A trial of a new approach to computer analysis of urothelial nuclei for cancer detection

• Autorzy: Dulewicz A. , Piętka D. , Jaszczak P.
• Języki publikacji: EN

Abstrakty

EN

The objective of this work is a new approach to computer-based analysis of Feulgen-stained urinary bladder cell nuclei to identify neoplastic nuclei. 56 patients were taken under consideration. Among them 20 cases were controls and 36 cases were cancer of two grades of malignancy. The cytological smears were obtained by "bladder washing" technique. Image analysis was carried out by means of digital image processing system designed by the authors. At the first step of the process slides were automatically scanned and 80 images were registered. Then image processing began performing image normalization, objects (nuclei) extraction and measuring of features describing nuclei. A multistage classifier was constructed to identify positive and negative cases. The results of this study yielded a 90% correct classification rate in the control group, while an 80,5% rate was obtained among the cancer patients. The sensitivity of the method was 91% and the specificity was 84%.

Słowa kluczowe

EN

urinary bladder; carcinoma; computer image analysis; image processing

PL

pęcherz moczowy; rak; komputerowa analiza obrazu; przetwarzanie obrazów

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2003
• Tom: Vol. 9, no 3-4
• Strony: 11--18
• Opis fizyczny: Bibliogr. 5 poz., il., rys., wykr.

Twórcy

autor

Dulewicz A.

• Image Processing Systems Laboratory Department of Biomedical Information Processing Methods Institute of Biocybernetics and Biomedical Engineering PAS 4, Ks.Trojdena str., 02-109 Warsaw, Poland

autor

Piętka D.

• Image Processing Systems Laboratory Department of Biomedical Information Processing Methods Institute of Biocybernetics and Biomedical Engineering PAS 4, Ks.Trojdena str., 02-109 Warsaw, Poland

autor

Jaszczak P.

• Image Processing Systems Laboratory Department of Biomedical Information Processing Methods Institute of Biocybernetics and Biomedical Engineering PAS 4, Ks.Trojdena str., 02-109 Warsaw, Poland

Bibliografia

• [1] M.E. Boon, J.S. Drijver,Routine cytological staining techniques. Theoretical Background and Practice, Macmillan Education Ltd., London, 1986.
• [2] A. Dulewicz, D. Piętka, P. Jaszczak, A. Nechay, W. Sawicki, R. Pykao, E. Koźmińska, A. Borkowski, Computer identification of neoplastic urothelial nuclei from the bladder, Analytical and Quantitative Cytology and Histology, vo1.23, (5),321-329, October 2001.
• [3] A. Dulewicz, D. Piętka, P. Jaszczak, A. Nechay, Selective acquisition of images in the process of automatic scanning of microscopic slides, Proc. World Congress on Medical Physics and Biomedical Engineering, Chicago,TU-A318-08, 2000.
• [4] J.C. Russ, The Image Processing handbook, CRC Press, Baca Raton, Ann Arbar, London, Tokyo, 1995.
• [5] K.W. Zieliński, M. Strzelecki, Computer analysis oj biomedical image, Wydawnictwo Naukowe PWN, Warszawa - Łódź, 2002.