title: Computer recognition of gastric (pre)malignancy with the aid of some biochemical, immunological and cytological data.
abstract: 17 patients with gastric pre-malignancy and 26 without it were correctly classified on the basis of the data from gastric juice (amount, pH, diphenylamine extinction, immunoglobulin A concentration, and total, parietal and surface epithelial cell counts) and from serum (immunoglobulin A concentration) using a kybernetic method of pattern recognition. The most decisive indices appear to be the diphenylamine extinction and immunoglobulin A concentration of gastric juice. Although X-rays, endoscopy and biopsy are the substantial diagnostic methods for gastric (pre-) malignancy a wide screening is desirable to recognize those people who are still asymptomatic but need the special examinations. We propose for this purpose a set of a few simple tests from blood serum and gastric juice, evaluated by method of pattern recognition.
mesh_terms: D000328:Adult; D000368:Aged; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D005745:Gastric Acidity Determination; D005750:Gastric Juice / Q000276:immunology / Q000378:metabolism; D005757:Gastritis, Atrophic / Q000175:diagnosis / Q000503:physiopathology; D006801:Humans; D007070:Immunoglobulin A / Q000032:analysis; D008297:Male; D008875:Middle Aged; D011230:Precancerous Conditions / Q000175:diagnosis* / Q000276:immunology / Q000503:physiopathology; D013274:Stomach Neoplasms / Q000175:diagnosis* / Q000276:immunology / Q000503:physiopathology
chemical_list: D007070:Immunoglobulin A