Progression curves for endometrial lesions

P. H. Bartels, F. A.R. Garcia, J. Davis, V. D. Da Silva, H. G. Bartels, D. Thompson, D. S. Alberts

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


OBJECTIVE: To derive a numeric measure for the progression of endometrial lesions as a baseline study for an eventual assessment of chemopreventive intervention efficacy. STUDY DESIGN: Tissue sections from normal endometrium at the proliferative and secretory phase, simple hyperplasia, atypical hyperplasia from cases free of concomitant adenocarcinoma and adenocarcinoma of the endometrium were recorded at high spatial resolution. Six cases from each diagnostic category were chosen as "typical," and 60 epithelial nuclei were randomly selected for measurement for each case. Discriminant analyses were carried out to derive a direction of progressive change in feature space and to correct the progression curve for the presence of cells not expressing progressive change among the random sample of nuclei. RESULTS: A well-conditioned progression curve was derived based on the mean discriminant function scores for each diagnostic category and the mean nuclear abnormality of the nuclei in each category, as expressed by their deviation in feature values from normal reference nuclei. The lesion signatures showed a clear trend toward extension into the range of higher nuclear abnormalities with increasing progression. There was an indication that abnormal endometrial lesions may comprise cases with distinctly different degrees of nuclear abnormality. CONCLUSION: A numeric assessment of lesion progression for endometrial lesions, based on karyometric measurements, is possible. The data suggest that additional analysis may provide further characterizing information for individual lesions.

Original languageEnglish (US)
Pages (from-to)1-8
Number of pages8
JournalAnalytical and Quantitative Cytology and Histology
Issue number1
StatePublished - 2001


  • Computer-assisted
  • Endometrial neoplasms
  • Hyperplasia
  • Image analysis
  • Progression curves

ASJC Scopus subject areas

  • Anatomy
  • Histology


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