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计算机化图像分析套细胞淋巴瘤的 Ki-67 增殖指数。

Computerized image analysis of the Ki-67 proliferation index in mantle cell lymphoma.

机构信息

Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Oslo, Norway.

Department of Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.

出版信息

Histopathology. 2015 Jul;67(1):62-9. doi: 10.1111/his.12624. Epub 2015 Feb 5.

DOI:10.1111/his.12624
PMID:25431344
Abstract

AIMS

Manual counting of the fraction of Ki-67-positive cells (the Ki-67 index) in 1000 tumour cells is considered the 'gold standard' to predict prognosis in mantle cell lymphoma (MCL). This time-consuming method is replaced by the faster, but less accurate, semiquantitative estimation in routine practice. The aim of this study was to investigate the use of computerized image analysis software for scoring of Ki-67 in MCL.

METHODS AND RESULTS

We developed an automated method for determining the Ki-67 index by computerized image analysis and tested it using a cohort of 62 MCL patients. The data were compared to Ki-67 scores obtained by semiquantitative estimation and image-based manual counting. When using the Ki-67 index as a continuous parameter, both image-based manual counting and computerized image analysis were related inversely to survival (P = 0.020 and P = 0.025, respectively). Ki-67 index obtained by semiquantitative estimation was not associated significantly with survival (P = 0.093). The results were validated in a second patient cohort with similar results.

CONCLUSION

Computerized image analysis of the Ki-67 index in MCL is an attractive alternative to semiquantitative estimation and can be introduced easily in a routine diagnostic setting for risk stratification in MCL.

摘要

目的

手动计数 1000 个肿瘤细胞中 Ki-67 阳性细胞的比例(Ki-67 指数)被认为是预测套细胞淋巴瘤(MCL)预后的“金标准”。这种耗时的方法在常规实践中被更快但准确性较低的半定量估计所取代。本研究旨在探讨计算机图像分析软件在 MCL 中 Ki-67 评分中的应用。

方法和结果

我们开发了一种通过计算机图像分析确定 Ki-67 指数的自动化方法,并使用 62 名 MCL 患者的队列对其进行了测试。将数据与通过半定量估计和基于图像的手动计数获得的 Ki-67 评分进行比较。当将 Ki-67 指数作为连续参数时,基于图像的手动计数和计算机图像分析均与生存呈负相关(P=0.020 和 P=0.025)。半定量估计获得的 Ki-67 指数与生存无显著相关性(P=0.093)。在具有类似结果的第二个患者队列中验证了这些结果。

结论

MCL 中 Ki-67 指数的计算机图像分析是半定量估计的一种有吸引力的替代方法,可以在常规诊断环境中轻松引入,用于 MCL 的风险分层。

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