Challenges of automated screening and differentiation of non-organ specific autoantibodies on HEp-2 cells

Challenges of automated screening and differentiation of non-organ specific autoantibodies on HEp-2 cells
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DOI:
10.1016/j.autrev.2009.02.033
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发表时间:
2009-09-01
影响因子:
13.6
通讯作者:
Conrad, Karsten
Conrad, Karsten
中科院分区:
医学1区
文献类型:
--
作者:
Hiemann, Rico;Buettner, Thomas;Conrad, Karsten

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尽管引入了多重技术,通过间接免疫荧光(IIF)分析自身抗体(AAB)仍然是诊断自身免疫性疾病的标志。在常规诊断中通过IIF对HEp-2细胞筛选非器官特异性AAB。然而,IIF结果因目标而异(例如,细胞固定)和主观因素(例如,专业知识)。因此,实验室间和实验室内的差异相对较高。IIF AAB检测的标准化仍然是常规实验室内部和之间的一个关键问题,可以通过自动判读系统加以改进。考虑到第一个全自动阅读系统AKLIDES的数据,将对现有的解释技术进行概述。新系统提供IIF图像的全自动阅读和IIFAAB模式的数学描述的软件算法。它可用于在关于系统性自身免疫性和自身免疫性肝病的常规诊断中对非器官特异性AAB进行筛选和预分类。此外,该系统为基于细胞的IIF检测的经济数据处理铺平了道路,并有助于减少AAB检测的实验室间方差。更复杂的模式识别算法和新的校准系统将提高IIF图像解释的标准化量化。皇冠版权所有(C)2009年出版的爱思唯尔B. V.保留所有权利。
Analysis of autoantibodies (AAB) by indirect immunofluorescence (IIF) remains the hallmark of diagnosing autoimmune diseases despite the introduction of multiplex techniques. Non-organ specific AAB are screened in routine diagnostics by IIF on HEp-2 cells. However, IIF results vary due to objective (e.g., cell fixation) and subjective factors (e.g., expert knowledge). Therefore, inter- and intralaboratory variance is relatively high. Standardisation of AAB testing by IIF remains a critical issue in and between routine laboratories and may be improved by automated interpretation systems. An overview of existing interpretation techniques will be given taking into account own data of the first fully automated reading system AKLIDES. The novel system provides fully automated reading of IIF images and software algorithms for the mathematical description of IIFAAB patterns. It can be used for screening and preclassification of non-organ specific AAB in routine diagnostics regarding systemic autoimmune and autoimmune liver diseases. Furthermore, this system paves the way for economic data processing of cell-based IIF assays and can contribute to the reduction of interlaboratory variance of AAB testing. More sophisticated pattern recognition algorithms and novel calibration systems will improve standardised quantifications of IIF image interpretation. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.