Data Representation and Reduction for Chromatin Texture in Nuclei From Premalignant Prostatic, Esophageal, and Colonic Lesions

Cytometry. 2000 Oct 1;41(2):133-8.

Abstract

Background: To identify nuclei and lesions with great specificity, a large set of karyometric features is arranged in the form of a linear profile, called a nuclear signature. The karyometric feature values are normalized as z-values. Their ordering along the profile axis is arbitrary but consistent. The profile of the nuclear signature is distinctive; it can be characterized by a new set of variables called contour features. A number of data reduction methods are introduced and their performance is compared with that of the karyometric features in the classification of prostatic, colonic, and esophageal lesions.

Methods: Contour characteristics were reduced to descriptive statistics of the set of z-values in the nuclear signature and to sequence information. The contour features derived were (1) relative frequencies of occurrence of z-values and of their differences and (2) co-occurrence statistics, run lengths of z-values, and statistics of higher-order dependencies. Performance was evaluated by comparing classification scores of diagnostic groups.

Results: Rates for correct classification by karyometric features alone and contour features alone indicate equivalent performance. Classification by a combined set of features led to an increase in correct classification.

Conclusions: Image analysis and subsequent data reduction of nuclear signatures of contour features is a novel method, providing quantitative information that may lead to an effective identification of nuclei and lesions.

Publication types

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

MeSH terms

  • Cell Nucleus / ultrastructure
  • Chromatin / ultrastructure*
  • Colon / pathology*
  • Colonic Neoplasms / classification*
  • Colonic Neoplasms / diagnosis
  • Colonic Neoplasms / genetics
  • Esophageal Neoplasms / classification*
  • Esophageal Neoplasms / diagnosis
  • Esophageal Neoplasms / genetics
  • Esophagus / pathology*
  • Humans
  • Image Cytometry / methods*
  • Image Processing, Computer-Assisted
  • Karyometry
  • Male
  • Neoplasm Invasiveness / genetics
  • Precancerous Conditions / pathology
  • Prostate / pathology*
  • Prostatic Intraepithelial Neoplasia / classification*
  • Prostatic Intraepithelial Neoplasia / diagnosis
  • Prostatic Intraepithelial Neoplasia / genetics
  • Prostatic Neoplasms / classification*
  • Prostatic Neoplasms / diagnosis
  • Prostatic Neoplasms / genetics

Substances

  • Chromatin