title: Report on a long-term trial of CYBEST Model 2 for prescreening for squamous cell carcinoma of the uterine cervix.
abstract: The results of a 12 year field trial, on a large patient base, of the CYBEST Model 2, an automated screening system using an image analysis method, are summarized. The cell specimens were stained by a conventional Papanicolaou method. Individual cellular atypism was determined from the sum of the nuclear area, the N/C ratio, the mean nuclear optical density, and the nuclear roundness with an ambiguity function value of 0.4295. CYBEST's final assessment as 'suspicious' or 'normal' was statistically determined from a cumulative histogram of the cellular atypism of a maximum 300 detected cells for each cell population using the Kolmogrov-Smirnov test, and those of unsatisfactory samples were automatically classed as 'rejected', which occurred in 6% of the study. A total of 84 atypical preparations including 17 histologically proven carcinoma patients were encountered during the entire test period from 1977 to 1988, and the overall false negative rate was 1.19% (1/84). Among the results on a total of 42,988 slides during the test period of the last 9 years from 1980 to 1988, the false positives occurred at a rate of 30.7% (12,383/40,307 of non-dysplastic slides) and the false negatives at approximately 2% (1/55 of dysplastic slides). These results are compared with those of other important systems.
authors.affiliation: Department of Pathology, Kanazawa Medical University, Japan.
authors.forename: A
authors.initials: A
authors.lastname: Mukawa
authors.forename: Y
authors.initials: Y
authors.lastname: Kamitsuma
authors.forename: S
authors.initials: S
authors.lastname: Tsunekawa
authors.forename: N
authors.initials: N
authors.lastname: Tanaka
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008403:Mass Screening / Q000295:instrumentation*; D002583:Uterine Cervical Neoplasms / Q000473:pathology*