title: Comparison of quantitative histomorphometry and DNA ploidy in tissue sections of prostate carcinoma.
abstract: OBJECTIVE
  To examine the ability of quantitative histomorphometry to predict DNA ploidy of prostate carcinoma in biopsy tissue sections assigned after quantitation by nuclear digital image analysis.
  
  
  METHODS
  Thirty-five diploid, 35 tetraploid and 35 aneuploid prostatic carcinomas in biopsies, assessed by the CAS 200 image analyzer (Bacus Laboratories, Lombard, Illinois, U.S.A.), were reevaluated by the Bacus Laboratories Incorporated Slide Scanner, a microscope that quantifies histologic images. Thirty-one histomorphometric features from cancer cells were captured at 40 x magnification, averaged across tilesfor each case and incorporated into a multivariate discriminant model to determine which features predicted ploidy interpretation by nuclear image analysis using the CAS 200.
  
  
  RESULTS
  On average, 60 and 15 minutes were required to perform nuclear image analysis and histomorphometry, respectively. The multivariate discriminant model identified configurable run length, difference variance, contrast, inverse difference moment, sum entropy and diagonal variance as histomorphometry features capable of distinguishing diploid from nondiploid tumors (P < .05). Cross-validation studies showed the model correctly classified 74.3% of the diploid and 57.1% of the nondiploid cases.
  
  
  CONCLUSIONS
  Quantitative histomorphometry can predict the ploidy of prostate carcinoma in biopsy tissue sections. Quantitative histomorphometry has potential as a method of rapidly assessing DNA ploidy otherwise earmarked for nuclear image analysis, resulting in savings of time and expense.
authors.affiliation: Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, USA.
authors.forename: Paul A
authors.initials: PA
authors.lastname: Kay
authors.forename: Darren L
authors.initials: DL
authors.lastname: Riehle
authors.forename: John C
authors.initials: JC
authors.lastname: Cheville
authors.forename: Christine M
authors.initials: CM
authors.lastname: Lohse
authors.forename: V Shane
authors.initials: VS
authors.lastname: Pankratz
authors.forename: Eunice M
authors.initials: EM
authors.lastname: Hill
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Sebo
mesh_terms: D000230:Adenocarcinoma / Q000235:genetics* / Q000473:pathology; D004273:DNA, Neoplasm / Q000032:analysis*; D016002:Discriminant Analysis; D006801:Humans; D019044:Image Cytometry / Q000379:methods*; D007091:Image Processing, Computer-Assisted; D008297:Male; D011003:Ploidies; D011471:Prostatic Neoplasms / Q000235:genetics* / Q000473:pathology; D015203:Reproducibility of Results
chemical_list: D004273:DNA, Neoplasm