COLO-PREDICT: Digital Training and Optical Diagnosis of Colorectal Polyps
ConditionColorectal Polyps
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorClinique Paris-Bercy
About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Adults aged ≥18 years
Patients undergoing colonoscopy in routine clinical practice at the participating center
At least one colorectal polyp detected during colonoscopy
Optical histology prediction recorded during the procedure
Disqualifiers
Patients aged <18 years
Refusal/opposition to use of data (if applicable under local regulations)
Missing key study data (e.g., no recorded optical prediction or no histopathology result)
Trial population
Adult patients undergoing colonoscopy in routine clinical practice at Clinique Paris-Bercy, in whom at least one colorectal polyp is detected and optically characterized by participating endoscopists. The study evaluates optical histology prediction performance before and after implementation of the Colo-ID digital training program. Histopathological analysis of resected polyps serves as the reference standard when applicable.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Digital Training Program (Colo-ID)
Other interventionStructured educational program for endoscopists focused on optical polyp characterization. No direct intervention on patients.
Treatment groups
1,500 Participants
are divided into 1 treatment groupGroup A: Prospective Colonoscopy Cohort1 intervention
Trial outcomes
Primary outcomes
1
Change in Optical Histology Prediction Accuracy After Use of the Colo-ID Training Program
Difference in overall accuracy of optical histologic prediction of colorectal polyps (agreement with final histopathology) between the pre-training period and the post-training period following implementation of the Colo-ID training program in routine clinical practice.
Time frame
Pre-training period and post-training period between February 2026 and June 2026.Secondary outcomes
1
Proportion of Polyps Eligible for Resect-and-Discard and Diagnose-and-Leave Strategies
Proportion of detected polyps meeting guideline-based criteria for implementation of resect-and-discard or diagnose-and-leave strategies.
Time frame
From February 2026 to June 2026.2
Proportion of Advanced Lesions Among Polyps Considered Eligible for Discard
Rate of advanced histologic features among polyps classified as eligible for resect-and-discard or diagnose-and-leave strategies based on optical prediction.
Time frame
From February 2026 to June 2026.3
Inter-Operator Variability in Optical Prediction Accuracy
Comparison of optical prediction accuracy across participating endoscopists and assessment of potential reduction in variability after training.
Time frame
Pre- and post-training periods between February 2026 and June 2026.4
Individual and Collective Performance Evolution After Training
Change in individual and group-level optical prediction accuracy associated with routine use of the Colo-ID training tool.
Time frame
Pre- and post-training periods between February 2026 and June 2026.Sponsors and contacts
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Source ClinicalTrials.gov