Skip to content

Artificial Intelligence Aid Systems and Endocuff in Colorectal Adenoma Detection

Computer-assisted Adenoma Detection Coloscopy With Endo-AID Artificial Intelligence System and Endocuff Versus Endocuff Assisted Colonoscopy: a Randomized Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05141773
Acronym
CUFFAID
Enrollment
696
Registered
2021-12-02
Start date
2022-11-01
Completion date
2023-04-30
Last updated
2025-07-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adenoma Detection Rate

Brief summary

The main purpose of the study to evaluate the usefulness of the Endo-AID artificial intelligence system combined with endocuff compared with endocuff in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy. The secondary aims were: * To evaluate the benefit of Endo-AID and endocuff in adenoma detection rate by comparing endoscopists with high and low adenoma detection rate. * To evaluate serrated detection rate, advanced adenoma detection rate, adenoma detection rate according to the size (\<= 5mm, 6-9mm,\> = 10mm) and number of adenomas by colonoscopy. Stratification by location and morphology.

Detailed description

Guidelines have been established regarding artificial intelligence (AI) applied to gastrointestinal endoscopy. Regarding the priority uses for their development, there are applications that improve vision, placing computer-assisted lesion detection (CADe) as one of the most necessary priorities, given the importance of colorectal cancer screening (CRC) and post-polypectomy surveillance. The evaluation of these systems in different clinical practices and patient groups has been recommend. In this regard, studies in the western population are limited and have been carried out by expert endoscopists. It has not been evaluated comparing with other strategies such as add-on devices. In addition, there are no studies with the recent CADe Endo-AID system (Olympus Corp. Tokyo). The main purpose of the study is to evaluate the usefulness of the Endo-AID artificial intelligence system with endocuff in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy compared with standard colonoscopy with endocuff. In addition, the benefit of the CADe system will be assessed according to the endoscopist ADR. A randomized controlled trial will be carried out in consecutive outpatients meeting the inclusion criteria and none of the exclusion criteria. Patients with be randomized to one of the two groups: CADe system with endocuff and standard colonoscopy with endocuff.

Interventions

DEVICEComputed adenoma detection system (CADe) plus endocuff

This is a computed system that helps the endoscopist to increase the detection of colorectal polyps. An add-on device (Endocuff) is also incorporated to the tip of the colonoscope

DEVICEEndocuff

An add-on device (Endocuff) is also incorporated to the tip of the colonoscope

Sponsors

Hospital Universitario de Canarias
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age ≥ 18 years. * Patients referred for outpatient colonoscopy

Exclusion criteria

* Colonic resection * Taking anticoagulants or antiaggregants that contraindicate the performance of therapy * Patients with a recent colonoscopy (\<6 months) of good quality (e.g. cited for endoscopic therapy) * IBD * Patients with incomplete colonoscopy * Patients with inadequate preparation using the Boston Colonic Preparation Scale (BBPS). A cleaning quality of less than 2 points in any of the 3 colonic sections will be considered inadequate. * Patients with polyposis syndromes

Design outcomes

Primary

MeasureTime frameDescription
Adenoma detection rate1 year(number of colonoscopies with adenoma/number of colonoscopies)

Secondary

MeasureTime frameDescription
Serrated detection rate1 year(number of colonoscopies with serrated adenoma/number of colonoscopies)
Advanced adenoma detection rate1 year(number of colonoscopies with advanced adenomas/number of colonoscopies)

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026