Computerized image analysis of nuclear shape as a prognostic factor for prostatic cancer

David A. Diamond, Stephen J. Berry, Christopher Umbricht, Hugh J. Jewett, Donald S. Coffey

Research output: Contribution to journalArticlepeer-review

85 Scopus citations


Computer assisted image analysis was used to determine quantitative and reproducible nuclear morphology of 17 totally excised pathological specimens from stage B‐2 prostatic cancer in an attempt to correlate histopathological analysis with clinical prognosis for the individual patient. We describe a nuclear roundness factor that correlates with the clinical outcome of the individual patient. This nuclear shape factor appears to identify prostatic tumors with a high metastatic potential from tumors that are less aggressive. Quantitative nuclear image analysis, its accuracy, and reproducibility are described and discussed. This technique may provide the pathologist with a valuable tool for analyzing prostatic cancer cells in a quantitative manner, thereby contributing precise information to the urologist relevant to the prognosis of the individual patient.

Original languageEnglish (US)
Pages (from-to)321-332
Number of pages12
JournalThe Prostate
Issue number4
StatePublished - 1982


  • computer digitization
  • image analysis
  • nuclear roundness
  • nucleus
  • prostate cancer

ASJC Scopus subject areas

  • Oncology
  • Urology


Dive into the research topics of 'Computerized image analysis of nuclear shape as a prognostic factor for prostatic cancer'. Together they form a unique fingerprint.

Cite this