Comparison of the ENDOCUFF VISION® Endoscopy Cap Coupled With GI GENIUS™ Artificial Intelligence Compared to Each Device Alone in Improving Colonic Adenoma Detection Rate During Colonoscopy

NCT05594576 | Completed

• 1 other identifier: NIMAO/2021-2/LC-01
• Study Type: interventional
• Target: 481
• Locations: 1 country
• Sites: 2

Brief Summary

Colorectal cancer is the 2nd most common cause of death by cancer. Screening is therefore essential, with a positive impact for prevention, and in the visualization and removal of colonic adenomas, pre-cancerous lesions of colorectal cancer. The colonic adenoma detection rate (CADR), the gold standard for colonoscopy screening and screening studies, is the ratio of the number of colonoscopies with at least one histologically verified colonic adenoma to the total number of colonoscopies performed in a center. It varies between 25 and 45% depending on the center. There is a large inter-operator CADR variability, which has been linked to an increased incidence and excess mortality in colorectal cancers. To improve this detection rate, several innovative techniques have been developed: The endoscopic cap helps improve this detection rate: it is a 2cm tip with double row of plastic wings, fixed to the distal end of the colonoscope, which acts by unfolding the colonic haustrations allowing a better visualization of adenomas, and more particularly those of sessile morphology and sigmoidal location. Several multicenter studies have shown an improvement in the adenoma detection rate with this device compared to screening colonoscopy alone, with an adenoma detection rate optimization of 14%. Since then other devices, such as the Endocuff, have emerged with comparable efficacy. The Medtronic© GI GENIUS system integrates artificial intelligence (AI) to assist in the detection of polyps. It automatically identifies these precancerous lesions in real time. The study investigators previously performed a retrospective pilot study (COLODETECT), comparing colonoscopy alone as a control group, against AI alone and against the combined cap + AI. This study showed encouraging results in terms of colonic adenoma detection rate (60% for the AI + cap group versus 37% for the AI alone group versus 33% for the colonoscopy alone group, p=0.037) However, it requires a higher level of evidence to be validated in practice. This prospective COLODETECT2 study estimated an a priori expected difference between A.I. - Cap and A.I. alone of about 15% CADR. The GI GENIUS artificial intelligence system and the ENDOCUFF VISION endoscopic cap have separately proven their effectiveness in terms of colonic adenoma detection compared to colonoscopy alone. However, some limitations remain: existence of false positives (mucosal folds, residues), some morphological types still difficult to recognize (scalloped adenomas), non visualized colonic lesions. This study therefore focuses on the possible complementarity of these 2 medical devices, in order to maximize the detection rate of colonic adenomas, and thus overcome the limitations of these two techniques by optimizing the visualization of these precancerous lesions, and consequently increasing the impact of colorectal cancer screening. The study authors hypothesize that the combination of GI GENIUS™ AI coupled with the ENDOCUFF VISION® endoscopy cap provides a better colonic adenoma detection rate (CAD) during colonoscopy than either GI GENIUS™ AI alone or the ENDOCUFF VISION® cap alone.

Conditions

Colorectal Cancer; Adenoma; Intestinal Polyps

Keywords

colonoscopy

Outcome Measures

Primary Outcomes (1)

• Compare colonic adenoma detection rates (CADR) during colonoscopy between the three groups

  %; defined as the number of colonoscopies with detection of at least one colonic adenoma out of the total number of colonoscopies performed

  Day 0

Secondary Outcomes (9)

• Operator effect on CADR, between the three groups, per operator

  Day 0

• CADR according to adenoma size, for each strategy

  Day 0

• CADR according to adenoma histology for each strategy.

  Day 0

• CADR according to adenoma morphology for each strategy.

  Day 0

• Shrinkage time for the Genius groups.

  Day 0

Study Arms (3)

ENDOCUFF VISION® Endoscopic Cap coupled with GI GENIUS™ Artificial Intelligence (AI)

EXPERIMENTAL

Procedure: GI GENIUS™ artificial intelligence system; Procedure: ENDOCUFF VISION® endoscopic cap

GI GENIUS™ Artificial Intelligence (AI) alone

ACTIVE COMPARATOR

ENDOCUFF VISION® endoscopic cap alone

ACTIVE COMPARATOR

Procedure: ENDOCUFF VISION® endoscopic cap

Interventions

GI GENIUS™ artificial intelligence system PROCEDURE

Device used during coloscopy for detection of colonic adenoma

ENDOCUFF VISION® Endoscopic Cap coupled with GI GENIUS™ Artificial Intelligence (AI)

ENDOCUFF VISION® endoscopic cap PROCEDURE

Device used during coloscopy for detection of colonic adenoma

ENDOCUFF VISION® Endoscopic Cap coupled with GI GENIUS™ Artificial Intelligence (AI); ENDOCUFF VISION® endoscopic cap alone

Eligibility Criteria

• Age: 18 Years - 85 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Need to perform colorectal cancer screening colonoscopy:
• Primary Screening: Fecal Immunological Test positive;
• Secondary screening: personal or family history of polyps, personal or family history of colorectal cancer, rectorrhagia-like symptomatology.
• Patient candidate for outpatient management.
• Patient who has given free and informed consent.
• Patient who has signed the consent form.
• Patient affiliated or beneficiary of a health insurance plan.

You may not qualify if:

• The subject refuses to sign the consent
• It is impossible to give the subject informed information
• The patient is under safeguard of justice or state guardianship
• History of inflammatory bowel disease, Crohn's disease.
• Failure of a previous colonoscopy.
• Known familial polyposis.
• Contraindication to polypectomy (coagulation disorder, treatment with CLOPIDOGREL / anticoagulant).

Sponsors & Collaborators

• Centre Hospitalier Universitaire de Nīmes: lead
• University Hospital, Limoges: collaborator

Study Sites (2)

CHU de Limoges

Limoges, 87000, France

Location

CHU de Nîmes

Nîmes, France

Location

MeSH Terms

Conditions

Colorectal Neoplasms; Adenoma; Intestinal Polyps

Condition Hierarchy (Ancestors)

Intestinal Neoplasms; Gastrointestinal Neoplasms; Digestive System Neoplasms; Neoplasms by Site; Neoplasms; Digestive System Diseases; Gastrointestinal Diseases; Colonic Diseases; Intestinal Diseases; Rectal Diseases; Neoplasms, Glandular and Epithelial; Neoplasms by Histologic Type; Polyps; Pathological Conditions, Anatomical; Pathological Conditions, Signs and Symptoms

Study Officials

• Ludovic Caillo

  CHU de Nimes

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: DIAGNOSTIC
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 21, 2022
• First Posted: October 26, 2022
• Study Start: October 18, 2022
• Primary Completion: October 11, 2024
• Study Completion: October 11, 2024
• Last Updated: December 5, 2025

Record last verified: 2025-12

Locations

FR (2)