Clinical trial · Interventional
Computer-aided Detection During Screening Colonoscopy (Experts)
Real-time Computer-aided Polyp Detection During Screening Colonoscopy Performed by Expert Endoscopists
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Evaluation of the colonic mucosa with a high definition colonoscope (EPKi7010 video processor). The endoscopy images will be seen on a 27inch, flat-panel, high-definition LCD monitor (Radiance™ ultraSC-WU27-G1520 model) only by one expert endoscopist, randomly assigned. The number, location, and polyps' features (Paris classification) will be recorded by the operator. If a polyp is detected, the endoscopist will remove the polyp endoscopically with a cold snare. The same patient will be submitted to a second, the same session, computed aided real-time colonoscopy using the DISCOVERY, AI-assisted polyp detector. Colonoscopy will be performed by a same-level-of-expertise operator in comparison to the initial procedure. Any polyp or lesion detected with the AI system will be recorded and endoscopically removed and considered as a missed lesion from standard colonoscopy.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Colon Adenoma | Colon Adenoma | ONTOLOGY_EXACT | 0.98 |
| Colon Polyp | — | UNRESOLVED | — |
| Colorectal Neoplasms | Colorectal Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Colonoscopy with real-time AI assisted automated polyp detection | Diagnostic Test | — | UNRESOLVED |
| Standard high-definition colonoscopy | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Patients for CRC screening and diagnostic colonoscopy
- description
- Consecutive patients \>45 years of age submitted for diagnostic colonoscopy
- interventionNames
- Diagnostic Test: Standard high-definition colonoscopy
- Diagnostic Test: Colonoscopy with real-time AI assisted automated polyp detection
Primary outcomes (2)
- measure
- Adenoma detection rate of computer-aided after standard colonoscopy.
- timeFrame
- 30 days
- description
- Number of examinations with at least one adenoma detected during colonoscopy while using the AI-based model
- measure
- Polyp detection rate of computer-aided following standard colonoscopy.
- timeFrame
- 30 days
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 45 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: * Provided informed written consent * Age greater than 45 years of age * Adequate Bowel preparation Exclusion Criteria: * History of inflammatory bowel disease, familial polyposis syndrome * History of colorectal carcinoma, colorectal surgery * History of uncontrolled coagulopathy * History of previously failed attempt colonoscopy
References
Publications (2)
- BACKGROUNDWang P, Berzin TM, Glissen Brown JR, Bharadwaj S, Becq A, Xiao X, Liu P, Li L, Song Y, Zhang D, Li Y, Xu G, Tu M, Liu X. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 2019 Oct;68(10):1813-1819. doi: 10.1136/gutjnl-2018-317500. Epub 2019 Feb 27. PMID 30814121
- BACKGROUNDVinsard DG, Mori Y, Misawa M, Kudo SE, Rastogi A, Bagci U, Rex DK, Wallace MB. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointest Endosc. 2019 Jul;90(1):55-63. doi: 10.1016/j.gie.2019.03.019. Epub 2019 Mar 26. PMID 30926431