A Study on Diagnostic Potential of a Computer-Assisted System for Identification of Neoplastic Urothelial Nuclei from the Bladder
The aim of the study was to test diagnostic potential of a computer-assisted system for identification of neoplastic urothelial nuclei. Presence of neoplastic urothelial nuclei in organic fluid points to neoplastic changes. The system analyzed Feulgen stained cell nuclei obtained with bladder washing technique. Image analysis was carried out by means of a digital image processing system designed by the authors. Features describing nuclei population were measured, then a multistage classifier was constructed to identify positive and negative cases. The principle of the worked out urothelial nuclei analysis on the basis of nuclei size distribution and the basic idea of the case classification were presented. The results obtained in a study of 38 new cases were compared with those obtained with earlier studies. All together 170 cases were analyzed. The results of this new study together with earlier investigated cases yielded ~60% correct classification rate in the control group, while a 86% was obtained among the cancer patients. The predictive value of the positive result of the test based on this method showed to be ~82% and the predictive value of the negative result occurred to be ~75%.
The results shown that this system may be sufficiently well developed to be used successfully in clinical practice.
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