Literature DB >> 22171959

Detection of partial-body exposure to ionizing radiation by the automatic detection of dicentrics.

Aurelie Vaurijoux1, Eric Gregoire, Sandrine Roch-Lefevre, Pascale Voisin, Cecile Martin, Philippe Voisin, Laurence Roy, Gaetan Gruel.   

Abstract

In accidental exposure to ionizing radiation, it is essential to estimate the dose received by the victims. Currently dicentric scoring is the best biological indicator of exposure. The standard biological dosimetry procedure (500 metaphases scored manually) is suitable for a few dose estimations, but the time needed for analysis can be problematic in the case of a large-scale accident. Recently, a new methodology using automatic detection of dicentrics has greatly decreased the time needed for dose estimation and preserves the accuracy of the estimation. However, the capability to detect nonhomogeneous partial-body exposures is an important advantage of dicentric scoring-based biodosimetry, and this remains to be tested with automatic scoring. Thus we analyzed the results obtained with in vitro blood dilutions and in real cases of accidental exposure (partial- or whole-body exposure) using manual scoring and automatic detection of dicentrics. We confirmed that automatic detection allows threefold quicker dicentric scoring than the manual procedure with similar dose estimations and uncertainty intervals. The results concerning partial-body exposures were particularly promising, and homogeneously exposed samples were correctly distinguished from heterogeneously exposed samples containing 5% to 75% of blood irradiated with 2 Gy. In addition, the results obtained for real accident cases were similar whatever the methodology used. This study demonstrates that automatic detection of dicentrics is a credible alternative for recent and acute cases of whole- and partial-body accidental exposures to ionizing radiation.

Mesh:

Year:  2011        PMID: 22171959     DOI: 10.1667/rr2728.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  6 in total

1.  Automated analysis of the cytokinesis-block micronucleus assay for radiation biodosimetry using imaging flow cytometry.

Authors:  M A Rodrigues; L A Beaton-Green; B C Kutzner; R C Wilkins
Journal:  Radiat Environ Biophys       Date:  2014-03-07       Impact factor: 1.925

Review 2.  State-of-the-Art Advances in Radiation Biodosimetry for Mass Casualty Events Involving Radiation Exposure.

Authors:  Mary Sproull; Kevin Camphausen
Journal:  Radiat Res       Date:  2016-10-06       Impact factor: 2.841

Review 3.  Unraveling the 3D genome of human malaria parasites.

Authors:  Gayani Batugedara; Karine G Le Roch
Journal:  Semin Cell Dev Biol       Date:  2018-07-27       Impact factor: 7.727

Review 4.  2013 Dade W. Moeller lecture: medical countermeasures against radiological terrorism.

Authors:  John E Moulder
Journal:  Health Phys       Date:  2014-08       Impact factor: 1.316

5.  Optimizing the Microscopy Time Schedule for Chromosomal Dosimetry of High-dose and Partial-body Irradiations.

Authors:  Volodymyr A Vinnikov
Journal:  Genome Integr       Date:  2017-01-23

Review 6.  Scientific and Logistical Considerations When Screening for Radiation Risks by Using Biodosimetry Based on Biological Effects of Radiation Rather than Dose: The Need for Prior Measurements of Homogeneity and Distribution of Dose.

Authors:  Harold M Swartz; Ann Barry Flood; Vijay K Singh; Steven G Swarts
Journal:  Health Phys       Date:  2020-07       Impact factor: 2.922

  6 in total

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