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乳腺癌细胞学标本中核仁形态计量学变量的预后价值。

Prognostic value of nucleolar morphometric variables in cytological breast cancer specimens.

作者信息

van Diest P J, Mouriquand J, Schipper N W, Baak J P

机构信息

Institute of Pathology, Free University Hospital, Amsterdam, The Netherlands.

出版信息

J Clin Pathol. 1990 Feb;43(2):157-9. doi: 10.1136/jcp.43.2.157.

Abstract

In a retrospective study on cytological specimens from 86 patients with histologically confirmed invasive breast cancer, the prognostic value of nucleolar morphometric variables was studied and compared with nuclear variables. One hundred nuclei and their nucleoli on each slide were measured with a graphic tablet system at a total magnification of 2800 times using a stratified selection method. The number of nucleoli per 100 nuclei was also noted. Analysis of Kaplan-Meier univariate recurrence free survival curves showed significant differences for eight nuclear features, nine nucleolar features, and three combined nuclear and nucleolar variables. The total number of nucleoli per 100 nuclei was the best single prognostic variable. Multivariate survival analysis (Cox regression model) showed that no other features provided additional prognostic information beyond that given by the total number of nucleoli. It is concluded that nucleolar morphometric variables assessed in cytological preparations have prognostic value in breast cancer, and the results of this study suggest that their prognostic value may exceed that of nuclear variables.

摘要

在一项对86例经组织学确诊为浸润性乳腺癌患者的细胞学标本的回顾性研究中,研究了核仁形态计量学变量的预后价值,并与核变量进行了比较。使用分层选择方法,在2800倍的总放大倍数下,用图形输入板系统测量每张载玻片上的100个细胞核及其核仁。还记录了每100个细胞核中的核仁数量。对Kaplan-Meier单变量无复发生存曲线的分析显示,8个核特征、9个核仁特征以及3个核与核仁联合变量存在显著差异。每100个细胞核中的核仁总数是最佳的单一预后变量。多变量生存分析(Cox回归模型)表明,除核仁总数所提供的信息外,没有其他特征能提供额外的预后信息。结论是,在细胞学制剂中评估的核仁形态计量学变量在乳腺癌中具有预后价值,本研究结果表明其预后价值可能超过核变量。

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