Urinary Bladder Neoplasms Clinical Trial
Official title:
Cystoscopic Imaging Collection and Enhancement pROject: A Prospective, Non-randomised, Observational Proof-of-concept Study of Flexible Cystoscopic Examination Recordings From a Symptomatic Adult Population
This study will collect video recordings of routine flexible cystoscopy examinations, medical history and diagnosis information, from up to 100 participants who have a history of bladder cancer, or symptoms suggestive of bladder cancer, in order to develop a new computer system for recording and reviewing images of the bladder, and to assess the utility of this system.
Flexible cystoscopy is commonly used in the diagnosis and post-treatment care of bladder
cancer, the 7th most common cancer in the United Kingdom. While the equipment to record
bladder examinations exists, it is not simple or quick to use so examinations are rarely
recorded. Methods of enhancing the images obtained during these examinations also exist but
these are generally hardware based, requiring specific equipment, or use a fluorescent dye
and special endoscope, which is expensive for the clinical service provider, inconvenient
for the patient and may cause allergic reactions.
The new proof-of-concept device will record high-definition video in a lossless format to a
computer hard-drive from any existing cystoscopy equipment to which it can be connected.
Additionally, the device incorporates a foot pedal which allows the operator to "bookmark"
points of interest during the examination. These points are marked in the recorded video
data file and aid later navigation and review of examination session videos.
The recordings will be used to develop novel image enhancement software, which is intended
to make abnormalities in the bladder easier to identify. Once the software has been
developed, the enhanced and un-enhanced videos will be reviewed by experts (clinical urology
specialists) and non-experts (other healthcare staff and laypeople), who will be asked to
report areas of interest in the videos, without knowledge of the diagnosis for each
examination. A statistical analysis of reporting of areas of interest by expert and
non-expert reviewers will be produced, to assess the usefulness of the software image
enhancement in identifying abnormalities in the bladder.
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Observational Model: Cohort, Time Perspective: Prospective
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