unstemmed | Biophysical Modeling of the Ionizing Radiation Influence on Cells
Using the Stochastic (Monte Carlo) and Deterministic (Analytical)
Approaches |
title_short | Biophysical Modeling of the Ionizing Radiation Influence on Cells
Using the Stochastic (Monte Carlo) and Deterministic (Analytical)
Approaches |
title_sort | biophysical modeling of the ionizing radiation influence on cells
using the stochastic (monte carlo) and deterministic (analytical)
approaches |
topic | Low-dose scientific debate: data and scientific ethics - a special issue to commemorate Ludwik Dobrzynski |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706082/ https://www.ncbi.nlm.nih.gov/pubmed/36458282 http://dx.doi.org/10.1177/15593258221138506 |
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