Literature DB >> 31699339

Optimization and validation of automated dicentric chromosome analysis for radiological/nuclear triage applications.

Terri L Ryan1, Maria B Escalona1, Tammy L Smith1, Joseph Albanese2, Carol J Iddins1, Adayabalam S Balajee3.   

Abstract

Dicentric Chromosome Assay (DCA) is the most preferred cytogenetic technique for absorbed radiation dose assessment in exposed humans. However, DCA is somewhat impractical for triage application owing to its labor intensive and time consuming nature. Although lymphocyte culture for 48 h in vitro is inevitable for DCA, manual scoring of dicentric chromosomes (DCs) requires an additional time of 24-48 h, making the overall turnaround time of 72-96 h for dose estimation. To accelerate the speed of DC analysis for dose estimation, an automated tool was optimized and validated for triage mode of scoring. Several image training files were created to improve the specificity of automated DC analysis algorithm. Accuracy and efficiency of the automated (unsupervised) DC scoring was compared with the semi-automated scoring that involved human verification and correction of DCs (elimination of false positives and inclusion of true positives). DC scoring was performed by both automated and semi-automated modes for different doses of X-rays and γ-rays (0 Gy-5 Gy). Biodoses estimated from the frequencies of DCs detected by both automated (unsupervised) and semi-automated (supervised) scoring modes were grossly similar to the actual delivered doses in the range of 0.5 to 3 Gy of low LET radiation. We suggest that the automated DC tool can be effectively used for large scale radiological/nuclear incidents where a rapid segregation is essential for prioritizing moderately or severely exposed humans to receive appropriate medical countermeasures.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automated analysis; Dicentric chromosomes; Ionizing radiation; Peripheral blood lymphocytes; Triage scoring and mass casualty incidents

Mesh:

Year:  2019        PMID: 31699339     DOI: 10.1016/j.mrgentox.2019.503087

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  3 in total

1.  Metaphase Cells Enrichment for Efficient Use in the Dicentric Chromosome Assay.

Authors:  Max Platkov; Uzi Hadad; Ariela Burg; Inna Levitsky; Michael Zagatzki; Omer Damri; Aryeh Weiss; Yair Lauber; Shirly Amar; Lior Carmel; Raphael Gonen
Journal:  Cell Biochem Biophys       Date:  2022-10-11       Impact factor: 2.989

2.  Establishing a Reference Dose-Response Calibration Curve for Dicentric Chromosome Aberrations to Assess Accidental Radiation Exposure in Saudi Arabia.

Authors:  Ghazi A Alsbeih; Khaled S Al-Hadyan; Najla M Al-Harbi; Sara S Bin Judia; Belal A Moftah
Journal:  Front Public Health       Date:  2020-12-15

3.  Machine learning methodology for high throughput personalized neutron dose reconstruction in mixed neutron + photon exposures.

Authors:  Igor Shuryak; Helen C Turner; Monica Pujol-Canadell; Jay R Perrier; Guy Garty; David J Brenner
Journal:  Sci Rep       Date:  2021-02-17       Impact factor: 4.379

  3 in total

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