Literature DB >> 1730553

Biodosimetry for a radiation worker using multiple assays.

T Straume1, J N Lucas, J D Tucker, W L Bigbee, R G Langlois.   

Abstract

Four state-of-the-art biodosimeters--GPA mutations, chromosome translocations, micronuclei, and dicentrics--were used to evaluate a radiation worker who believed that the official dosimetry records substantially underestimated his actual dose. Dosimetry records indicated that the worker received 0.56 Sv during a 36-y employment history, always within the dose limits. In contrast, the worker believed that his dose equivalent may have been more than 2.5 Sv because much of the exposure was received during the early days of health physics when dosimetry capabilities and practices were not as good as they are today. Because there are no biodosimetric assays that have been fully validated for the long-term low-level exposures received by the worker, we did not expect to obtain particularly useful point-estimates of dose. However, because the discrepancy between the dosimetry records and the worker's belief was so large, we believed that biodosimetry using multiple assays together with probabilistic assessment of the uncertainties would provide useful insight. Results showed that the frequencies of chromosome translocations and GPA mutations (stable biodosimeters) were significantly elevated when compared with those for unexposed controls. Our analysis suggests that dose-equivalent estimates in the approximately 0.4 to approximately 2 Sv range (which include the value in the dosimetry records) cannot be confidently excluded at this time based on biodosimetry; however, a value greater than 2.5 Sv appears unlikely. Important new information on the temporal stability of chromosome translocations is also presented.

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Year:  1992        PMID: 1730553     DOI: 10.1097/00004032-199202000-00001

Source DB:  PubMed          Journal:  Health Phys        ISSN: 0017-9078            Impact factor:   1.316


  10 in total

Review 1.  Radiation signature on exposed cells: Relevance in dose estimation.

Authors:  Venkatachalam Perumal; Tamizh Selvan Gnana Sekaran; Venkateswarlu Raavi; Safa Abdul Syed Basheerudeen; Karthik Kanagaraj; Amith Roy Chowdhury; Solomon Fd Paul
Journal:  World J Radiol       Date:  2015-09-28

2.  The sensitivity of the in vitro cytokinesis-blocked micronucleus assay in lymphocytes for different and combined radiation qualities.

Authors:  K Wuttke; W U Müller; C Streffer
Journal:  Strahlenther Onkol       Date:  1998-05       Impact factor: 3.621

3.  Paternally inherited chromosomal structural aberrations detected in mouse first-cleavage zygote metaphases by multicolour fluorescence in situ hybridization painting.

Authors:  F Marchetti; X Lowe; D H Moore; J Bishop; A J Wyrobek
Journal:  Chromosome Res       Date:  1996-12       Impact factor: 5.239

4.  Chromosome Translocations, Inversions and Telomere Length for Retrospective Biodosimetry on Exposed U.S. Atomic Veterans.

Authors:  Miles J McKenna; Erin Robinson; Lynn Taylor; Christopher Tompkins; Michael N Cornforth; Steven L Simon; Susan M Bailey
Journal:  Radiat Res       Date:  2019-02-04       Impact factor: 2.841

5.  Solid cancer incidence among Chinese medical diagnostic x-ray workers, 1950-1995: Estimation of radiation-related risks.

Authors:  Zhijuan Sun; Peter D Inskip; Jixian Wang; Deukwoo Kwon; Yongcheng Zhao; Liangan Zhang; Qin Wang; Saijun Fan
Journal:  Int J Cancer       Date:  2016-03-25       Impact factor: 7.396

6.  Chromosome translocations: a biomarker for retrospective biodosimetry.

Authors:  J N Lucas
Journal:  Environ Health Perspect       Date:  1997-12       Impact factor: 9.031

7.  The development of chromosome-specific composite DNA probes for the mouse and their application to chromosome painting.

Authors:  J W Breneman; M J Ramsey; D A Lee; G G Eveleth; J L Minkler; J D Tucker
Journal:  Chromosoma       Date:  1993-11       Impact factor: 4.316

8.  Somatic mutations at the glycophorin A (GPA) locus measured in red cells of Chernobyl liquidators who immigrated to Israel.

Authors:  V Y Wishkerman; M R Quastel; A Douvdevani; J R Goldsmith
Journal:  Environ Health Perspect       Date:  1997-12       Impact factor: 9.031

9.  Identification of gene expression biomarkers for predicting radiation exposure.

Authors:  Tzu-Pin Lu; Yi-Yao Hsu; Liang-Chuan Lai; Mong-Hsun Tsai; Eric Y Chuang
Journal:  Sci Rep       Date:  2014-09-05       Impact factor: 4.379

10.  The importance of age and smoking in evaluating adverse cytogenetic effects of exposure to environmental agents.

Authors:  J D Tucker; D H Moore
Journal:  Environ Health Perspect       Date:  1996-05       Impact factor: 9.031

  10 in total

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