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The purpose of this study is to assess if artificial intelligence aid colonoscopy colonoscopy is superior to conventional colonoscopy for the detection of adenomas during surveillance colonoscopy in patients with Lynch syndrome.
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To compare the performance of white-light colonoscopy (HD-WLE) versus white-light + CAD (CAD) for detection of adenomas (1:1 ratio). The CAD system will include an artificial intelligence-based medical device (GI Genius, Medtronic) trained to process colonoscopy images and superimpose them, in real time, on the endoscopy display as a green box over suspected lesion. An adequate bowel preparation and minimum withdrawal time of 6 min will be required. Colonoscopies will be performed by experienced endoscopists and with high-definition scopes. Lesions will be collected, and histopathology findings used as the reference standard. The primary outcome of this trial will be the mean number of adenomas per colonoscopy (APC).
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404 participants in 2 patient groups, including a placebo group
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Maria Pellise, Phd
Data sourced from clinicaltrials.gov
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