Poulin N, Susnik B, Guillaud M, Doudkine A, Worth A, Palcic B
B.C. Cancer Research Centre, B.C. Cancer Agency, Vancouver, Canada.
Anal Quant Cytol Histol. 1995 Oct;17(5):291-9.
To evaluate histometric measurement of nuclear texture in breast biopsy sections in order to detect malignancy-associated changes in apparently normal tissue in the vicinity of carcinoma in situ.
We previously showed that image cytometry measurements of nuclear features--foremost, texture features, describing the organization of Feulgenstained DNA in the cell--can be used to distinguish normal-appearing, diploid epithelial cells from patients with invasive carcinoma of the breast from those with benign biopsies. In that study, referred to as the "single cell analysis," images of at least 200 epithelial cells were acquired for each slide, and substantial user interaction was required to segment cells from each field. Location of isolated cells and interactive segmentation are both time-consuming procedures, particularly in breast tissue, where nuclei can be tightly clustered within a duct. With histometric texture analysis on the same specimens, segmentation of individual cells was ignored, and texture measurements were performed over the entire cluster of relevant cells. With this approach, ploidy information is not available, and touching and overlapping nuclei are included in the measurements. Measurement of histometric texture properties requires substantially less time (at least an order of magnitude) than individual cell measurement and, if ploidy information is not significant, may therefore provide a more practical means of analysis for tissue sections.
Seventeen cases of invasive carcinoma and 17 cases of nonproliferative breast disease were examined. Using stepwise discriminant function analysis, slides were classified into one of the two groups with an accuracy of 88.6% in the case of single cell analysis and with an accuracy of 88.2% using histometric analysis.
The existence of malignancy-associated changes in the breast was confirmed by an independent analysis of the same specimens. Although the two methods are not directly comparable, we found that histometric texture analysis performs at least as well as single-cell analysis for the detection of malignancy-associated changes in breast carcinoma.
评估乳腺活检切片中核纹理的组织形态计量学测量，以检测原位癌附近看似正常组织中与恶性肿瘤相关的变化。
我们之前表明，通过图像细胞术测量核特征——最重要的是纹理特征，它描述了福尔根染色的DNA在细胞中的组织情况——可用于区分乳腺浸润癌患者与良性活检患者中外观正常的二倍体上皮细胞。在那项被称为“单细胞分析”的研究中，每张载玻片采集至少200个上皮细胞的图像，并且需要大量的用户交互来从每个视野中分割细胞。分离细胞的定位和交互式分割都是耗时的程序，特别是在乳腺组织中，细胞核可能紧密聚集在导管内。在对相同标本进行组织形态计量学纹理分析时，忽略了单个细胞的分割，而是对相关细胞的整个簇进行纹理测量。通过这种方法，无法获得倍性信息，测量中包括了相互接触和重叠的细胞核。组织形态计量学纹理特性的测量比单个细胞测量所需时间大幅减少（至少一个数量级），因此，如果倍性信息不重要，可能为组织切片提供一种更实用的分析方法。
检查了17例浸润癌和17例非增殖性乳腺疾病。使用逐步判别函数分析，在单细胞分析中，载玻片被分为两组之一的准确率为88.6%，使用组织形态计量学分析的准确率为88.2%。
通过对相同标本的独立分析，证实了乳腺中存在与恶性肿瘤相关的变化。虽然这两种方法不能直接比较，但我们发现组织形态计量学纹理分析在检测乳腺癌中与恶性肿瘤相关的变化方面至少与单细胞分析表现相当。
