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Radiation Protection Dosimetry
Article . 2022 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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ON RADIATION-INDUCED AGING: ACCELERATED OR PREMATURE AGING

Authors: Takahiro Wada; Tetsuhiro Kinugawa; Satoshi Tanaka;

ON RADIATION-INDUCED AGING: ACCELERATED OR PREMATURE AGING

Abstract

Abstract The concept of radiation-induced aging is revisited from the viewpoint of a mathematical model. The effect of radiation on carcinogenesis is treated based on the Armitage–Doll multi-stage theory. The formula obtained for cancer incidence rate indicates that radiation dose can be explained in terms of time. Radiation-induced aging for acute and chronic exposures is described using age-specific cancer incidence rates as a measure of aging. It shows that accelerated aging is related to the dose rate, whereas premature aging is related to the cumulative dose, providing a simple and natural interpretation of radiation-induced aging. The usefulness of this approach is demonstrated by applying the formula to cancer prevalence data from mice chronically exposed to low dose-rate radiation.

Keywords

Aging, Mice, Neoplasms, Radiation-Induced, Carcinogenesis, Incidence, Neoplasms, Animals, Aging, Premature

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
hybrid