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新型模式识别系统 AKLIDES® 对电离辐射诱导的 γH2AX 焦点的全自动解读。

Fully automated interpretation of ionizing radiation-induced γH2AX foci by the novel pattern recognition system AKLIDES®.

机构信息

Department of Nuclear Medicine, Medical Faculty Carl Gustav Carus, Technische Universität Dresden.

出版信息

Int J Radiat Biol. 2012 May;88(5):439-47. doi: 10.3109/09553002.2012.658468. Epub 2012 Mar 26.

Abstract

PURPOSE

Assessment of phosphorylated histone H2AX (γH2AX) foci as a measure for double-strand breaks (DSB) is a common technique. Since visual interpretation is time-consuming and influenced by subjective factors, we adapted the pattern recognition algorithms of autoantibodies to automated reading of γH2AX foci.

MATERIALS AND METHODS

DSB formation was assessed by detection of γH2AX foci after exposition of thyreocyte rat cell line to (188)Re. We used pattern recognition algorithms of the automated fluorescence interpretation system AKLIDES(®) for evaluation of γH2AX foci. Manual investigation was performed by three laboratories involving five observers. The results were compared by determining correlation and inter-laboratory variability.

RESULTS

The study confirmed the adaptation of automated interpretation system AKLIDES® to automated assessment of γH2AX foci in irradiated cells. Both manual and automated quantification resulted in increasing focus numbers depending on dose. Comparison of automated reading with visual assessment for five manual observers resulted in a determination coefficient of R(2) = 0.889. The inter-laboratory variability for five manual investigators of three laboratories was 38.4 %.

CONCLUSION

The interpretation system AKLIDES(®) demonstrated a high correlation with visually observed results. High inter-laboratory variability found for manual investigations revealed the usefulness for a standardized technique for evaluation of γH2AX foci.

摘要

目的

评估磷酸化组蛋白 H2AX(γH2AX)焦点作为双链断裂(DSB)的测量方法是一种常见的技术。由于目视解释耗时且受主观因素影响,我们采用了自身抗体的模式识别算法来实现γH2AX 焦点的自动化读取。

材料与方法

通过检测甲状腺大鼠细胞系暴露于(188)Re 后 γH2AX 焦点的形成来评估 DSB 的形成。我们使用自动荧光解释系统 AKLIDES(®)的模式识别算法来评估 γH2AX 焦点。手动研究由涉及五个观察者的三个实验室进行。通过确定相关性和实验室间变异性来比较结果。

结果

该研究证实了自动化解释系统 AKLIDES(®)适应了辐照细胞中 γH2AX 焦点的自动评估。手动和自动定量都导致焦点数量随着剂量的增加而增加。与视觉评估相比,五个手动观察者的自动读数得出的决定系数 R(2)为 0.889。三个实验室的五个手动研究者的实验室间变异性为 38.4%。

结论

AKLIDES(®)解释系统与视觉观察结果具有高度相关性。手动研究中发现的高实验室间变异性表明,评估 γH2AX 焦点的标准化技术非常有用。

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