1999
DOI: 10.1159/000030397
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Can Sensitivity of Voided Urinary Cytology or Bladder Wash Cytology Be Improved by the Use of Different Urinary Portions?

Abstract: Objective: To improve sensitivity by using different portions of voided urine cytology (VUC) and bladder wash material cytology (BWC). Materials and Methods: 52 patients with biopsy-proven superficial transitional cell carcinoma (TCC) of the bladder were studied. Voided urine specimens were divided into a first stream, mid-stream and terminal stream. Bladder wash material was also divided into a first portion, mid-portion and last portion. All portions were investigated for cytology abnormalities. Results: Sen… Show more

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Cited by 5 publications
(2 citation statements)
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“…(accuracy of no-cancer detection) of VUC is high (>90%), the sensitivity is low (20-80%) (13,14), in particular, for the detection of low-grade cancer (20-25%) (15,16). Methods based on noninvasive analysis of chemical biomarkers show promise but still are either not sufficiently accurate or repeatable to be adopted for widespread use (15) and are not currently recommended for diagnosis.…”
mentioning
confidence: 99%
“…(accuracy of no-cancer detection) of VUC is high (>90%), the sensitivity is low (20-80%) (13,14), in particular, for the detection of low-grade cancer (20-25%) (15,16). Methods based on noninvasive analysis of chemical biomarkers show promise but still are either not sufficiently accurate or repeatable to be adopted for widespread use (15) and are not currently recommended for diagnosis.…”
mentioning
confidence: 99%
“…Those studies disclosed sensitivity and specificity of bladder washing cytology of 76% and 100%, respectively, using histologic diagnosis of urothelial carcinoma as a standard. Other studies making this comparison reported a sensitivity of 45-77%, 4-9 which depended highly on grade 5,9 (grade 1, 7-29%; grade 2, 35-56%; grade 3, 75-82%) and stage 5 (noninvasive, 67%; invasive, 89%). This low sensitivity could be improved, particularly for low grade carcinoma, by neural network-based diagnosis 6 or image analysis.…”
Section: Discussionmentioning
confidence: 88%