Oh Su Jung, Jeong Min Ho, Kang Yeong-Rok, Lee Chang Geun, Kim HyoJin, Kye Yong Uk, Park Moon-Taek, Baek Jeong-Hwa, Kim Jung-Ki, Kim Joong Sun, Jeong Soo Kyung, Jo Wol Soon
Dongnam Institute of Radiological and Medical Sciences (DIRAMS), 40 Jwadong-gil, Jangan-eup, Gijang-gun, Busan, 46033, Republic of Korea.
Department of Microbiology, Dong-A University College of Medicine, Daeshingongwon-gil 32, Seo-gu, Busan, 49236, Republic of Korea.
Sci Rep. 2025 Mar 27;15(1):10639. doi: 10.1038/s41598-025-94678-8.
Biological dosimetry is crucial for estimating the doses from biological samples and guiding medical interventions for accidental radiation exposure. This study aimed to derive rapid and precise dose estimates using a dicentric chromosome assay. To address the challenges of manual scoring of dicentric chromosomes, we upgraded an automatic system aimed at enhancing the precision of dicentric chromosome detection while reducing the need for human intervention. We collected blood from 30 individuals aged 20-67 years to create 30 dose-response curves aiming to investigate the differences in responses among individuals. To validate dose-estimate accuracy within a 95% confidence interval, blinded samples were categorized into three groups according to the radiation dose as follows: ≥2, ≤ 1, and 0.1 Gy. When scoring dicentric chromosomes without human review and constructing a dose-response curve, individual differences were observed. For doses ≤ 1 Gy, the standard root formula was effective; conversely, for doses ≥ 2 Gy, the regression deep neural network proved to be more ac-curate. Our developed program allowed for the rapid analysis of a large volume of dicentric chromosome images.
生物剂量测定对于从生物样本中估算剂量以及指导意外辐射暴露的医学干预至关重要。本研究旨在使用双着丝粒染色体分析得出快速且精确的剂量估计值。为应对双着丝粒染色体手工计分的挑战，我们升级了一个自动系统，旨在提高双着丝粒染色体检测的精度，同时减少人工干预的需求。我们从30名年龄在20至67岁的个体采集血液，以创建30条剂量反应曲线，旨在研究个体之间反应的差异。为在95%置信区间内验证剂量估计的准确性，将盲法样本根据辐射剂量分为以下三组：≥2 Gy、≤1 Gy和0.1 Gy。在不进行人工审核双着丝粒染色体并构建剂量反应曲线时，观察到了个体差异。对于≤1 Gy的剂量，标准根公式有效；相反，对于≥2 Gy的剂量，回归深度神经网络被证明更准确。我们开发的程序能够快速分析大量双着丝粒染色体图像。
