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Study identifier: NCT07705880 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

A Novel Clinical Decision Support Tool to Predict Submucosal Invasive Cancer Within Large Non-Pedunculated Colorectal Polyps

Condition: Colorectal Neoplasms · Colonic Polyps  ·  Sponsor: University Hospital, Ghent

PhaseN/A
Planned participants886
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

David Tate  ·  +3293321063  ·  studiestissue.resectie@uzgent.be

Always discuss trial participation with your own doctor first.

Locations (1)

UZ GentGhent, BelgiumRecruiting

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Source record: clinicaltrials.gov/study/NCT07705880