2020
DOI: 10.1080/09553002.2020.1784490
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Biologically based models of cancer risk in radiation research

Abstract: Purpose: In radiation risk analysis the state-of-the-art approach is based on descriptive models which link excess rates of cancer incidence and mortality to radiation exposure by statistical association. To estimate the number of sporadic and radiation-induced cases descriptive models apply parametric dose response function which directly determine the radiation risk. In biologically-based models of cancer risk (BBCR models) dose responses are implemented for key events on the biological level such as early m… Show more

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Cited by 11 publications
(3 citation statements)
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“…For cancer, integration of epidemiology and biology has long been discussed (246,247), and epidemiological data have been applied to several biologically based mechanistic models (248,249). The integrative approach would also indeed be needed for cataracts (250), DCS (247) and other noncancer effects, but such studies are very limited, e.g., for cataracts (251) and DCS (252)(253)(254)(255).…”
Section: Integration Of Epidemiology and Biologymentioning
confidence: 99%
“…For cancer, integration of epidemiology and biology has long been discussed (246,247), and epidemiological data have been applied to several biologically based mechanistic models (248,249). The integrative approach would also indeed be needed for cataracts (250), DCS (247) and other noncancer effects, but such studies are very limited, e.g., for cataracts (251) and DCS (252)(253)(254)(255).…”
Section: Integration Of Epidemiology and Biologymentioning
confidence: 99%
“…In these analyses, excess risk models with a linear, linear-quadratic or a purely quadratic dependency in radiation dose are typically fitted to cohort data to examine the possible form of the dose-response curve that best describes the data. Another approach is to translate the (limited) radiobiological understanding of a disease into a mechanistic mathematical model to study the doseresponse curve (Preston 2017;Shuryak 2019;Kaiser et al 2021). Stouten et al (2021) presented a mathematical model to quantify the dose-response curve of the major radiation-induced acute myeloid leukemia (rAML) pathway in photon-irradiated male CBA/H mice.…”
Section: Introductionmentioning
confidence: 99%
“…Neither the equivalent nor effective dose should be used to estimate the risk of cancer in any specific organ or tissue (Harrison et al, 2016). Effective dose is not predictive of future cancer incidence in individuals or demographic groups because its theoretical and mathematical underpinnings are not depending on radiobiological correlations between dose and influence for individual organs or tissues (Kaiser et al, 2021). Fukushima and Chernobyl provide extremely uncommon chances to learn from the implementation of radiation safety instructions and techniques in difficult, real-world conditions.…”
mentioning
confidence: 99%