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首页> 外文期刊>Applied immunohistochemistry and molecular morphology: AIMM >Computer-assisted immunohistochemical analysis of cervical cancer biomarkers using low-cost and simple software.
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Computer-assisted immunohistochemical analysis of cervical cancer biomarkers using low-cost and simple software.

机译:使用低成本和简单的软件对宫颈癌生物标志物进行计算机辅助免疫组织化学分析。

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摘要

The study of biomarkers by immunohistochemistry (IHC) for cervical cancer and intraepithelial lesions is a promising field. However, manual interpretation of IHC and reproducibility of the scoring systems can be highly subjective. In this article, we present a novel and simple computer-assisted IHC interpretation method based on cyan-magenta-yellow-black (CMYK) color format, for tissues with diaminobenzidine cytoplasmatic staining counterstained with methyl green. This novel method is more easily interpreted than previous computer-assisted methods based on red-green-blue (RGB) color format and presents a strong correlation with the manual H-score. It is simple, objective, and requires only low-cost software and minimal computer skills. Briefly, a total of 67 microscopic images of cervical carcinoma, normal cervix, and negative controls were analyzed in Corel Photo Paint X3 software in CMYK and RGB color format, and compared with manual H-score IHC assessments. The clearest and best positive correlationwith the H-score was obtained using the image in CMYK color format and crude values of magenta color (Spearman correlation coefficient=0.84; agreement of 93.33%, P<0.001). To obtain this value, only 3 steps were necessary: convert the image to CMYK format, select the area of interest for analysis, and open the color histogram tool to visualize the magenta value.
机译:通过免疫组织化学(IHC)对宫颈癌和上皮内病变的生物标志物的研究是一个有前途的领域。但是,人工解释IHC和评分系统的可重复性可能是非常主观的。在本文中,我们提出了一种基于蓝绿色-品红色-黄色-黑色(CMYK)颜色格式的新颖,简单的计算机辅助IHC解释方法,该方法用于甲基绿对二氨基联苯胺胞质染色的组织。与以前的基于红-绿-蓝(RGB)颜色格式的计算机辅助方法相比,此新颖方法更易于解释,并且与手动H评分具有很强的相关性。它简单,客观,只需要低成本的软件和最低的计算机技能。简而言之,使用Corel Photo Paint X3软件以CMYK和RGB颜色格式分析了宫颈癌,正常子宫颈和阴性对照的共67张显微图像,并与手动H评分IHC评估进行了比较。使用CMYK颜色格式的图像和品红色的原始值获得与H分数最清晰和最佳的正相关(Spearman相关系数= 0.84;一致性为93.33%,P <0.001)。要获得此值,只需3个步骤:将图像转换为CMYK格式,选择要分析的区域,然后打开颜色直方图工具以可视化洋红色值。

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