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间期细胞核中t(9;22)(q34;q11)的自动化荧光原位杂交(FISH)分析

Automated fluorescent in situ hybridization (FISH) analysis of t(9;22)(q34;q11) in interphase nuclei.

作者信息

Kajtár Béla, Méhes Gábor, Lörch Thomas, Deák Linda, Kneifné Marika, Alpár Donát, Pajor László

机构信息

Department of Pathology, Faculty of Medicine, University of Pécs, Hungary.

出版信息

Cytometry A. 2006 Jun;69(6):506-14. doi: 10.1002/cyto.a.20260.

Abstract

BACKGROUND

For chronic myeloid leukemia, the FISH detection of t(9;22)(q34;q11) in interphase nuclei of peripheral leukocytes is an alternative method to bone marrow karyotyping for monitoring treatment. With automation, several drawbacks of manual analysis may be circumvented. In this article, the capabilities of a commercially available automated image acquisition and analysis system were determined by detecting t(9;22)(q34;q11) in interphase nuclei of peripheral leukocytes.

METHODS

Three peripheral blood samples of normal adults, 21 samples of CML patients, and one sample of a t(9;22)(q34;q11) positive cell-line were used.

RESULTS

Single nuclei with correctly detected signals amounted to 99.6% of nuclei analyzed after exclusion of overlapping nuclei and nuclei with incorrect signal detection. A cut-off value of 0.84 mum was defined to discriminate between translocation positive and negative nuclei based on the shortest distance between signals. Using this value, the false positive rate of the automated analysis for negative samples was 7.0%, whereas that of the manual analysis was 5.8%. Automated and manual results showed strong correlation (R(2) = 0.985), the mean difference of results was only 3.7%.

CONCLUSIONS

A reliable and objective automated analysis of large numbers of cells is possible, avoiding interobserver variability and producing statistically more accurate results than manual evaluation.

摘要

背景

对于慢性髓性白血病,在外周血白细胞间期核中进行t(9;22)(q34;q11)的荧光原位杂交(FISH)检测是监测治疗的一种替代骨髓核型分析的方法。通过自动化,可以规避手工分析的几个缺点。在本文中,通过检测外周血白细胞间期核中的t(9;22)(q34;q11)来确定一种商用自动化图像采集和分析系统的性能。

方法

使用了3份正常成年人外周血样本、21份慢性髓性白血病患者样本以及1份t(9;22)(q34;q11)阳性细胞系样本。

结果

在排除重叠核和信号检测错误的核后,信号检测正确的单核占分析核的99.6%。基于信号之间的最短距离定义了一个0.84μm的截断值,以区分易位阳性和阴性核。使用该值,阴性样本自动分析的假阳性率为7.0%,而手工分析的假阳性率为5.8%。自动分析和手工分析结果显示出强相关性(R(2)=0.985),结果的平均差异仅为3.7%。

结论

对大量细胞进行可靠且客观的自动分析是可行的,可避免观察者间的差异,并且比手工评估产生统计学上更准确的结果。

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