| 王平,李杰,轩月兰,韩林,王喜爱,王兆男,吕玉民.淋巴细胞微核自动分析用于放射工作人员微核检测的可行性[J].中华放射医学与防护杂志,2020,40(10):746-752 |
| 淋巴细胞微核自动分析用于放射工作人员微核检测的可行性 |
| The feasibility of using automatic micronucleus assay to test micronucleus in lymphocyte of radiation workers |
| 投稿时间：2020-03-31 |
| DOI：10.3760/cma.j.issn.0254-5098.2020.10.003 |
| 中文关键词: 放射工作人员 淋巴细胞 微核 自动分析 |
| 英文关键词:Radiation workers Lymphocyte Micronucleus Automatic analysis |
| 基金项目:河南省重点科技攻关项目（142102310086）；河南省医学科技攻关计划项目（LHGJ20190815） |
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| 中文摘要: |
| 目的 利用高通量染色体自动扫描系统（Metafer 4）中的微核自动扫描分析软件，探讨微核自动分析用于放射工作人员微核检测的可行性。方法 采用整群抽样方法选取2 005例放射工作人员为观察对象，按工种分为放射诊断、放射治疗、核医学、介入放射学和工业应用共5组。使用Metafer 4系统自动检测淋巴细胞微核，分析影响微核率的因素。按照系统抽样方法选取200例微核标本进行人工分析，比较自动和人工分析检出的微核率和检测效率。结果 自动分析2 005例放射工作人员的微核率为（0.92±0.02）×10-3，不同工种间自动分析检出的微核率差异有统计学意义（χ2=11.054，P<0.05），其中介入放射学组微核率（1.00±0.03）×10-3明显高于其他组（χ2=5.568、5.334、7.689，P<0.05）。医学应用不同工种放射工作人员的年有效剂量、工龄和微核率间的差异均有统计学意义（F=3.026，χ2=11.582、8.878，P<0.05），Pearson相关分析显示，年有效剂量与微核率呈正相关（r=0.106，P<0.05）。多重线性回归分析显示，自动分析的微核率与放射工龄、放射工种相关（r=9.485×10-6、5.660×10-5，P<0.05）。与人工分析相比，自动分析检测的微核率明显偏低（χ2=169.259，P<0.05），两检测方法有一致性（ICC=0.713，P<0.05），但微核自动分析可将检测效率提高5倍。结论 对微核自动分析及其影响因素的分析结果提示，自动分析检出的微核率能够反映慢性低剂量辐射的遗传损伤水平，用于放射工作人员微核检测有可行性。 |
| 英文摘要: |
| Objective To explore the feasibility of using a High-Throughput Chromosome Automatic Scanning System (Metafer 4) to carry out automatic micronucleus detection for radiation workers. Methods A total of 2 005 radiation workers selected were divided into five groups in terms of diagnostic radiology, radiotherapy, nuclear medicine, interventional radiology and industrial application.The Metafer 4 was used to assay micronuclei in peripheral blood lymphocytes from the subjects, with the factors affecting micronuclei analyzed. A total of 200 micronucleus samples collected by stratified random sampling were manually assayed for comparison of micronuclei frequency and detection efficiency between automatic and manual analysis. Results The mean micronuclei frequency in 2 005 radiation workers were measured to be (0.92±0.02)×10-3. There was significant difference in the frequencies of micronuclei among the five groups (χ2=11.054,P<0.05), with higher micronuclei frequency in interventional radiology group(1.00±0.03)×10-3 than in other groups (χ2=5.568,5.334,7.689,P<0.05 ). Statistically significant difference could be observed in annual effective dose, length of service and micronuclei frequency among the radiation workers in different medical applications (F=3.026, χ2=11.582, 8.878,P<0.05 ). A positive correlation between annual effective dose and micronucleus frequency was shown by Pearson analysis (r=0.106,P<0.05 ). Multiple linear regression analysis showed that the automatic assay-based micronuclei frequencies were associated with length of service and work categories(r=9.485×10-6, 5.660×10-5,P<0.05), significantly lower when compared with manual analysis (χ2=169.259,P<0.05 ). There was a consistency (ICC=0.713,P<0.05) between the two assay methods, but automatic analysis can increase the assayed micronucleus frequency by about 5 folds. Conclusions The micronucleus frequency tested by automatic detection reflects genetic damage from low-dose chronic radiation exposure, and there may be feasibility of using automatic analysis to assay micronucleus of radiation workers. |
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