Endocuff With or Without AI-assisted Colonoscopy

NCT ID: NCT05133544

Last Updated: 2023-04-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

656 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-05-01

Study Completion Date

2024-02-29

Brief Summary

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Colonoscopy is considered the gold standard for diagnosis of colonic polyps. However, it was reported that colonoscopy could still miss colonic polyps. Many attempts have been made to improve the detection rate of colonoscopy. Artificial intelligence (AI) is a promising new technique to improve detection rate of colonic adenoma. However, it remains uncertain whether whether the combined use of Endocuff and AI assisted examination could help to further improve the adenoma detection rate. This is a prospective randomized trial comparing the use of endocuff with AI, AI alone or conventional colonoscopy examination on adenoma detection rate.

Detailed Description

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TThis is a prospective randomized tandem colonoscopy trial comparing three different modes of colonoscopy techniques. The first group will use Endocuff (Olympus, Hong Kong) and AI assisted colonoscopy. The second group will use AI assisted colonoscopy alone and the third group will use standard high-definition white light colonoscopy.

Eligible patients will be randomly allocated in a 1:1:1 ratio to three groups. Patients will be stratified according to indications of colonoscopy (symptomatic vs screening/surveillance).

All examination will be performed with high-definition endoscopes (EVIS-EXERA 290 video system, Olympus Optical, Tokyo, Japan) under white light by experienced endoscopists. All endoscopists should have received training on the interpretation of real-time AI detection system as well as the Endocuff before performing study colonoscopy.

In all colonoscopy examination, colonoscope will be first advanced to the cecum as confirmed by identification of the appendiceal orifice and ileocecal valve or by intubation of the ileum. After cecal intubation is performed, the colonoscopy is first withdrawn according to the group assigned. For group 1, the first withdrawal would be done with Endocuff and AI assistance. For group 2, the first withdrawal would be done under AI assistance only. For group 3, the first withdrawal would be done under standard high definition colonoscopy only.

All detected polyps will be removed during the withdrawal only. The size (measured with biopsy forceps), location and morphology of each polyp will be recorded by an independent observer. The withdrawal time (minus the polypectomy site) will be measured by a stopwatch and with a minimum of 6 minutes. The bowel preparation quality will be graded according to the Boston Bowel Preparation Scale

Conditions

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Colonic Adenoma Colonic Polyp Colonic Cancer

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

SINGLE

Participants

Study Groups

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Endocuff- AI assisted colonoscopy

Endocuff (Olympus, Hong Kong) and AI assisted colonoscopy will be used

Group Type ACTIVE_COMPARATOR

Endocuff with AI

Intervention Type DEVICE

Use of endocuff with computer assisted polyp detection

AI-assisted colonoscopy

AI assisted colonoscopy will be used

Group Type ACTIVE_COMPARATOR

AI alone

Intervention Type DEVICE

Use of computer assisted polyp detection

Conventional colonoscopy

Conventional colonoscopy will be used without AI or Endocuff.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Endocuff with AI

Use of endocuff with computer assisted polyp detection

Intervention Type DEVICE

AI alone

Use of computer assisted polyp detection

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* All adult patients, aged 40 or above, undergoing outpatient colonoscopy in the Queen Mary Hospital, Tung Wah Hospital and Tuen Mun Hospital in Hong Kong will be recruited.

Exclusion Criteria

* Patients will be excluded if they have history of inflammatory bowel disease, colorectal cancer, previous bowel resection, Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes, bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe. Moreover, after randomization, if the cecum could not be intubated for various reasons or Boston Bowel Preparation Scale (BBPS) score is \<2, these patients will be excluded
Minimum Eligible Age

40 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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The University of Hong Kong

OTHER

Sponsor Role lead

Responsible Party

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Dr. Lui Ka-Luen

Clinical Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Wai Keung Leung, MD

Role: STUDY_DIRECTOR

The University of Hong Kong

Locations

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Queen Mary Hospital

Hong Kong, , Hong Kong

Site Status RECRUITING

Countries

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Hong Kong

Central Contacts

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Ka Luen, Thomas Lui, MBBS

Role: CONTACT

Facility Contacts

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Thomas K Lui, MBBS

Role: primary

References

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Lui TK, Lam CP, To EW, Ko MK, Tsui VWM, Liu KS, Hui CK, Cheung MK, Mak LL, Hui RW, Wong SY, Seto WK, Leung WK. Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial. Am J Gastroenterol. 2024 Jul 1;119(7):1318-1325. doi: 10.14309/ajg.0000000000002684. Epub 2024 Feb 2.

Reference Type DERIVED
PMID: 38305278 (View on PubMed)

Other Identifiers

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UW 20-647

Identifier Type: -

Identifier Source: org_study_id

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