Tissue architecture analysis in prostate cancer and its precursors: An innovative approach to computerized histometry

Eur Urol. 1999;35(5-6):484-91. doi: 10.1159/000019884.


Aims: It is the aim of these studies to derive a numerically defined progression index for prostatic intraepithelial neoplasia (PIN) lesions.

Methods: Histometric and karyometric features were automatically extracted from images of histopathologic sections by a machine vision system.

Results: Both histometric and karyometric measures lend themselves to the defining of a progression index. Karyometric features were found to be more sensitive. They allow the detection of very early change.

Conclusions: It is possible to measure progression of PIN lesions with precision. The methodology would lend itself for measurement of regression due to chemopreventive intervention.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.
  • Review

MeSH terms

  • Artificial Intelligence
  • Carcinoma in Situ / pathology*
  • Cell Nucleus / pathology*
  • Diagnosis, Differential
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Karyometry
  • Male
  • Precancerous Conditions / pathology*
  • Prognosis
  • Prostatic Neoplasms / pathology*
  • Reference Values
  • Sensitivity and Specificity
  • Severity of Illness Index