Nuclear chromatin patterns in normal, hyperplastic and atypical endometrium

F. A.R. Garcia, J. R. Davis, D. S. Alberts, K. Hatch, B. Weyn, D. Thompson, P. H. Bartels

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


OBJECTIVE: To characterize the nuclei of endometrial lesions for the diagnostic categories of normal glandular tissue, simple hyperplasia, atypical hyperplasia and adenocarcinoma of the endometrium, with the specific goal of probing for heterogeneity. STUDY DESIGN: For each diagnostic category the images of 360 nuclei were recorded on a high-resolution video microphotometer. Features descriptive of the statistical and spatial distribution of nuclear chromatin were computed for each nucleus. A nonsupervised learning algorithm, P-index, was employed to establish subsets of nuclei within each diagnostic category and to determine whether these subsets were statistically significantly different in the nuclear chromatin pattern. RESULTS: Lesions from cases of hyperplasia, atypical hyperplasia and adenocarcinoma of the endometrium each contained several subsets of nuclei with statistically significantly different chromatin patterns. For one such subset from each diagnostic category, a clear trend of progression toward adenocarcinoma could be demonstrated. CONCLUSION: The nuclei in endometrial lesions represent a highly heterogeneous set. Any measure of lesion progression or regression due to chemopreventive intervention, in an individual case, will have to examine the proportion of nuclei in each of these subsets as well as measures of deviation from normal for each subset.

Original languageEnglish (US)
Pages (from-to)144-150
Number of pages7
JournalAnalytical and Quantitative Cytology and Histology
Issue number2
StatePublished - 2001


  • Cell nucleus
  • Chromatin
  • Endometrial neoplasms

ASJC Scopus subject areas

  • Anatomy
  • Histology


Dive into the research topics of 'Nuclear chromatin patterns in normal, hyperplastic and atypical endometrium'. Together they form a unique fingerprint.

Cite this