A Novel Clinical Decision Support Tool to Predict Submucosal Invasive Cancer Within Large Non-Pedunculated Colorectal Polyps
Multi-centre Evaluation of a Novel Clinical Decision Support Tool to Predict Submucosal Invasive Cancer Within Large Non-Pedunculated Colorectal Polyps - A Prospective Study
University Hospital, Ghent
886 participants
Oct 1, 2022
OBSERVATIONAL
Conditions
Summary
Colorectal cancer can be effectively prevented by removal of pre-malignant polyps during colonoscopy. Large (\>=20mm) non-pedunculated colorectal polyps (LNPCPs) require careful assessment before treatment. If submucosal invasive cancer (SMI) is present, it determines whether endoscopic treatment can be curative or whether surgery is needed. Current classification systems to detect SMI are complex, require extensive training, and are underused in non-tertiary hospitals. A simple web-based clinical decision support tool was created using well-established parameters (presence of a demarcated area, polyp size, Paris classification, location, and granularity) to identify SMI within LNPCPs. Crucially, the tool uses only standard endoscopic imaging available in most endoscopy units. This prospective multi-centre study evaluates the accuracy of the tool during live endoscopic assessment. Endoscopists of varying experience will assess 10 large colorectal polyps using the tool, then undergo a randomized educational intervention (either a 10-minute instructional video or a 45-minute interactive training session). They will then assess a further 10 polyps using the tool. A third set of 10 assessments at 3 months evaluates durability of learning. Accuracy is compared to expert opinion.
Eligibility
Plain Language Summary
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NCT07705880