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Dose-responses for mortality from cerebrovascular and heart diseases in atomic bomb survivors: 1950-2003.
Radiat. Environ. Biophys. 57, 17-29 (2018)
The scientific community faces important discussions on the validity of the linear no-threshold (LNT) model for radiation-associated cardiovascular diseases at low and moderate doses. In the present study, mortalities from cerebrovascular diseases (CeVD) and heart diseases from the latest data on atomic bomb survivors were analyzed. The analysis was performed with several radio-biologically motivated linear and nonlinear dose-response models. For each detrimental health outcome one set of models was identified that all fitted the data about equally well. This set was used for multi-model inference (MMI), a statistical method of superposing different models to allow risk estimates to be based on several plausible dose-response models rather than just relying on a single model of choice. MMI provides a more accurate determination of the dose response and a more comprehensive characterization of uncertainties. It was found that for CeVD, the dose-response curve from MMI is located below the linear no-threshold model at low and medium doses (0-1.4 Gy). At higher doses MMI predicts a higher risk compared to the LNT model. A sublinear dose-response was also found for heart diseases (0-3 Gy). The analyses provide no conclusive answer to the question whether there is a radiation risk below 0.75 Gy for CeVD and 2.6 Gy for heart diseases. MMI suggests that the dose-response curves for CeVD and heart diseases in the Lifespan Study are sublinear at low and moderate doses. This has relevance for radiotherapy treatment planning and for international radiation protection practices in general.
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1.527
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Ionizing Radiation ; Cardiovascular Diseases ; Atomic Bomb Survivors ; Risk Assessment ; Linear No-threshold Model ; Nonlinear Dose-response; Level Ionizing-radiation; Multimodel Inference; Apoe(-/-) Mice; Circulatory Diseases; Cardiovascular-disease; Nuclear Workers; Model Selection; Breast-cancer; Solid Cancer; Life-span
Language
Publication Year
2018
Prepublished in Year
2017
HGF-reported in Year
2017
ISSN (print) / ISBN
0301-634X
e-ISSN
1432-2099
Quellenangaben
Volume: 57,
Issue: 1,
Pages: 17-29
Publisher
Springer
Publishing Place
New York
Reviewing status
Peer reviewed
Institute(s)
Institute of Radiation Protection (ISS)
POF-Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s)
Radiation Sciences
PSP Element(s)
G-501100-004
G-501100-005
G-501100-005
WOS ID
WOS:000425287100003
Scopus ID
85037619879
PubMed ID
29222678
Erfassungsdatum
2017-12-27