ArticleDose-response : a publication of International Hormesis Society
Rapid and High-Throughput Detection of Peripheral Blood Chromosome Aberrations in Radiation Workers.
Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Optimizing chromosome dispersion quality: the key role of cell density.Frontiers in cell and developmental biology · 2025Article
- High-precision automatic identification method for dicentric chromosome images using two-stage convolutional neural network.Scientific reports · 2023Article
- Interventional radiologists have a higher rate of chromosomal damage due to occupational radiation exposure: a dicentric chromosome assay.European radiology · 2021Article
- Dose-Effects Models for Space Radiobiology: An Overview on Dose-Effect Relationships.Frontiers in public health · 2021Review
- Analysis of Red Blood Cells and their Components in Medical Workers with Occupational Exposure to Low-Dose Ionizing Radiation.Dose-response : a publication of International Hormesis SocietyArticle
- High-Throughput Automated Construction and Validation of Dicentric Chromosome and Micronucleus Biodosimetry Calibration Curves for Radiation Emergency Response.Dose-response : a publication of International Hormesis SocietyArticle
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a pressing need to establish automated solutions for the rapid, high-throughput, and automatic detection of chromosome aberrations (CAs) in the occupational health surveillance of large-scale radiation workers. Here, we described and verified the accuracy of a new measurement system based on the automatic scanning and analysis of dicentric chromosomes (DICs). The effects of cell number on DIC detection by automatic scanning and analysis were studied, and the distribution of DIC values per cell was calculated. In total, 1088 cases were detected by automatic DIC scanning and analysis in 26 663 radiation workers, and 73 cases were further confirmed by a technician, including 5 cases in which radiation exposure lead to harmful medical consequences. Our approach reduces the workload by 96% and increases the speed of assessment approximately 7-fold. Overall, this study validates the utility of a novel rapid and high-throughput CA detection procedure as a means of occupational health surveillance of large-scale radiation workers.
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Registered trials
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