Clinical trial · Observational
Retrospective Evaluation of 3 Colonic Adenoma Detection Strategies
A Pilot Study: Retrospective Evaluation of 3 Colonic Adenoma Detection Strategies During a Colonoscopy: Endoscopy Cap Associated With the Artificial Intelligence GI GENIUS ™ System, the Artificial Intelligence GI GENIUS ™ Alone and Colonoscopy Alone
- 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)
Retrospective study, single blind (patient), allowing a posteriori clinical data collection of 90 patients during their passage to the ambulatory endoscopy circuit, to consider 3 groups and thus to deduce a colonic adenoma detection rate for each arm : * Colonoscopy Only Group * Artificial intelligence only group (IA GI GENIUS ™ alone) * Endoscopic Cap and Artificial Intelligence Group (endoscopy cap associated with the GI GENIUS ™ IA System)
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Adenoma Colon | — | UNRESOLVED | — |
| Colonic Adenocarcinoma | Colon Adenocarcinoma | ALIAS | 0.90 |
| Colorectal Cancer | Malignant Colorectal Neoplasm | CURATED_BROADER | 0.80 |
| Colorectal Polyp | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (3)
- label
- Colonoscopy Only Group
- label
- Artificial intelligence GI GENIUS ™ only Group
- label
- Endoscopic Cap and Artificial Intelligence GI GENIUS ™ Group
Primary outcomes (1)
- measure
- Colonic Adenomas Detection Rate according to the use of the Combine Techniques GENIUS software - Cap or Only GENIUS software
- timeFrame
- 4 months
- description
- number of colonoscopies with the discovery of at least 1 colonic adenoma out of the total number of colonoscopies according to the use of colonoscopy alone / artificial intelligence alone / artificial intelligence combined with the endoscopic cap.
Secondary outcomes (6)
- measure
- Adenomas Rate according to their morphology
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 85 Years
Show eligibility criteria text
Inclusion Criteria : * 18 years \< Patient \< 85 years * Need to perform a primary and / or secondary screening colonoscopy for colorectal cancer * Patients candidates for outpatient care Exclusion Criteria : * History of inflammatory digestive tract disease * Failed previous colonoscopy * Known familial polyposis * Biopsy / polypectomy contraindication (coagulation disorder, treatment with CLOPIDOGREL / Anticoagulant)
References
Publications (1)
- DERIVEDCaillo L, Delliot C, Chevallier T, Bourgaux JF, Prost A, Brunaud-Gagniard B, Phoutthasang V, Clerc C, Borderie T, Daniel J, Pouderoux P, Debourdeau A. COLODETECT 1: comparative evaluation of endocuff with computer-aided detection versus computer-aided detection alone versus standard colonoscopy for enhancing adenoma detection rates during screening colonoscopy-a pilot study. Ther Adv Gastroenterol. 2024 Oct 27;17:17562848241290433. doi: 10.1177/17562848241290433. eCollection 2024. PMID 39493261