Department of Basic Medical Sciences, Ghent University, Ghent, Belgium.
Int J Radiat Biol. 2010 Jan;86(1):2-11. doi: 10.3109/09553000903264481.
In case of a large-scale radiation accident when hundreds of people may be exposed, it is important to distinguish the severely exposed individuals (> or =1 gray), who require early medical treatment, from those less exposed. The aim of our study was to develop a quick population triage method based on automated micronucleus (MN) scoring.
Using the MN software module developed by MetaSystems specifically for the Metafer4 platform, about 60 blood samples can be scored in one day. Standard dose response curves were determined for manual and automated MN scoring.
The automated MN assay results were closely correlated with MN yields obtained with the manual procedure. A dose of 1 Gy can be estimated with an uncertainty of 0.2 Gy. Corrections for false positives and false negatives by visual inspection of the image gallery did not result in an improved accuracy or reproducibility. To test the automated MN assay in a multicenter setting, an inter-laboratory comparison was performed whereby irradiated blood samples were processed in Ghent University (Belgium) and BfS (Bundesamt fuer Strahlenschutz; Germany). Both laboratories obtained comparable results.
These results confirm the efficacy of the automated MN assay for fast population triage in a multicenter setting, in the case of large radiation accidents.
在发生大规模辐射事故且可能有数百人暴露的情况下，区分需要早期医疗救治的重度暴露个体（≥1 戈瑞）和轻度暴露个体非常重要。本研究旨在开发一种基于自动微核（MN）评分的快速人群分诊方法。
使用专门为 Metafer4 平台开发的 MetaSystems 的 MN 软件模块，一天内可以对大约 60 个血样进行评分。确定了手动和自动 MN 评分的标准剂量反应曲线。
自动 MN 测定结果与手动程序获得的 MN 产量密切相关。可以以 0.2 Gy 的不确定度估计 1 Gy 的剂量。通过对图像库进行目视检查来校正假阳性和假阴性并没有提高准确性或重现性。为了在多中心环境中测试自动 MN 测定，进行了实验室间比较，其中辐照血样在根特大学（比利时）和 BfS（联邦辐射防护局；德国）进行处理。两个实验室都得到了可比的结果。
这些结果证实了在大型辐射事故情况下，自动 MN 测定在多中心环境中用于快速人群分诊的有效性。
