肾细胞癌的计算机核形态测定。

General & diagnostic pathology Pub Date : 1996-10-01
E Paraskevakou, N Kavantzas, P M Pavlopoulos, A Delibasis, D Yova, P Davaris
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引用次数: 0

摘要

本研究的目的是通过计算机辅助图像分析和核形态学参数与肿瘤组织学分级的统计比较来评估核形态学在肾细胞癌病理中的作用。本文对44例肾细胞癌进行了检查,并由两位独立的病理学家将其分为4个组织学级别(I-IV)。随机抽取大量细胞核进行5个核形态测量参数:长轴长度、面积、伸长率、圆度和致密度。采用组织学分级(I-IV)四组间的单因素方差分析进行统计学评价。在他们之间,所有评估参数的平均值有统计学上非常显著的差异。除了圆度和致密度外,估计参数的值随组织学分级呈比例增加的强烈趋势。我们的研究结果表明,图像分析是一种可重复和客观的肾细胞癌分级方法,有助于对此类肿瘤进行公正的评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computerized nuclear morphometry of renal cell carcinomas.

The aim of this study was the evaluation of the usefulness of nuclear morphometry in the pathology of renal cell carcinoma by computer-aided image analysis and the statistical comparison of nuclear morphometric parameters with the histologic grade of the tumors. 44 cases of renal cell carcinoma, classified by two independent pathologists into 4 histologic grades (I-IV), were examined. The following 5 nuclear morphometric parameters were measured in a large number of randomly selected nuclei of each case: Major axis length, area, elongation, roundness and compactness. The statistical evaluation was performed using one-way analysis of variance between the four groups of the histologic grades (I-IV). Between them, there was a statistically very significant difference of the mean value of all the evaluated parameters. The values of the estimated parameters, with the exception of roundness and compactness, showed a strong tendency to increase in proportion to histologic grade. Our results suggest that image analysis is a reproducible and objective method for the grading of renal cell carcinoma, and it can be helpful in the unbiased evaluation of such tumors.

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