방사선방호 및 안전

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  • [Radiat Environ Biophys .] Improving radiation dosimetry with an automated micronucleus scoring system: correction of automated scoring errors미세핵 판독 자동화 시스템을 이용한 방사선량 평가방법 개선 연구: 자동 판독오차 보정중심

    KIRAMS / 이영현, 장성재*

  • 출처
    Radiat Environ Biophys .
  • 등재일
    2023 Aug
  • 저널이슈번호
    62(3):349-356. doi: 10.1007/s00411-023-01030-7.
  • 내용

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    Abstract
    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.

     

     

    Affiliations

    Younghyun Lee 1 2, Young Woo Jin 3, Ki Moon Seong 1, Ruth C Wilkins 4, Seongjae Jang 5
    1Laboratory of Biological Dosimetry, Korea Institute of Radiological and Medical Sciences, National Radiation Emergency Medical Center, Seoul, Republic of Korea.
    2Department of Biomedical Laboratory Science, College of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea.
    3Korea Institute of Radiological and Medical Sciences, National Radiation Emergency Medical Center, Seoul, Republic of Korea.
    4Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, ON, Canada.
    5Laboratory of Biological Dosimetry, Korea Institute of Radiological and Medical Sciences, National Radiation Emergency Medical Center, Seoul, Republic of Korea. sjsjj@kirams.re.kr.

  • 키워드
    Automated scoring; Biodosimetry; Micronuclei assay; Radiation exposure.
  • 편집위원

    방사선사고시 피폭환자의 피폭선량을 평가하기 위한 생물학적 선량평가법에 관한 논문으로, 환자의 혈액샘플을 이용하여 micronucleus(MN)의 수를 분석하여 피폭량을 추정함으로써 환자의 진단과 치료에 활용할 수 있다. 본 논문에서는 현미경의 MNScore 모듈을 이용하여 자동으로 또한 신속하게 MN 수를 분석함으로써, 기존의 이동원염색체분석(dicentric chromosome assay)의 긴 시간이 소요되는 단점을 극복할 수 있는 방법을 제시하고 있다. 본 연구는 방사선피폭 현장에 적용하기 위한 기술 개발에 활용될 수 있으며 향후 AI 기반의 분석으로 발전시키는 경우에 보다 신속하고 정확한 결과를 얻을 수 있을 것으로 생각한다.

    2023-10-06 16:18:36

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