García O, Di Giorgio M, Vallerga M B, Radl A, Taja M R, Seoane A, De Luca J, Stuck Oliveira M, Valdivia P, Lamadrid A I, González J E, Romero I, Mandina T, Pantelias G, Terzoudi G, Guerrero-Carbajal C, Arceo Maldonado C, Espinoza M, Oliveros N, Martínez-López W, Di Tomaso M V, Méndez-Acuña L, Puig R, Roy L, Barquinero J F
Centro de Protección e Higiene de las Radiaciones (CPHR), Calle 20 No. 4113 e/41 y 47 Miramar, 11300 La Havana, Cuba.
Radiat Prot Dosimetry. 2013 Apr;154(1):18-25. doi: 10.1093/rpd/ncs139. Epub 2012 Aug 5.
The bottleneck in data acquisition during biological dosimetry based on a dicentric assay is the need to score dicentrics in a large number of lymphocytes. One way to increase the capacity of a given laboratory is to use the ability of skilled operators from other laboratories. This can be done using image analysis systems and distributing images all around the world. Two exercises were conducted to test the efficiency of such an approach involving 10 laboratories. During the first exercise (E1), the participant laboratories analysed the same images derived from cells exposed to 0.5 and 3 Gy; 100 images were sent to all participants for both doses. Whatever the dose, only about half of the cells were complete with well-spread metaphases suitable for analysis. A coefficient of variation (CV) on the standard deviation of ∼15 % was obtained for both doses. The trueness was better for 3 Gy (0.6 %) than for 0.5 Gy (37.8 %). The number of estimated doses classified as satisfactory according to the z-score was 3 at 0.5 Gy and 8 at 3 Gy for 10 dose estimations. In the second exercise, an emergency situation was tested, each laboratory was required to score a different set of 50 images in 2 d extracted from 500 downloaded images derived from cells exposed to 0.5 Gy. Then the remaining 450 images had to be scored within a week. Using 50 different images, the CV on the estimated doses (79.2 %) was not as good as in E1, probably associated to a lower number of cells analysed (50 vs. 100) or from the fact that laboratories analysed a different set of images. The trueness for the dose was better after scoring 500 cells (22.5 %) than after 50 cells (26.8 %). For the 10 dose estimations, the number of doses classified as satisfactory according to the z-score was 9, for both 50 and 500 cells. Overall, the results obtained support the feasibility of networking using electronically transmitted images. However, before its implementation some issues should be elucidated, such as the number and resolution of the images to be sent, and the harmonisation of the scoring criteria. Additionally, a global website able to be used for the different regional networks, like Share Points, will be desirable to facilitate worldwide communication.
基于双着丝粒分析的生物剂量测定中，数据采集的瓶颈在于需要对大量淋巴细胞中的双着丝粒进行计分。提高特定实验室能力的一种方法是利用其他实验室熟练操作人员的能力。这可以通过图像分析系统并在全球范围内分发图像来实现。进行了两项实验来测试这种方法的效率，涉及10个实验室。在第一次实验（E1）中，参与实验室分析了来自暴露于0.5 Gy和3 Gy的细胞的相同图像；两种剂量均向所有参与者发送了100张图像。无论剂量如何，只有大约一半的细胞具有适合分析的良好伸展中期的完整图像。两种剂量的标准偏差变异系数（CV）约为15%。3 Gy（0.6%）的准确性优于0.5 Gy（37.8%）。对于10次剂量估计，根据z分数分类为满意的估计剂量数量在0.5 Gy时为3个，在3 Gy时为8个。在第二次实验中，测试了一种紧急情况，要求每个实验室在2天内对从500张下载图像中提取的不同的50张图像进行计分，这些图像来自暴露于0.5 Gy的细胞。然后，其余450张图像必须在一周内计分。使用50张不同的图像，估计剂量的CV（79.2%）不如E1中的好，这可能与分析的细胞数量较少（50个对100个）或实验室分析的是不同的图像集有关。对500个细胞计分后的剂量准确性（22.5%）优于对50个细胞计分后（26,8%）。对于10次剂量估计，根据z分数分类为满意的剂量数量对于50个和500个细胞均为9个。总体而言，所获得的结果支持使用电子传输图像进行联网分析的可行性。然而，在实施之前，一些问题需要阐明，例如要发送的图像数量和分辨率，以及计分标准的统一。此外，一个能够用于不同区域网络（如Share Points）的全球网站将有助于促进全球范围内的交流。
