Literature DB >> 27412514

Radiation Dose Estimation by Automated Cytogenetic Biodosimetry.

Peter K Rogan1,2, Yanxin Li3, Ruth C Wilkins4, Farrah N Flegal5, Joan H M Knoll2,6.   

Abstract

The dose from ionizing radiation exposure can be interpolated from a calibration curve fit to the frequency of dicentric chromosomes (DCs) at multiple doses. As DC counts are manually determined, there is an acute need for accurate, fully automated biodosimetry calibration curve generation and analysis of exposed samples. Software, the Automated Dicentric Chromosome Identifier (ADCI), is presented which detects and discriminates DCs from monocentric chromosomes, computes biodosimetry calibration curves and estimates radiation dose. Images of metaphase cells from samples, exposed at 1.4-3.4 Gy, that had been manually scored by two reference laboratories were reanalyzed with ADCI. This resulted in estimated exposures within 0.4-1.1 Gy of the physical dose. Therefore, ADCI can determine radiation dose with accuracies comparable to standard triage biodosimetry. Calibration curves were generated from metaphase images in ~10 h, and dose estimations required ~0.8 h per 500 image sample. Running multiple instances of ADCI may be an effective response to a mass casualty radiation event.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2016        PMID: 27412514     DOI: 10.1093/rpd/ncw161

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  8 in total

1.  Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling.

Authors:  Peter K Rogan; Eliseos J Mucaki; Ruipeng Lu; Ben C Shirley; Edward Waller; Joan H M Knoll
Journal:  PLoS One       Date:  2020-04-24       Impact factor: 3.240

2.  Linear dose response of acrocentric chromosome associations to gamma irradiation in human lymphocytes.

Authors:  Ravindra M Samarth; Puneet Gandhi; Nabo Kumar Chaudhury
Journal:  Strahlenther Onkol       Date:  2022-08-04       Impact factor: 4.033

3.  NIH Policies and Regulatory Pathways to U.S. FDA licensure: Strategies to Inform Advancement of Radiation Medical Countermeasures and Biodosimetry Devices.

Authors:  Merriline M Satyamitra; Zulmarie Perez-Horta; Andrea L DiCarlo; David R Cassatt; Carmen I Rios; Paul W Price; Lanyn P Taliaferro
Journal:  Radiat Res       Date:  2022-05-01       Impact factor: 3.372

Review 4.  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

5.  Accurate cytogenetic biodosimetry through automated dicentric chromosome curation and metaphase cell selection.

Authors:  Jin Liu; Yanxin Li; Ruth Wilkins; Farrah Flegal; Joan H M Knoll; Peter K Rogan
Journal:  F1000Res       Date:  2017-08-09

6.  Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning.

Authors:  Jonathan Z L Zhao; Eliseos J Mucaki; Peter K Rogan
Journal:  F1000Res       Date:  2018-02-27

7.  Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation.

Authors:  Ben Shirley; Yanxin Li; Joan H M Knoll; Peter K Rogan
Journal:  J Vis Exp       Date:  2017-09-04       Impact factor: 1.355

8.  Use of human lymphocyte G0 PCCs to detect intra- and inter-chromosomal aberrations for early radiation biodosimetry and retrospective assessment of radiation-induced effects.

Authors:  Terri L Ryan; Antonio G Pantelias; Georgia I Terzoudi; Gabriel E Pantelias; Adayabalam S Balajee
Journal:  PLoS One       Date:  2019-05-06       Impact factor: 3.240

  8 in total

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