title: Computerized morphonuclear cell image analyses of malignant disease in bladder tissues.
abstract: We analyzed the relationship between several morphonuclear parameters related to nuclear size, densitometry (deoxyribonucleic acid content and ploidy) and the chromatin pattern versus the histopathological grading of 46 bladder cancer samples graded according to the World Health Organization classification. We used a SAMBA 200 cell image processor with software allowing for the discrimination of 15 different parameters on Feulgen-stained imprint smears. In addition, we set up preliminary data banks that enable objective and reproducible grading of unknown cases. This approach must be validated in a large series of cases to create an expert system for bladder malignancy diagnosis.
authors.affiliation: Department of Pathology, Hospital Brugmann, Brussels, Belgium.
authors.forename: C
authors.initials: C
authors.lastname: de Prez
authors.forename: Y
authors.initials: Y
authors.lastname: de Launoit
authors.forename: R
authors.initials: R
authors.lastname: Kiss
authors.forename: M
authors.initials: M
authors.lastname: Petein
authors.forename: J L
authors.initials: JL
authors.lastname: Pasteels
authors.forename: A
authors.initials: A
authors.lastname: Verhest
authors.forename: R
authors.initials: R
authors.lastname: Van Velthoven
mesh_terms: D002455:Cell Division; D002467:Cell Nucleus / Q000648:ultrastructure; D004273:DNA, Neoplasm / Q000032:analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008432:Mathematical Computing; D011003:Ploidies; D001749:Urinary Bladder Neoplasms / Q000032:analysis / Q000235:genetics / Q000473:pathology*
chemical_list: D004273:DNA, Neoplasm