Colorectal CancerCOLODETECT2NCT05594576
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
A study testing GI GENIUS™ artificial intelligence system and ENDOCUFF VISION® endoscopic cap in people with Colorectal Cancer and Adenoma, run by Centre Hospitalier Universitaire de Nīmes at 2 sites in France.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 85 years
- Conditions the study is for
- Colorectal Cancer, Adenoma, Intestinal Polyps
- What is being tested?
- GI GENIUS™ artificial intelligence system and ENDOCUFF VISION® endoscopic cap
- Type of treatment
- Surgery or procedure
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 481 participants
- Where
- 2 sitesFrance
- Study dates
- 18 Oct 2022to 11 Oct 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 85 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- The subject is participating in a category 1 interventional study, or is in a period of exclusion determined by a previous study
- 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).
Trial locations and contacts
2 sites in 1 country.
About this study
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.
Read more
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
- Being tested
- GI GENIUS™ artificial intelligence system, ENDOCUFF VISION® endoscopic cap
- Keywords
- colonoscopy
- Medical subject headings
- Colorectal Neoplasms, Adenoma, Intestinal Polyps
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
GI GENIUS™ artificial intelligence systemProcedure or surgery
Device used during coloscopy for detection of colonic adenoma
ENDOCUFF VISION® endoscopic capProcedure or surgery
Device used during coloscopy for detection of colonic adenoma
| Study group | Role | What they receive |
|---|---|---|
| ENDOCUFF VISION® Endoscopic Cap coupled with GI GENIUS™ Artificial Intelligence (AI) | Experimental | Not described Receives: Procedure: GI GENIUS™ artificial intelligence system; Procedure: ENDOCUFF VISION® endoscopic cap |
| GI GENIUS™ Artificial Intelligence (AI) alone | Active comparator | Not described |
| ENDOCUFF VISION® endoscopic cap alone | Active comparator | Not described Receives: Procedure: ENDOCUFF VISION® endoscopic cap |
What is being measured
The primary outcome is the main question the study is designed to answer.
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
Measured: Day 0
Secondary outcomes (9)
Operator effect on CADR, between the three groups, per operator
CADR (%), defined as the number of colonoscopies with detection of at least one colonic adenoma out of the total number of colonoscopies performed for each strategy per operator
Measured: Day 0
CADR according to adenoma size, for each strategy
CADR (%), detected by colonoscopy according to their size in mm (especially those smaller than 3 mm)
Measured: Day 0
CADR according to adenoma histology for each strategy.
CADR (%), detected by colonoscopy according to histology (low/high grade dysplasia)
Measured: Day 0
CADR according to adenoma morphology for each strategy.
CADR (%), detected by colonoscopy according to (Paris morphological classification: Ip, Is, IIa, IIb, IIc, III)
Measured: Day 0
Shrinkage time for the Genius groups.
Measurement of withdrawal time (min, sec) for GI GENIUS™-Cap software or GI GENIUS™ software alone strategies (time from cecum to colonoscope removal).
Measured: Day 0
Rate of cecal intubation between groups
% of exams in which the entire colon was examined.
Measured: Day 0
Progression time between groups
Mean progression time (time from introduction of colonoscope to cecum; min, sec
Measured: Day 0
Operative time between groups
Mean time from introduction of colonoscope to removal of endoscope from patient; min, sec
Measured: Day 0
The number of immediate intra- and postoperative adverse events (bleeding, perforation) according to the different strategies
Collection of immediate intra- and postoperative adverse events (bleeding, perforation) for the three study strategies
Measured: Day 0
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Oct 2022
- Study start18 Oct 2022
- Primary completion11 Oct 2024
- Study completion11 Oct 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Colorectal CancerStudies of the same condition, open and under way.
- More trials run by Centre Hospitalier Universitaire de NīmesThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 481 participants (actual)
Sponsor and investigators
- Lead sponsor
- Centre Hospitalier Universitaire de Nīmes
- Sponsor type
- University, hospital or other
- Collaborators
- University Hospital, Limoges
- Responsible party
- Sponsor
- Investigators
- Ludovic Caillo, Principal investigator, CHU de Nimes
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05594576
- Sponsor's protocol ID
- NIMAO/2021-2/LC-01
- Acronym
- COLODETECT2
- Status last verified
- Dec 2025
- First submitted
- 21 Oct 2022
- Last updated
- 5 Dec 2025
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 5 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT05594576
- Acronym / sponsor ID
- COLODETECT2 / NIMAO/2021-2/LC-01
- Conditions
- Colorectal Cancer, Adenoma, Intestinal Polyps
- Keywords
- colonoscopy
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 481 participants (actual)
- Lead sponsor
- Centre Hospitalier Universitaire de NīmesUniversity, hospital or other
- Collaborators
- University Hospital, Limoges
- Study start
- 18 Oct 2022 (actual)
- Primary completion
- 11 Oct 2024 (actual)
- Study completion
- 11 Oct 2024 (actual)
- First posted
- 26 Oct 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| 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 |
Who may qualify
- Ages
- 18 to 85 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- Need to perform colorectal cancer screening colonoscopy:
- 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.
Key exclusion criteria (8 listed)
- The subject is participating in a category 1 interventional study, or is in a period of exclusion determined by a previous study
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| GI GENIUS™ artificial intelligence systemDevice used during coloscopy for detection of colonic adenoma | Procedure or surgery | ENDOCUFF VISION® Endoscopic Cap coupled with GI GENIUS™ Artificial Intelligence (AI) |
| ENDOCUFF VISION® endoscopic capDevice used during coloscopy for detection of colonic adenoma | Procedure or surgery | ENDOCUFF VISION® Endoscopic Cap coupled with GI GENIUS™ Artificial Intelligence (AI), ENDOCUFF VISION® endoscopic cap alone |
Primary outcome
Compare colonic adenoma detection rates (CADR) during colonoscopy between the three groups
Time frame: Day 0
%; defined as the number of colonoscopies with detection of at least one colonic adenoma out of the total number of colonoscopies performed
9 secondary outcomes
Operator effect on CADR, between the three groups, per operator
Time frame: Day 0
CADR according to adenoma size, for each strategy
Time frame: Day 0
CADR according to adenoma histology for each strategy.
Time frame: Day 0
CADR according to adenoma morphology for each strategy.
Time frame: Day 0
Shrinkage time for the Genius groups.
Time frame: Day 0
Rate of cecal intubation between groups
Time frame: Day 0
Progression time between groups
Time frame: Day 0
Operative time between groups
Time frame: Day 0
The number of immediate intra- and postoperative adverse events (bleeding, perforation) according to the different strategies
Time frame: Day 0
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Dec 2025.
Related trials for Colorectal Cancer
RecruitingPhase 1/2
A Phase 1 and 2 Study of VMD-102 in Hepatocellular Carcinoma and Other Solid Tumors
Hepatocellular Carcinoma (HCC), Metastatic Uveal Melanoma
Recruiting
Family Communications After Genetic Testing
Colon Adenocarcinoma, Colorectal Adenocarcinoma
Not yet recruitingPhase 1
Hepatic Artery Infusion of Carfilzomib in Participants With Liver Metastatic Disease Previously Treated With Hepatic Artery Infusion Pump Therapy
Colorectal Neoplasms, Neoplasms
RecruitingPhase 3
Study of Petosemtamab Plus Chemotherapy Versus Cetuximab Plus Chemotherapy in RAS and BRAF Wild-type, Unresectable or Metastatic, Left-sided Colorectal Cancer (LiGeR-CRC1)
Left-sided Colorectal Cancer
RecruitingPhase 1/2
A First-in-human Study of RLY-8161 in Advanced NRAS-Mutant Solid Tumors
Advanced NRAS-Mutant Melanoma, Advanced NRAS-Mutant Solid Tumors
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ludovic Caillo principal investigator
CHU de Nimes
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing GI GENIUS™ artificial intelligence system and ENDOCUFF VISION® endoscopic cap in people with Colorectal Cancer and Adenoma, run by Centre Hospitalier Universitaire de Nīmes at 2 sites in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 5 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Compare colonic adenoma detection rates (CADR) during colonoscopy between the three groups (time frame: Day 0). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Dec 2025.