title: [Image analysis of precancerous and carcinomatous changes of large intestine in histopathologic diagnosis].
abstract: This article reports the image analysis in the study of normal mucosa, polypoid adenoma, villus adenoma, atypical hyperplasia and tubular adenocarcinoma of the large intestine (15 cases each). The following 8 parameters: nuclear area (NA), plasma area (PA), ratio of nuclear to plasma area (RNPA), mean nuclear diameter, nuclear length, nuclear width, cell volume density and cell surface area density (SV) were observed and compared. Each value was tested by stepwise discriminational classification, giving an accuracy rate of 98%. These results suggested that analysis of variance in these groups was very significant in statistics (P less than 0.01). The mean values of RNPA and SV were especially significantly different between the adenocarcinoma group and the other groups (P less than 0.01). These results show that image analysis may be of importance in the histopathologic differentiation of precancerous from carcinomatous lesions.
authors.affiliation: PLA General Hospital, Jinan Command, Shandong.
authors.forename: X Z
authors.initials: XZ
authors.lastname: Xu
mesh_terms: D000230:Adenocarcinoma / Q000473:pathology*; D000236:Adenoma / Q000473:pathology; D003110:Colonic Neoplasms / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007413:Intestinal Mucosa / Q000473:pathology; D011127:Polyps / Q000473:pathology; D011230:Precancerous Conditions / Q000473:pathology*; D012004:Rectal Neoplasms / Q000473:pathology