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JPTM > Volume 19(2); 2008 > Article
The Korean Journal of Cytopathology 2008;19(2): 136-143.
doi: https://doi.org/10.3338/kjc.2008.19.2.136
Detecting Malignant Urothelial Cells by Morphometric Analysis of ThinPrep(R) Liquid-based Urine Cytology Specimens.
Bong Kyung Shin, Young Suk Lee, Hoiseon Jeong, Sang Ho Lee, Hyunchul Kim, Aree Kim, Insun Kim, Han Kyeom Kim
1Department of Pathology, Guro Hospital, Korea University Medical College, Seoul, Korea. hankkim@korea.ac.kr
2Korea Lung Tissue Bank (KLTB), Guro Hospital, Korea University Medical College, Seoul, Korea.
ABSTRACT
Urothelial carcinoma accounts for 90% of all the cases of bladder cancer. Although many cases can be easily managed by local excision, urothelial carcinoma rather frequently recurs, tends to progress to muscle invasion, and requires regular follow-ups. Urine cytology is a main approach for the follow-up of bladder tumors. It is noninvasive, but it has low sensitivity of around 50% with using the conventional cytospin preparation. Liquid-based cytology (LBC) has been developed as a replacement for the conventional technique. We compared the cytomorphometric parameters of ThinPrep(R) and cytospin preparation urine cytology to see whether there are definite differences between the two methods and which technique allows malignant cells to be more effectively discriminated from benign cells. The nuclear-to-cytoplasmic ratio value, as measured by digital image analysis, was efficient for differentiating malignant and benign urothelial cells, and this was irrespective of the preparation method and the tumor grade. Neither the ThinPrep(R) nor the conventional preparation cytology was definitely superior for distinguishing malignant cells from benign cells by cytomorphometric analysis of the adequately preserved cells. However, the ThinPrep(R) preparation showed significant advantages when considering the better preservation and cellularity with a clear background.
Key Words: Liquid-based urine cytology; Urothelial carcinoma; Cytomorphometric analysis; Digital image analysis; Nuclear-to-cytoplasmic ratio