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Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors
Radiation dose estimations performed by automated counting of micronuclei (MN) have been studied for their utility for triage following large-scale radiological incidents; although speed is essential, it also is essential to estimate radiation doses as accurately as possible for long-term epidemiolo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356889/ https://www.ncbi.nlm.nih.gov/pubmed/37195317 http://dx.doi.org/10.1007/s00411-023-01030-7 |
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author | Lee, Younghyun Jin, Young Woo Seong, Ki Moon Wilkins, Ruth C. Jang, Seongjae |
author_facet | Lee, Younghyun Jin, Young Woo Seong, Ki Moon Wilkins, Ruth C. Jang, Seongjae |
author_sort | Lee, Younghyun |
collection | PubMed |
description | Radiation dose estimations performed by automated counting of micronuclei (MN) have been studied for their utility for triage following large-scale radiological incidents; although speed is essential, it also is essential to estimate radiation doses as accurately as possible for long-term epidemiological follow-up. Our goal in this study was to evaluate and improve the performance of automated MN counting for biodosimetry using the cytokinesis-block micronucleus (CBMN) assay. We measured false detection rates and used them to improve the accuracy of dosimetry. The average false-positive rate for binucleated cells was 1.14%; average false-positive and -negative MN rates were 1.03% and 3.50%, respectively. Detection errors seemed to be correlated with radiation dose. Correction of errors by visual inspection of images used for automated counting, called the semi-automated and manual scoring method, increased accuracy of dose estimation. Our findings suggest that dose assessment of the automated MN scoring system can be improved by subsequent error correction, which could be useful for performing biodosimetry on large numbers of people rapidly, accurately, and efficiently. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00411-023-01030-7. |
format | Online Article Text |
id | pubmed-10356889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-103568892023-07-21 Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors Lee, Younghyun Jin, Young Woo Seong, Ki Moon Wilkins, Ruth C. Jang, Seongjae Radiat Environ Biophys Original Article Radiation dose estimations performed by automated counting of micronuclei (MN) have been studied for their utility for triage following large-scale radiological incidents; although speed is essential, it also is essential to estimate radiation doses as accurately as possible for long-term epidemiological follow-up. Our goal in this study was to evaluate and improve the performance of automated MN counting for biodosimetry using the cytokinesis-block micronucleus (CBMN) assay. We measured false detection rates and used them to improve the accuracy of dosimetry. The average false-positive rate for binucleated cells was 1.14%; average false-positive and -negative MN rates were 1.03% and 3.50%, respectively. Detection errors seemed to be correlated with radiation dose. Correction of errors by visual inspection of images used for automated counting, called the semi-automated and manual scoring method, increased accuracy of dose estimation. Our findings suggest that dose assessment of the automated MN scoring system can be improved by subsequent error correction, which could be useful for performing biodosimetry on large numbers of people rapidly, accurately, and efficiently. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00411-023-01030-7. Springer Berlin Heidelberg 2023-05-17 2023 /pmc/articles/PMC10356889/ /pubmed/37195317 http://dx.doi.org/10.1007/s00411-023-01030-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Lee, Younghyun Jin, Young Woo Seong, Ki Moon Wilkins, Ruth C. Jang, Seongjae Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors |
title | Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors |
title_full | Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors |
title_fullStr | Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors |
title_full_unstemmed | Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors |
title_short | Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors |
title_sort | improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356889/ https://www.ncbi.nlm.nih.gov/pubmed/37195317 http://dx.doi.org/10.1007/s00411-023-01030-7 |
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