Literature DB >> 2206193

Method for the quantitative evaluation of the distribution pattern of nuclei in normal and malignant endometrial epithelia.

F Tezuka1, I Sato, H Higashiiwai, N Endo, K Ito, M Kasai.   

Abstract

A quantitative method of evaluating the pattern of distribution of nuclei within a cell cluster was developed and applied to endometrial cytology. The distribution pattern (DP) is mathematically expressed using a "DP index," which can be determined as a product of the square root of the nuclear density, square root of n0, and the mean distance between the two nearest nuclei, r. The DP index has a limited range of decreasing values from 1.074 to 0.5 to 0, indicative of regular, random and aggregated patterns of nuclear distribution, respectively. The estimated DP index was 0.831 +/- 0.031 (mean +/- standard deviation) in the clusters of normal endometrial epithelial cells from 16 nonneoplastic cases, but 0.638 +/- 0.041 in malignant epithelia from 19 cases of well-differentiated adenocarcinoma. The index of normal epithelia was close to 0.877 of the regular hexagonal distribution pattern. Contrary to this, the DP index was significantly smaller in well-differentiated adenocarcinoma (P less than .001), approaching 0.5, the theoretical value of a random distribution pattern. These findings suggest that quantitative analysis of the distribution pattern of nuclei can be a useful aid in the cytodiagnosis of endometrial lesions.

Entities:  

Mesh:

Year:  1990        PMID: 2206193

Source DB:  PubMed          Journal:  Anal Quant Cytol Histol        ISSN: 0884-6812            Impact factor:   0.302


  2 in total

1.  Quantitative assessment of gastric atrophy using the syntactic structure analysis.

Authors:  A M Zaitoun; H al Mardini; C O Record
Journal:  J Clin Pathol       Date:  1998-12       Impact factor: 3.411

2.  Syntactic structure analysis in uveal melanomas.

Authors:  K Coleman; P J van Diest; J P Baak; J Mullaney
Journal:  Br J Ophthalmol       Date:  1994-11       Impact factor: 4.638

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.