INTELAID: Artificial Intelligence Aid Systems in Colorectal Adenoma Detection

Sponsor
Hospital Universitario de Canarias (Other)
Overall Status
Recruiting
CT.gov ID
NCT04945044
Collaborator
(none)
330
1
2
2.5
130.4

Study Details

Study Description

Brief Summary

The main purpose of the study to evaluate the usefulness of the Endo-AID artificial intelligence system in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy.

The secondary aims were:
  • To evaluate the benefit of Endo-AID 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.

Condition or Disease Intervention/Treatment Phase
  • Device: Computed adenoma detection system (CADe)
  • Behavioral: Control group (regular colonoscopy)
N/A

Detailed Description

Priority guidelines have been established regarding IA 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 in endoscopists with different adenoma detection rates. In addition, there are no studies with the recent CADe Endo-AID system (Olympus Corp. Tokyo).

The main purpose of the study to evaluate the usefulness of the Endo-AID artificial intelligence system in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy. 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 four groups: CADe system and high ADR endoscopist; CADe system and low ADR endoscopist; Control and high ADR endoscopist; Control and low ADR endoscopist.

For the sample size calculation a 14.4 of difference in favor of the CADe system was considered. Taking onto account an alpha error of 0.05 in a unilateral contrast, a power of 80% and a loss of 10%, 165 patients per group would be required.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
330 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
Usefulness of the Endo-AID Artificial Intelligence System in the Detection of Colorectal Adenomas. a Randomized Controlled Trial
Actual Study Start Date :
Nov 15, 2021
Anticipated Primary Completion Date :
Jan 31, 2022
Anticipated Study Completion Date :
Jan 31, 2022

Arms and Interventions

Arm Intervention/Treatment
Experimental: Computed adenoma detection system (CADe)

Tis system can detect in the screen suspicion areas of adenomatous polyps. This is an additional help for the endoscopist for the detection of lesions

Device: Computed adenoma detection system (CADe)
This is a computed system that helps the endoscopist to increase the detection of colorectal polyps

Active Comparator: Control group (absence of CADe)

This is the control group. As in the routine colonoscopy the endoscopist is in charge of the detection of the lesions.

Behavioral: Control group (regular colonoscopy)
It is exclusively the endoscopist in charge of the detection of the polyps (usual practice)

Outcome Measures

Primary Outcome Measures

  1. Adenoma detection rate [[Time frame: 1 years][Designated as safety issue: No]]

    Number of colonoscopies with colorectal adenoma/Number of total colonoscopies

Secondary Outcome Measures

  1. Serrated detection rate [[Time Frame: 1 years][Designated as safety issue: No]]

    Number of colonoscopies with serrated adenoma/Number of total colonoscopies

  2. Advanced adenoma detection rate [[Time Frame: 1 years][Designated as safety issue: No]]

    Number of colonoscopies with advanced adenoma/Number of total colonoscopies

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Age ≥ 18 years.

  • Patients referred for outpatient colonoscopy

Exclusion Criteria:
  • Colonic resection

  • Taking anticoagulants or antiagregants that contraindicate the performance of therapy

  • Patients with a recent colonoscopy (<6 months) of good quality (e.g. cited for endoscopic therapy)

  • Inflammatory bowel disease

  • 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

  • Refusal to participate in the study.

Contacts and Locations

Locations

Site City State Country Postal Code
1 Department of Gastroenterology La Laguna S/C De Tenerife Spain 38320

Sponsors and Collaborators

  • Hospital Universitario de Canarias

Investigators

  • Principal Investigator: Antonio Gimeno Garcia, MD, PhD, Hospital Universitario de Canarias

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
Hospital Universitario de Canarias
ClinicalTrials.gov Identifier:
NCT04945044
Other Study ID Numbers:
  • Computer aid adenoma detection
First Posted:
Jun 30, 2021
Last Update Posted:
Nov 22, 2021
Last Verified:
Nov 1, 2021
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Nov 22, 2021