| 韩林,陆雪,李杰,等.双着丝粒体半自动与人工分析估算生物剂量的比较研究[J].中华放射医学与防护杂志,2020,40(11):826-831.Han Lin,Lu Xue,Li Jie,et al.Study on the comparison of semi-automatic and manual dicentric detection for biological dosimetry[J].Chin J Radiol Med Prot,2020,40(11):826-831 |
| 双着丝粒体半自动与人工分析估算生物剂量的比较研究 |
| Study on the comparison of semi-automatic and manual dicentric detection for biological dosimetry |
| 投稿时间：2020-04-09 |
| DOI：10.3760/cma.j.issn.0254-5098.2020.11.003 |
| 中文关键词: 电离辐射 双着丝粒体 半自动分析 人工分析 生物剂量估算 |
| 英文关键词:Ionizing radiation Dicentrics Semi-automatic scoring Manual scoring Biological dosimetry |
| 基金项目:河南省科技攻关计划项目（142102310086） |
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| 中文摘要: |
| 目的 通过对双着丝粒体（dicentrics，dic）半自动和人工分析估算剂量的比较，探讨dic半自动分析估算剂量的优势和应对大规模核与辐射事故临床分类诊断的可行性。方法 60Co γ射线离体照射两名健康男性的外周血样品，照射剂量为0、0.5、1、2、3、4、5和6 Gy，吸收剂量率为0.27 Gy/min，常规培养、制片；用高通量染色体自动扫描系统采集染色体中期高倍图像，用DCScore软件自动分析dic，用Ikaros软件人工计数dic+环（r），拟合基于每细胞dic或dic+r数的剂量-效应曲线，并用本实验室参加全国生物剂量估算比对的12份考核样品（0.7~4.5 Gy）估算剂量进行验证。结果 半自动和人工分析检测到的每细胞dic或dic+r数均随照射剂量的增加而升高，显示量效关系有差异（r=0.984、0.972、0.972，P<0.01）；基于每细胞dic或dic+r数拟合的3条剂量曲线均具有较为理想的拟合度（R2=0.998、0.999、0.999，P<0.01）。验证结果显示，在验证样品的照射剂量>2 Gy时，人工确认前基于自动分析dic估算的剂量与实际照射剂量的相对偏差均<21%，dic经人工确认后估算的剂量均接近于实际照射剂量（相对偏差≤±10%），而人工分析估算的剂量除0.7 Gy剂量点相对偏差为-25.71%，其他剂量点亦接近于实际照射剂量，但半自动分析可将剂量估算效率提高6倍。结论 dic半自动分析能明显提高生物剂量估算的水平和效率，可应对发生大规模核辐射事件医学应急响应临床分类诊断的需要。 |
| 英文摘要: |
| Objective To explore the advantage of dose estimation based on semi-automated dicentric (dic) scoring and the feasibility of reflecting a large scale radiation accident for population clinical triage by mean of the comparison between semi-automatic and manual detection. Methods Human peripheral blood samples from two healthy volunteers were irradiated by 60Co γ-rays at the doses of 0, 0.5, 1, 2, 3, 4, 5 and 6 Gy with a dose rate of 0.27 Gy/min, and chromosome preparation was carried out using the conventional method. The dic and dic plus ring were analyzed automatically with the DCScore software and manually with the Ikaros software, respectively, in a high-throughput chromosome automatic scanning system. The dose-response curves were fitted with dic or dic plus ring per cell. Twelve standard samples of biodosimetry were used to validate the dose-response curves. Results The numbers of dic or dic plus ring per cell by semi-automatic or manual detection increased with the exposure doses (r=0.984, 0.972, 0.972,P<0.01). The yields of semi-automated dic or manually detected dic plus ring were well fitted with the correlation coefficients (R2=0.998, 0.999, 0.999, P<0.01). When the exposure dose of the standard samples was more than 2 Gy, the relative deviation between actual and predict doses was within 21% using the dose-response curve based on automated dic before human verification and correction of dic (elimination of false positives and inclusion of true positives), and wiht ±10% after manual elimination of false positive dic. Bio-doses estimated from the dic detected by manual scoring were similar to the actual exposure doses with the exception of 0.7 Gy, but the efficiency of semi-automatic analysis of dic was increased by 6-times in bio-dose assessment. Conclusions The semi-automated dic detection obviously improves the level and efficiency of biodosimetry analysis, and thus can meet the requirements of clinical classification diagnosis of medical emergency response to large-scale nuclear radiation events. |
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