title: Computerized morphonuclear characteristics and DNA content of adenocarcinoma of the pancreas, chronic pancreatitis, and normal tissues: relationship with histopathologic grading.
abstract: We report the morphonuclear characteristics of normal (13 cases), benign (ie, chronic) pancreatitis (six cases), and neoplastic (ie, ductal) adenocarcinoma (22 cases) tissues of the pancreas. This description is based on computerized cell image analysis, which permits the determination of parameters related to the morphometric (nuclear area), densitometric (nuclear DNA content), and chromatin texture features of Feulgen-stained nuclei from paraffin-embedded archival material. We observed that nuclear area discriminates between normal and benign (ie, chronic pancreatitis) as opposed to neoplastic cell nuclei. Morphonuclear parameters describing chromatin pattern characteristics made it possible to discriminate between grade I pancreatic carcinoma and normal and benign cell nuclei on the one hand, and grades I and III carcinoma on the other hand. The nuclear DNA content increased in a continuous manner from normal and benign through low-grade to high-grade neoplastic tissues of the pancreas. Combining the morphometric, densitometric, and textural parameters into one equation, we were able to calculate a score (ie, the malignancy level index) that showed a close relationship to conventional histopathologic grading. Thus, the computer-aided diagnosis of cytologic specimens from pancreatic lesions offers information of the same significance as that obtained by conventional histopathologic grading.
authors.affiliation: Department of Pathology, Hospital Erasme, Free University of Brussels, Belgium.
authors.forename: F
authors.initials: F
authors.lastname: Rickaert
authors.forename: M
authors.initials: M
authors.lastname: Gelin
authors.forename: D
authors.initials: D
authors.lastname: van Gansbeke
authors.forename: J P
authors.initials: JP
authors.lastname: Lambilliotte
authors.forename: A
authors.initials: A
authors.lastname: Verhest
authors.forename: J L
authors.initials: JL
authors.lastname: Pasteels
authors.forename: G
authors.initials: G
authors.lastname: Kloppel
authors.forename: R
authors.initials: R
authors.lastname: Kiss
mesh_terms: D000230:Adenocarcinoma / Q000235:genetics / Q000401:mortality / Q000473:pathology* / Q000648:ultrastructure; D000368:Aged; D000369:Aged, 80 and over; D002467:Cell Nucleus / Q000473:pathology*; D002908:Chronic Disease; D004247:DNA / Q000032:analysis*; D003952:Diagnostic Imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D010179:Pancreas / Q000166:cytology / Q000648:ultrastructure; D010190:Pancreatic Neoplasms / Q000235:genetics / Q000401:mortality / Q000473:pathology* / Q000648:ultrastructure; D010195:Pancreatitis / Q000235:genetics / Q000473:pathology; D011003:Ploidies; D016019:Survival Analysis
chemical_list: D004247:DNA