title: The use of an automated image cytometer for screening and quantitative assessment of cervical lesions in the British Columbia Cervical Smear Screening Programme.
abstract: The development of an automated device to screen cervical cytology slides for the detection of pre-invasive lesions of the cervix has been the goal of many individuals for over 30 years. The increasing sophistication of the technology of automation and increasingly powerful computer technology have enabled a number of these systems to reach the stage at which they have become a practical reality. The Department of Cancer Imaging at the British Columbia Cancer Agency has developed such a device over the past few years. This study reports the preliminary results of a trial to determine the reliability of the device for the screening and quantitative assessment of cervical cells. A training set of over 1000 cervical slides was used to train the image cytometer. A test set of 1030 slides was screened by the image cytometer and in the Cytology Screening Laboratory. At the 50% sample split the sensitivity of the image cytometer was 95% for severe dysplasia and 90% for moderate dysplasia, compared with a sensitivity of 90% for both of these lesions using conventional screening. A combination of nuclear texture features was found which can be used for the quantitative assessment of both abnormal cells and apparently normal intermediate cells.
authors.affiliation: Department of Cytology, B. C. Cancer Agency, Vancouver, Canada.
authors.forename: G
authors.initials: G
authors.lastname: Anderson
authors.forename: C
authors.initials: C
authors.lastname: Macaulay
authors.forename: J
authors.initials: J
authors.lastname: Matisic
authors.forename: D
authors.initials: D
authors.lastname: Garner
authors.forename: B
authors.initials: B
authors.lastname: Palcic
mesh_terms: D016002:Discriminant Analysis; D005260:Female; D016591:Histocytological Preparation Techniques; D006801:Humans; D019044:Image Cytometry / Q000295:instrumentation*; D007091:Image Processing, Computer-Assisted; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012372:ROC Curve; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D002583:Uterine Cervical Neoplasms / Q000473:pathology / Q000517:prevention & control*; D014626:Vaginal Smears