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乳腺癌中 Ki-67 增殖指数作为评估方法的函数:NordiQC 经验。

Ki-67 Proliferation Index in Breast Cancer as a Function of Assessment Method: A NordiQC Experience.

机构信息

NordiQC, Institute of Pathology, Aalborg University Hospital.

Department of Clinical Medicine, Aalborg University, Aalborg.

出版信息

Appl Immunohistochem Mol Morphol. 2021 Feb 1;29(2):99-104. doi: 10.1097/PAI.0000000000000846.

Abstract

Immunohistochemical staining for Ki-67 is used to calculate a Ki-67 proliferation index (PI) that carries prognostic and predictive information in various cancers including breast carcinomas. Studies have documented challenges for observers to reproducibly estimate the Ki-67 PI. At present, no international consensus exists concerning scoring method (eg, hotspots vs. overall average, digital vs. manual counting) or even the definition of a Ki-67-positive cell. To clarify the approach to Ki-67 scoring and evaluation of the interobserver agreement among participants in the Nordic Immunohistochemical Quality Control (NordiQC) Breast Cancer Module, a study was set up on the basis of an online web module containing 15 digitized tissue microarray cores of breast carcinomas stained for Ki-67 in the NordiQC reference laboratory. All participants were invited to attend the study. In addition to Ki-67 scoring, they were asked to disclose their preferred method for Ki-67 estimation and their job title. For comparison, slides were analyzed using a Digital Image Analysis algorithm based on Virtual Double Staining. In total, 199 participants enrolled for the study. Overall, there was a good correlation in Ki-67 PIs among the participants, although results for some cores varied significantly. However, when applying a cutoff of 20%, a relatively low κ value of 0.52 was observed. Participants scoring in hotspots reported higher Ki-67 PIs than participants estimating an overall average, and, not surprisingly, participants who considered weak Ki-67 nuclear staining positive obtained higher Ki-67 PIs than those who did not. Ki-67 PI was not correlated to job title. The Virtual Double Staining algorithm obtained Ki-67 values close to the mean value of the human observers. Our study underlines the need for international standardization and guidelines in estimation of Ki-67 PI. Digital Image Analysis may be a useful tool in this process.

摘要

免疫组织化学染色 Ki-67 用于计算 Ki-67 增殖指数 (PI),该指数在包括乳腺癌在内的各种癌症中具有预后和预测信息。研究表明,观察者在重复性估计 Ki-67 PI 方面存在挑战。目前,关于评分方法(例如,热点与总体平均值、数字与手动计数)甚至 Ki-67 阳性细胞的定义,国际上尚无共识。为了阐明 Ki-67 评分方法,并评估 Nordic Immunohistochemical Quality Control (NordiQC) 乳腺癌模块参与者之间的观察者间一致性,在 NordiQC 参考实验室对 Ki-67 染色的 15 个数字化组织微阵列核心的在线网络模块的基础上设立了一项研究。所有参与者都被邀请参加这项研究。除了 Ki-67 评分外,他们还被要求披露他们首选的 Ki-67 估计方法及其职称。为了进行比较,使用基于虚拟双重染色的数字图像分析算法对切片进行分析。共有 199 名参与者参加了这项研究。总的来说,虽然一些核心的结果存在显著差异,但参与者之间的 Ki-67 PI 相关性较好。然而,当应用 20%的截止值时,观察到相对较低的 κ 值为 0.52。在热点处评分的参与者报告的 Ki-67 PI 高于估计总体平均值的参与者,而且,毫不奇怪,认为弱 Ki-67 核染色阳性的参与者获得的 Ki-67 PI 高于不这样认为的参与者。Ki-67 PI 与职称无关。虚拟双重染色算法获得的 Ki-67 值接近人类观察者的平均值。我们的研究强调了在 Ki-67 PI 估计方面需要国际标准化和指南。数字图像分析在这一过程中可能是一种有用的工具。

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