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Quantitative computer image analysis of serum /spl alpha/-fetoprotein rapid gold immunochromatographic dipstick assay

机译:血清/ splα/甲胎蛋白快速金免疫层析试纸法的定量计算机图像分析

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The traditional quantitative methods for measurement of /spl alpha/-fetoprotein (AFP) are radioimmunoassay (KIA) and nonisotopic immunoassay. These immunoassay methods have the advantages of high sensitivity and accuracy. The time-consuming and complicated laboratory operations are disadvantages of these methods. On the contrary, the rapid gold immuno-chromatographic dipstick assay has the advantages of simple operation procedures and rapid operation time. But most of the dipstick immunoassays is qualitative or semi-quantitative. This paper presents a new quantitative assessment system of serum AFP by combining the rapid gold immuno-chromatographic dipstick assay and neural network based computer image analysis system. A total of 72 human serum samples, in which the AFP concentrations were measured by RIA as 1 to 700 ng/ml, are used to construct the neural network for quantitative computer image analysis system in this study. In this paper, we also correlated the proposed system results with a commercial AFP specific RIA test kit. Another 30 human serum samples were used to validate the new system. The result of the new system correlated well with traditional RIA with correlation coefficient 0.9971. The Bland-Altman plot also shows well agreements between the proposed system and RlA. We successfully established a rapid quantitative assessment system for AFP dipstick assay, which took significantly less time in operation, with clinical acceptable agreements by Bland-Altman plot analysis. This novel method is simple, rapid, and can be performed outside the laboratory. The rapid gold immuno-chromatographic dipstick assay quantified by computer image analysis has been termed dipstick computer image processing immunoassay (DClPA).
机译:测量/ splα-甲胎蛋白(AFP)的传统定量方法是放射免疫测定(KIA)和非同位素免疫测定。这些免疫测定方法具有灵敏度高和准确性高的优点。费时且复杂的实验室操作是这些方法的缺点。相反,快速金免疫层析试纸法具有操作步骤简单,操作时间短的优点。但是大多数量油尺免疫测定是定性或半定量的。通过结合快速金免疫层析试纸法和基于神经网络的计算机图像分析系统,提出了一种新的血清AFP定量评估系统。本研究共使用72个人类血清样品(其中通过RIA测得的AFP浓度为1至700 ng / ml)构建了用于定量计算机图像分析系统的神经网络。在本文中,我们还将建议的系统结果与商业AFP专用的RIA测试套件相关联。另外30个人血清样品用于验证新系统。新系统的结果与传统RIA的相关性很好,相关系数为0.9971。布兰德-奥特曼(Bland-Altman)图也显示了拟议系统与RIA之间的良好一致性。我们成功建立了用于AFP量油尺测定的快速定量评估系统,该系统的操作时间大大减少,并且通过Bland-Altman图解分析获得了临床可接受的协议。这种新颖的方法简单,快速,并且可以在实验室外进行。通过计算机图像分析定量的快速金免疫层析试纸法已被称为试纸计算机图像处理免疫法(DClPA)。

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