Summary
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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Dulewicz, A., Piȩtka, D., Jaszczak, P., Nechay, A., Sawicki, W., Pykało, R., Koźmińska, E., Borkowski, A.: Computer identification of neoplastic urothelial nuclei from the bladder. Analytical and Quantitative Cytology and Histology 23(5), 321–329 (2001)
Boon, M.E., Drijver, J.S.: Routine cytological staining techniques. Theoretical Background and Practice. Macmillan Education Ltd., London (1986)
Dulewicz, A., Piȩtka, D., Jaszczak, P., Nechay, A.: Selective acquisition of images in the process of automatic scanning of microscopic slides. In: Proc. World Congress on Medical Physics and Biomedical Engineering, Chicago, TU–A318–08 (2000)
Dulewicz, A., Piȩtka, D., Jaszczak, P.: A method of image information selection in the process of automatic scanning of microscopic specimens. Journal of Applied Computer Science 11(2) (2003)
Dulewicz, A., Piȩtka, D., Jaszczak, P.: Value of digital analysis in research and diagnosis of urine bladder cancer. Advances in Soft Computing 45: Computer Recognition Systems 2, 45(2) (2007)
Dulewicz, A., Piȩtka, D., Jaszczak, P.: Trial of practical computer analysis of urothelial nuclei for cancer detection. In: Progress in bladder cancer research, pp. 173–190. Nova Biomedical Books, New York (2005)
Kawiak, J., Zabala, M.: Seminarium z cytofizjologii. Wydawnictwo Medyczne Urban & Partner, Wrocław (2006)
Kurzyński, M.: Rozpoznawanie obrazów. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, str.12–45, 58–102, 143–216 (1997)
Lascomb, I., Fauconnet, S., Chabannes, E., Bittard, H.: Angiogenesis and bladder cancer role of vascular endothelial growth factor. Progress in bladder cancer research, Nova Biomedical Books, New York (2005)
Piȩtka, D., Dulewicz, A., Jaszczak, P.: Pathology explorer (PathEx) a computer– aided system for urinary bladder cancer detection. In: XIII Scientific Conference Biocybernetics and Biomedical Engineering, Gdańsk, CD–ROM Proceedings, SessionXII–2 (2003)
Russ, J.C.: The Image Processing handbook. CRC Press, Boca Raton, Ann Arbor, London, Tokyo (1995)
Tadeusiewicz, R., Izworski, A., Majewski, J.: Biometria. Wyd. AGH, Kraków (1993)
Zieliński, K.W., Strzelecki, M.: Computer analysis of biomedical image. Wydawnictwo Naukowe PWN, Warszawa-Łódź (2002)
Zieliński, J., Leńko, J.: Urologia. TomII, Onkologia urologiczna. P.Z.W.L., Warszawa (1993)
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Dulewicz, A., Piȩtka, D., Jaszczak, P. (2008). A Study on Diagnostic Potential of a Computer-Assisted System for Identification of Neoplastic Urothelial Nuclei from the Bladder. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_45
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DOI: https://doi.org/10.1007/978-3-540-68168-7_45
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