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通过浸润性乳腺癌全肿瘤切片的图像处理实现全自动微血管计数和热点选择。

Fully automated microvessel counting and hot spot selection by image processing of whole tumour sections in invasive breast cancer.

作者信息

Beliën J A, Somi S, de Jong J S, van Diest P J, Baak J P

机构信息

Department of Pathology, Academic Hospital Vrije Universiteit, Amsterdam, The Netherlands.

出版信息

J Clin Pathol. 1999 Mar;52(3):184-92. doi: 10.1136/jcp.52.3.184.

Abstract

BACKGROUND

Manual counting of microvessels is subjective and may lead to unacceptable interobserver variability, which may explain conflicting results.

AIMS

To develop and test an automated method for microvessel counting and objective selection of the hot spot, based on image processing of whole sections, and to compare this with manual selection of a hot spot and counting of microvessels.

METHODS

Microvessels were stained by CD31 immunohistochemistry in 10 cases of invasive breast cancer. The number of microvessels was counted manually in a subjectively selected hot spot, and also in the same complete tumour sections by interactive and automated image processing methods. An algorithm identified the hot spots from microvessel maps of the whole tumour section.

RESULTS

No significant difference in manual microvessel counts was found between two observers within the same hot spot, and counts were significantly correlated. However, when the hot spot was reselected, significantly different results were found between repeated counts by the same observer. Counting all microvessels manually within the entire tumour section resulted in significantly different hot spots than manual counts in selected hot spots by the same observer. Within the entire tumour section no significant differences were found between the hot spots of the manual and automated methods using an automated microscope. The hot spot was found using an eight connective path search algorithm, was located at or near the border of the tumour, and (depending on the size of the hot spot) did not always contain the field with the largest number of microvessels.

CONCLUSIONS

The automated counting of microvessels is preferable to the manual method because of the reduction in measurement time when the complete tumour is scanned, the greater accuracy and objectivity of hot spot selection, and the possibility of visual inspection and relocation of each measurement field afterwards.

摘要

背景

微血管的人工计数具有主观性,可能导致观察者间出现不可接受的变异性,这或许可以解释相互矛盾的结果。

目的

基于全切片的图像处理,开发并测试一种用于微血管计数和热点客观选择的自动化方法,并将其与热点的人工选择及微血管计数进行比较。

方法

对10例浸润性乳腺癌病例的微血管进行CD31免疫组化染色。在主观选择的热点区域人工计数微血管数量,同时也通过交互式和自动化图像处理方法在相同的完整肿瘤切片中进行计数。一种算法从整个肿瘤切片的微血管图中识别出热点。

结果

在同一热点区域,两名观察者的人工微血管计数无显著差异,且计数具有显著相关性。然而,当重新选择热点时,同一观察者的重复计数结果存在显著差异。在整个肿瘤切片中人工计数所有微血管所得到的热点与同一观察者在选定热点区域的人工计数结果显著不同。在整个肿瘤切片中,使用自动显微镜的人工和自动化方法的热点之间没有发现显著差异。通过八连通路径搜索算法找到的热点位于肿瘤边界处或附近,并且(取决于热点的大小)并不总是包含微血管数量最多的区域。

结论

微血管的自动化计数优于人工方法,因为扫描完整肿瘤时测量时间减少,热点选择的准确性和客观性更高,并且之后可以对每个测量区域进行目视检查和重新定位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a20b/501077/92d5efb5f506/jclinpath00276-0027-a.jpg

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