A Study Comparing Standard and AI-Assisted Colonoscopies for Detecting and Characterizing Colorectal Lesions in Adults Aged 50-74 Undergoing Cancer Screening

NCT ID: NCT07125300

Last Updated: 2025-08-15

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

COMPLETED

Clinical Phase

NA

Total Enrollment

368 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-10-01

Study Completion Date

2025-02-28

Brief Summary

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The goal of this clinical trial is to determine whether using artificial intelligence (AI) can improve the detection and characterization of abnormal growths (polyps) during colonoscopy in adults aged 50 to 74 years who are undergoing colorectal cancer screening after a positive stool test.

The main questions it aims to answer are:

* Does AI assistance increase the detection of adenomas or advanced colorectal neoplasia?
* Does AI provide more accurate optical diagnosis of polyps compared to standard assessment by endoscopists?

Researchers will compare colonoscopies performed with AI assistance (using the CAD EYE™ system) to standard colonoscopies without AI to see if AI improves detection rates or diagnostic accuracy.

Participants will:

* Undergo a screening colonoscopy after a positive fecal immunochemical test (FIT)
* Be randomly assigned to either an AI-assisted or standard colonoscopy group
* Have any detected polyps removed and analyzed
* Receive either AI-based or physician-based optical diagnosis of polyps during the procedure

This study helps evaluate whether AI can make colonoscopies more effective and reduce unnecessary polyp removals.

Detailed Description

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Conditions

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Colorectal Neoplasms Colorectal Cancer Adenoma Colon Polyp

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

TRIPLE

Participants Investigators Outcome Assessors

Study Groups

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Conventional colonoscopy without AI assistance

Group Type NO_INTERVENTION

No interventions assigned to this group

AI-assisted colonoscopy

Group Type EXPERIMENTAL

Artificial Intelligence-Assisted Colonoscopy

Intervention Type DIAGNOSTIC_TEST

The intervention involves the use of an artificial intelligence tool during screening colonoscopy. This system includes two integrated functions:

* CADe (Computer-Aided Detection): Highlights suspected lesions in real time on the endoscopic video to assist in identifying polyps.
* CADx (Computer-Aided Diagnosis): Provides real-time optical histology predictions to help distinguish between hyperplastic and adenomatous polyps.

The AI system operates autonomously during the procedure and displays visual cues on the monitor to support the endoscopist in detecting and characterizing colorectal lesions.

Interventions

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Artificial Intelligence-Assisted Colonoscopy

The intervention involves the use of an artificial intelligence tool during screening colonoscopy. This system includes two integrated functions:

* CADe (Computer-Aided Detection): Highlights suspected lesions in real time on the endoscopic video to assist in identifying polyps.
* CADx (Computer-Aided Diagnosis): Provides real-time optical histology predictions to help distinguish between hyperplastic and adenomatous polyps.

The AI system operates autonomously during the procedure and displays visual cues on the monitor to support the endoscopist in detecting and characterizing colorectal lesions.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Adults aged 50 to 74 years
* Positive fecal immunochemical test (FIT) result (≥100 ng/mL)
* Scheduled for screening colonoscopy within a population-based colorectal cancer screening program
* Able and willing to provide written informed consent

Exclusion Criteria

* Incomplete colonoscopy (e.g., failure to reach the cecum)
* Inadequate bowel preparation
* History of colorectal surgery
* Inability to provide informed consent
Minimum Eligible Age

50 Years

Maximum Eligible Age

74 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Javier Santos Fernández

OTHER

Sponsor Role lead

Responsible Party

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Javier Santos Fernández

Clinical Trials Coordinator

Responsibility Role SPONSOR_INVESTIGATOR

Locations

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University Care Complex of Palencia

Palencia, , Spain

Site Status

Countries

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Spain

Other Identifiers

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2024/023

Identifier Type: -

Identifier Source: org_study_id

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