QUANTITATIVE MEASURES IN BREAST CANCER PATHOLOGY

我们的目标是建立预测的细胞形态学标准 I期乳腺癌复发的概率 几项研究 已经提出了个体形态测量的预后价值， 乳腺癌和偶尔报告的参数 说明了这些变量的区分能力， 与传统的预后因素比较。 然而直到 现在需要特殊的标本处理，费力 方法和/或昂贵的计算机 分析限制了应用。 我们的方法是采用一种新形式的自动分析 称为“上下文分析”，其允许量化 建筑特色，并将其与传统的 计算机高分辨率单细胞分析。 初步研究 显示上下文分析提供信息 与单细胞分析互补。 语境研究 功能将是本研究的一个主要发展方面，因为 它们还没有被用于确定预后。 细针抽吸涂片和相应的组织活检 来自150多名I期疾病患者的样本， 随访5年以上，并进行相关分析 将采用组织学、临床和流行病学因素。 病例在分期和治疗方面将是统一的 协议. 将从两个中心采集标本， 特征分析将由双方独立确认 laboratories. 因此，拟议的研究提供了一个新的和 经济的方法来评估的优点，形态测量， I期乳腺癌预后。

Our goal is to establish cytomorphometric criteria for prediction of breast cancer recurrence in Stage I disease. Several studies have suggested the prognostic merits of individual morphometric parameters in breast cancer and occasional reports have illustrated the discriminatory power of these variables in comparison with conventional prognostic factors. However, until now the necessity for special specimen handling, laborious methods, and/or expensive computers for quantitative cell image analysis have limited the application. Our approach is to employ a new form of automated analysis termed "contextual analysis" which permits quantification of architectural features and combines them with conventional computer high resolution single cell analysis. Preliminary studies show that contextual analysis provides information complementary to single cell analysis. The study of contextual features will be a major developmental aspect of this study, since they have yet to be employed for determination of prognosis. Fine needle aspirate smears and corresponding tissue biopsy specimens from more than 150 patients with Stage I disease, followed over 5 years and being analyzed for pertinent histological, clinical and epidemiologic factors, will be employed. Cases will be unifrom with respect to staging and treatment protocols. Specimens will be acquired from two centers and feature analysis will be independently confirmed by both laboratories. Thus, the proposed study offers a novel and economical approach to assess the merits of morphometry in Stage I breast cancer prognosis.