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肿瘤性肾穿刺物与良性肾组织的形态计量分析。

Morphometric analysis of neoplastic renal aspirates and benign renal tissue.

作者信息

Unger P D, Watson C W, Liu Z, Gil J

机构信息

Lillian & Henry M. Stratton-Hans Popper Department of Pathology, Mount Sanai School of Medicine, City University of New York, New York.

出版信息

Anal Quant Cytol Histol. 1993 Feb;15(1):61-6.

PMID:8471107
Abstract

This study was designed to develop a practical morphometric procedure for the diagnosis of carcinoma in renal aspirates. We studied aspirates from renal cell carcinomas (grades 1-2) and normal kidneys. Video images of nuclei were traced on a high-resolution, touch-sensitive screen connected to an image analysis system. From each tracing the computer calculated nuclear perimeter length, nuclear profile area, maximal chord length, and the means and standard deviation for all measurements. Size distribution of nuclear profile areas and perimeter length in discrete bins ranged, respectively, from 30 to 80 at 10 microns2 intervals for areas and from 1 to 12 microns at 1-micron intervals for the maximum chords. The size distribution plots for the maximal chord of individual nuclei demonstrated an early narrow peak at low values for normal renal aspirates (peak located in the class ranging from 7 to 8 microns), while a broader, flatter peak with a shift to the right and a malignant tail was seen in renal cell carcinoma aspirates (peak located at 9-10 microns). These data were used for multivariate analysis to form two categories to establish a data base against which unknown cases could be tested. Multivariate analysis using a total of 14 variables yielded a value of 169.1 for the euclidean distances between the center of clusters of the neoplastic and normal renal aspirates and confirmed the classification with posterior probabilities of 1.0. From these data, automated classificatory analysis of 10 unknown cases was performed by means of the k-nearest neighbor procedure, with correct classification established in each case.

摘要

本研究旨在开发一种实用的形态测量程序,用于诊断肾穿刺抽吸物中的癌。我们研究了肾细胞癌(1-2级)和正常肾脏的抽吸物。在连接到图像分析系统的高分辨率、触摸感应屏幕上追踪细胞核的视频图像。计算机从每次追踪中计算细胞核周长、核轮廓面积、最大弦长以及所有测量值的均值和标准差。核轮廓面积和周长在离散区间的大小分布,面积分别以10微米²的间隔从30到80,最大弦长以1微米的间隔从1到12微米。单个细胞核最大弦长的大小分布图显示,正常肾穿刺抽吸物在低值处有一个早期狭窄峰(峰位于7至8微米的类别中),而肾细胞癌穿刺抽吸物中则可见一个更宽、更平坦的峰,向右移动并有一个恶性尾巴(峰位于9至10微米)。这些数据用于多变量分析,形成两类以建立一个数据库,未知病例可据此进行检测。使用总共14个变量的多变量分析得出肿瘤性和正常肾穿刺抽吸物聚类中心之间的欧几里得距离值为169.1,并以1.0的后验概率确认了分类。根据这些数据,通过k近邻程序对10个未知病例进行了自动分类分析,每个病例均建立了正确分类。

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