Computer-based diagnostic analysis of cells in the urinary sediment.
Evaluation of images of cells from the urinary sediment by a computer-based microscope has yielded important preliminary results. Computer identification of benign and malignant urothelial cells can now be accomplished with a small margin of error. Furthermore, 2 categories of atypical urothelial cells can be identified. This information has been applied successfully to the study of 12 patients with bladder cancer, including 3 with non-papillary carcinoma in situ. Computer-generated diagnostic profiles based on a relatively modest number of urothelial cells (60 to 150 per patient) proved to be of diagnostic value. It is anticipated that within a few years a practical computerized system of identification of cells in the urinary sediment can be made available for general laboratory use.
D003201:Computers; D003581:Cytodiagnosis / Q000379:methods*; D006801:Humans; D001749:Urinary Bladder Neoplasms / Q000175:diagnosis*; D014556:Urine / Q000166:cytology*