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使用三种自动免疫组织化学染色通过图像分析对乳腺癌中激素受体进行评估的比较。

Comparison of evaluations of hormone receptors in breast carcinoma by image-analysis using three automated immunohistochemical stainings.

作者信息

Arihiro Koji, Oda Miyo, Ogawa Katsunari, Tominaga Kenshi, Kaneko Yoshie, Shimizu Tomomi, Ohnishi Shiho, Oda Megumi, Kurita Yuki, Taira Yuko, Fujii Masayoshi, Tanaka Maiko

机构信息

Department of Anatomical Pathology, Hiroshima University Hospital, Hiroshima 734-8551, Japan.

出版信息

Exp Ther Med. 2010 Nov;1(6):927-932. doi: 10.3892/etm.2010.142. Epub 2010 Aug 26.

DOI:10.3892/etm.2010.142
PMID:22993620
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3446734/
Abstract

The aim of this study was to compare the results of immunohistochemistry (IHC) assays evaluated by human examiners with the results evaluated by computerized image analysis, and to compare the computerized image analysis results among three automated IHC assays, namely the BioGenex, Dako and Ventana assays. All slides were semiquantitatively evaluated according to the Allred score and J-score by human examiners. The images were analyzed using MacSCOPE version 2.6 for Macintosh according to the H-score and the percentage of positive-stained nuclei per area of carcinoma cells (PP) irrespective of the intensity of the stained nuclei. The H-score for the estrogen receptor (ER) was significantly correlated with the Allred score (P<0.0001) and the PP for the ER was significantly correlated with the J-score (P<0.0001), suggesting that the image analysis used in the present study is a useful method for the evaluation of ER status. Several discrepancies were identified between the Allred score and H-score and between the PP and J-score due to the positive-stained cytoplasm area of carcinoma cells and/ or the positive-stained nuclei area of non-carcinoma cells, including benign epithelial cells, lymphocytes and stromal cells. Accordingly, advances in the algorithm of the digitized analyzing system is necessary.

摘要

本研究的目的是比较由人工检查者评估的免疫组织化学(IHC)检测结果与由计算机图像分析评估的结果,并比较三种自动化 IHC 检测方法(即 BioGenex、Dako 和 Ventana 检测方法)的计算机图像分析结果。所有切片均由人工检查者根据 Allred 评分和 J 评分进行半定量评估。使用适用于 Macintosh 的 MacSCOPE 2.6 版本,根据 H 评分和每癌细胞面积的阳性染色细胞核百分比(PP)对图像进行分析,而不考虑染色细胞核的强度。雌激素受体(ER)的 H 评分与 Allred 评分显著相关(P<0.0001),ER 的 PP 与 J 评分显著相关(P<0.0001),这表明本研究中使用的图像分析是评估 ER 状态的一种有用方法。由于癌细胞的阳性染色细胞质区域和/或非癌细胞(包括良性上皮细胞、淋巴细胞和基质细胞)的阳性染色细胞核区域,在 Allred 评分与 H 评分之间以及 PP 与 J 评分之间发现了一些差异。因此,数字化分析系统算法的改进是必要的。

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本文引用的文献

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Pathol Int. 2010 Apr;60(4):305-15. doi: 10.1111/j.1440-1827.2010.02522.x.
2
Computer-based association of the texture of expressed estrogen receptor nuclei with histologic grade using immunohistochemically-stained breast carcinomas.利用免疫组织化学染色的乳腺癌,通过计算机将表达雌激素受体细胞核的纹理与组织学分级进行关联。
Anal Quant Cytol Histol. 2009 Aug;31(4):187-96.
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Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009.治疗阈值:2009年早期乳腺癌主要治疗的圣加仑国际专家共识要点
Ann Oncol. 2009 Aug;20(8):1319-29. doi: 10.1093/annonc/mdp322. Epub 2009 Jun 17.
4
Novel image analysis approach for quantifying expression of nuclear proteins assessed by immunohistochemistry: application to measurement of oestrogen and progesterone receptor levels in breast cancer.用于通过免疫组织化学定量评估核蛋白表达的新型图像分析方法:在乳腺癌雌激素和孕激素受体水平测量中的应用。
Breast Cancer Res. 2008;10(5):R89. doi: 10.1186/bcr2187. Epub 2008 Oct 23.
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Oestrogen receptor status of breast carcinoma: Allred/H score conversion table.乳腺癌雌激素受体状态:奥尔雷德/H评分转换表。
Histopathology. 2008 Sep;53(3):346-7. doi: 10.1111/j.1365-2559.2008.03075.x.
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Assessment of two automated imaging systems in evaluating estrogen receptor status in breast carcinoma.两种自动成像系统在评估乳腺癌雌激素受体状态中的应用
Appl Immunohistochem Mol Morphol. 2007 Dec;15(4):451-5. doi: 10.1097/PAI.0b013e31802ee998.
7
Automated quantitative analysis of estrogen receptor expression in breast carcinoma does not differ from expert pathologist scoring: a tissue microarray study of 3,484 cases.乳腺癌中雌激素受体表达的自动化定量分析与病理专家评分无差异:一项对3484例病例的组织芯片研究
Breast Cancer Res Treat. 2008 Aug;110(3):417-26. doi: 10.1007/s10549-007-9736-z. Epub 2007 Oct 3.
8
Semi-automated imaging system to quantitate estrogen and progesterone receptor immunoreactivity in human breast cancer.用于定量检测人乳腺癌中雌激素和孕激素受体免疫反应性的半自动成像系统。
J Microsc. 2007 Jun;226(Pt 3):244-55. doi: 10.1111/j.1365-2818.2007.01772.x.
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Quantitative analysis of estrogen receptor heterogeneity in breast cancer.乳腺癌中雌激素受体异质性的定量分析。
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