Digital pathology: elementary, rapid and reliable automated image analysis
Digital pathology: elementary, rapid and reliable automated image analysis
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DOI：
10.1111/his.12867
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发表时间：
2016-05-01
期刊：
影响因子：
6.4
通讯作者：
Bol, Vanesa
中科院分区：
文献类型：
--
作者：
Bouzin, Caroline;Saini, Monika L.;Bol, Vanesa
目的：载玻片数字化将病理学带入了一个新时代，包括强大的图像分析可能性。然而，虽然是一个强大的预后工具，免疫染色数字图像的自动化分析仍然没有在全球范围内实施在常规的临床practice.Methods和结果：数字化活检切片从两个独立的队列的患者，免疫染色膜或核标记物，定量与两个自动化的方法。第一种是基于通过组织分割的染色细胞计数，而第二种依赖于组织切片内的染色面积比例。还评估和验证了图像准备的不同步骤，如自动组织检测、折叠排除和扫描放大。发现染色细胞或染色区域的定量与所有测试标志物高度相关。这两种方法也与病理学家进行的视觉评分相关。对于一个等效的可靠性，定量的染色面积，但是，更快，更容易微调，因此更兼容的时间限制pregnancy.Conclusions：这项工作提供了一个激励的自动化免疫染色分析的实施与染色面积的方法在常规的实验室实践。
Aims: Slide digitalization has brought pathology to a new era, including powerful image analysis possibilities. However, while being a powerful prognostic tool, immunostaining automated analysis on digital images is still not implemented worldwide in routine clinical practice.Methods and results: Digitalized biopsy sections from two independent cohorts of patients, immunostained for membrane or nuclear markers, were quantified with two automated methods. The first was based on stained cell counting through tissue segmentation, while the second relied upon stained area proportion within tissue sections. Different steps of image preparation, such as automated tissue detection, folds exclusion and scanning magnification, were also assessed and validated. Quantification of either stained cells or the stained area was found to be correlated highly for all tested markers. Both methods were also correlated with visual scoring performed by a pathologist. For an equivalent reliability, quantification of the stained area is, however, faster and easier to fine-tune and is therefore more compatible with time constraints for prognosis.Conclusions: This work provides an incentive for the implementation of automated immunostaining analysis with a stained area method in routine laboratory practice.