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RECRUITING
NCT07424391

COLO-PREDICT: Digital Training and Optical Diagnosis of Colorectal Polyps

Sponsor: Clinique Paris-Bercy

View on ClinicalTrials.gov

Summary

Colorectal cancer prevention relies on high-quality colonoscopy and accurate optical characterization of colorectal polyps. Optical diagnosis may allow optimization of management strategies such as resect-and-discard for diminutive polyps, potentially improving efficiency in routine practice. COLO-PREDICT is a prospective, single-center, observational study designed to evaluate the impact of a structured digital training program (Colo-ID, a digital application for colonic polyp characterisation training) on the accuracy of optical histology prediction of colorectal polyps in real-life clinical practice. All consecutive adult patients undergoing colonoscopy with at least one detected polyp will be included. Optical prediction of polyp histology will be recorded during the procedure. All polyps will be resected and sent for histopathological analysis according to standard practice. No modification of patient management will occur as part of the study. The primary objective is to assess the concordance between optical prediction and histopathology before and after implementation of the digital training program. Secondary objectives include evaluation of prediction performance according to polyp characteristics and assessment of potential implications for clinical practice.

Official title: Impact of a Digital Training Program (Colo-ID) on Optical Histologic Prediction and Management of Colorectal Polyps: A Prospective Study

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

1500

Start Date

2026-02-09

Completion Date

2026-09

Last Updated

2026-02-23

Healthy Volunteers

No

Interventions

OTHER

Digital Training Program (Colo-ID)

Structured educational program for endoscopists focused on optical polyp characterization. No direct intervention on patients.

Locations (1)

Clinique Paris-Bercy

Charenton-le-Pont, Val de Marne, France