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Published on: January 10, 2013
Narrow-band imaging flexible cystoscopy: a new user's experience
Richard T Bryan1, Zaheer H Shah, Stuart I Collins
1Department of Public Health, Epidemiology and Biostatistics, and School of Cancer Sciences, University of Birmingham, Birmingham, United Kingdom. rtbryan@dsl.pipex.com
Journal of Endourology
|July 16, 2010
Summary
New users can effectively detect bladder cancer recurrences using narrow-band imaging (NBI) flexible cystoscopy, matching the success of experienced practitioners. This technique improves bladder cancer detection rates compared to conventional white-light imaging (WLI).
Area of Science:
- Urology
- Oncology
- Medical Imaging
Background:
- Narrow-band imaging (NBI) flexible cystoscopy has shown improved detection rates for bladder cancer recurrences over conventional white-light imaging (WLI).
- Previous studies demonstrated the efficacy of NBI by experienced users.
Purpose of the Study:
- To evaluate if a new user, unfamiliar with NBI flexible cystoscopy, could achieve similar results in detecting bladder cancer recurrences.
- To assess the reproducibility of NBI's improved detection rates by novice practitioners.
Main Methods:
- A new user performed NBI flexible cystoscopy on 23 patients with known urothelial cancer (UC) recurrences.
- NBI was used after initial conventional WLI flexible cystoscopy with the same instrument.
- The protocol mirrored a previous study by experienced users.
Main Results:
- NBI detected 15 additional bladder UCs in 8 of 23 patients (35%) compared to WLI.
- The mean number of additional UCs detected per patient was 0.65.
- Statistical analysis showed no significant difference in NBI's excess detection rate between the new user and experienced users from a prior study (P = 0.74).
Conclusions:
- NBI flexible cystoscopy significantly improves the detection rate of bladder UCs compared to WLI.
- The effectiveness of NBI in detecting bladder cancer recurrences is reproducible by new users.
- NBI is a valuable tool for identifying bladder cancer recurrences, even for clinicians new to the technology.
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