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Study identifier: NCT07424391 Synced from ClinicalTrials.gov · July 29, 2026
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COLO-PREDICT: Digital Training and Optical Diagnosis of Colorectal Polyps

Condition: Colorectal Polyps  ·  Sponsor: Clinique Paris-Bercy

PhaseN/A
Planned participants1500
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

David Karsenti, MD  ·  +33145486565  ·  karsenti.paris@gmail.com

Coralie Declerck, Ms.  ·  c.declerck@clinique-bercy.fr

Always discuss trial participation with your own doctor first.

Locations (1)

Clinique Paris-BercyCharenton-le-Pont, Val de Marne, FranceRecruiting

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Source record: clinicaltrials.gov/study/NCT07424391