The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
DOSE RESPONSE RELATIONSHIPS FOR ACUTE IONIZING-RADIATION LETHALITY
Abstract
A review and analysis of the dose response relationship for the probability of acute lethality from prompt or short-term exposure to ionizing radiation is presented. The purpose of this analysis is to provide recommendations concerning estimates of casualties expected from radiation accidents, the use of nuclear weapons, or possible terrorist activities. Previous work on acute ionizing radiation-induced lethality risk together with a collection of dose response relationships are analyzed and presented based on historical case data and expert opinion that have evolved from whole-body radiation therapy experience, radiation exposure accidents, nuclear weapon detonations, and animal experimentation. The nature of the data reviewed ranges from direct individual events to those offered according to collective expert opinion and consensus published as journal articles and in various technical documents and reports. The dose response relationships are expressed as two-parameter (median exposure level and slope) probability distribution models as a function of radiation exposure in terms of a free-in-air dose. Twelve different dose response relationships are presented and discussed, including the impact of some medical care.
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Acute whole-body absorbed doses of 6-7 Gy are considered the human LD50/60, the lethal dose for 50% of the population in 60 days, even with supportive treatment.
“Acute whole-body absorbed doses of 6 -7 Gy are considered the human LD50/60, that is, the lethal dose for 50% of the population in 60 d, even with supportive treatment (typically antibiotic and transfusion support) ( 89 ).”
From Normal-Tissue Tolerance to Radiopharmaceutical Therapies, the Knowns and the Unknowns (2021) · cites this paper as [89]
Citations
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Waselenko, J. K., MacVittie, T. J., Blakely, W. F., Pesik, N., Wiley, A. L., Dickerson, W. E., Tsu, H., Confer, D. L., Coleman, C. N., Seed, T., et al. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-140-12-200406150-00015 · Cited by 766
Modeling the acute health effects of astronauts from exposure to large solar particle events
Hu, S., Kim, M.-H. Y., McClellan, G. E., & Cucinotta, F. A. (2009) · Health Physics · doi:10.1097/01.hp.0000339020.92837.61 · Cited by 125
Normal-Tissue Tolerance to Radiopharmaceutical Therapies, the Knowns and the Unknowns
Wahl, R. L., Sgouros, G., Iravani, A., Jacene, H., Pryma, D., Saboury, B., Capala, J., & Graves, S. A. (2021) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.262751 · Cited by 95
Cancer incidence risks above and below 1 Gy for radiation protection in space
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Metadata
- Authors
- Anno, G. H., Young, R. W., Bloom, R. M., & Mercier, J. R.
- Corresponding author
- Anno, G. H.
- Venue
- Health Physics
- Published
- 2003-05
- Volume
- 84
- Issue
- 5
- Pages
- 565-575
- ISSN
- 0017-9078 (ISSN-L)
- OpenAlex
- W2037314608
- Cited by
- 148
- References
- 15
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 3 · 2023: 10 · 2022: 5 · 2021: 7 · 2020: 8 · 2019: 8 · 2018: 8 · 2017: 7 · 2016: 8 · 2015: 8 · 2014: 3 · 2013: 8 · 2012: 15
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Physics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
- Physical Sciences › Physics and Astronomy › Radiation › Radiation Therapy and Dosimetry
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
- Keywords
- dose-response relationship, ionizing radiation, radiation accidents, nuclear weapons, radiological terrorism, radiation casualties, probability distribution model, slope parameter, animal experimentation
- MeSH terms
- Animals, Dose-Response Relationship, Radiation, Humans, Lethal Dose 50, Models, Biological, Radiation Dosage, Radiation Injuries, Radiation, Ionizing, Radiometry, United States, Whole-Body Irradiation, Models, Statistical, Risk Assessment
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