Clinical trial · Interventional
Development of a Computer-aided Polypectomy Decision Support
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Why stopped (as posted): The study was abandoned due to the Covid pandemic which prevented recruitment.
Summary
Brief summary (as posted)
Quality components of colonoscopy include the detection and complete removal of colorectal polyps, which are precursors to CRC. However, endoscopic ablation may be incomplete, posing a risk for the development of "interval cancers". The investigators propose to develop a solution based on artificial intelligence (AI) (CADp computer-aided decision support polypectomy) to solve this problem.This research project aims to develop CADp, a computer decision support solution (CDS) for the ablation of colorectal polyps from 1 to 20 mm.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Adenomatous Polyps | Adenomatous Polyp | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Computer-aided polypectomy decision support by Artificial Intelligence | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Artificial intelligence for real-time Computer decision support of resection of colorectal polyps
- description
- A standard colonoscopy will be performed according to the standard of routine care. All optically diagnosed polyps will be removed and sent to the CHUM pathology laboratory for histopathological evaluation according to institutional standards. The AI system will capture video of the procedure in real time, and provide additional information about polypectomy procedures.
- interventionNames
- Diagnostic Test: Computer-aided polypectomy decision support by Artificial Intelligence
Primary outcomes (4)
- measure
- Accuracy of the CADp system
- timeFrame
- 3 weeks
- description
- accuracy with which the CADp system predicts completeness of polypectomy in the test set with the reference standard for completeness being determined by the histology of post-polypectomy margin biopsies; if free from any polyp tissue (adenomatous, serrated or hyperplastic), the resection will be considered complete. If remnant polyp tissue is detected in any one or more of the margin biopsies the resection is deemed incomplete
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 45 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: * Signed informed consent * Age 45-80 years * Indication to undergo a lower GI endoscopy. Exclusion Criteria: * Known inflammatory bowel disease * Active colitis * Coagulopathy * Familial polyposis syndrome; * Poor general health, defined as an American Society of Anesthesiologists (ASA) physical status class \>3 * Emergency colonoscopies
References
Publications (0)
Data not yet available