用全自动和半自动DCScore评估在3小时或24小时的colcemid治疗后x射线诱导双心的剂量反应。

Anna-Lea Graf, Matthias Port, Christina Beinke
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引用次数: 0

摘要

目的:优化BIR实验室的自动双中心评价,是改进和加快辐射事故情景下个体生物剂量学的必要条件。因此,我们分析了两种不同的DCScore分类器对实验室特定方案的适用性,包括两种不同的淋巴细胞培养条件,3小时或24小时的秋碱治疗。材料和方法:采用两种不同的分类器,采用全自动和半自动双心评分法,比较了经colcolid处理的3 h和24 h培养物的双心形成情况。构建了各种校准曲线,并使用分类器和评分模式估计了经x射线照射的盲法血液样本在接受colcemid治疗24 h后的吸收剂量。结果:经24 h治疗后的中期病例数是经3 h治疗后的2倍,且经短期和长期治疗后的双心频率的病程差异较大,尤其是经1 Gy治疗后。与“长期分类器”相比,“短期秋碱分类器”在相同的载玻片上分别检测到更多的双中心候选物和真阳性双中心物,特别是bbb20 Gy。结论:两种分类器在盲法和半自动分析中对实验室特异性MP制剂的分诊剂量估计方面都没有明显更好的适用性。为了准确的剂量评估,建议根据实验室特定条件和方案调整可用的分类器,以优化DCScore对真双心性的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dose-response of X-ray induced dicentrics determined by fully- & semi-automated DCScore evaluation after 3 h or 24 h colcemid treatment.

Purpose: Optimization of automated dicentric evaluation in the BIR laboratory is necessary to improve and accelerate individual biological dosimetry in radiation accident scenarios. Therefore, two different DCScore classifiers were analyzed for their suitability for use with laboratory-specific protocols, including two different lymphocyte culture conditions, 3-hour or 24-hour colcemid treatment.

Materials and methods: Dicentric formation was compared in 3 h and 24 h colcemid-treated cultures by fully- and semi-automated dicentric scoring using two different classifiers. Various calibration curves were constructed and absorbed doses of blinded X-irradiated blood samples were estimated after 24 h of colcemid treatment using both classifiers and scoring modes.

Results: 24 h colcemid treatment results in twice as many metaphases as 3 h colcemid treatment and the courses of dicentric frequencies after short- and long-term colcemid treatment differ, especially > 1 Gy. The "short-term colcemid classifier" detects more dicentric candidates and true positive dicentrics, respectively, especially > 2 Gy than the "long-term classifier" on the same slides.

Conclusion: Neither classifier was significantly better suited for the lab-specific MP preparations with regard to triage dose estimates for blinded samples by fully- as well as semi-automated analysis. For accurate dose assessment, it is recommended to adapt an available classifier to laboratory-specific conditions and protocols to optimize the identification of true dicentrics by DCScore.

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