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Development of a Computer-aided Polypectomy Decision Support

NCT04811937 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2022-12-13

No results posted yet for this study

Summary

Quality components of colonoscopy include the detection and complete removal of colorectal polyps, which are precursors to CRC. However, endoscopic ablation may be incomplete, posing a risk for the development of "interval cancers". The investigators propose to develop a solution based on artificial intelligence (AI) (CADp computer-aided decision support polypectomy) to solve this problem.This research project aims to develop CADp, a computer decision support solution (CDS) for the ablation of colorectal polyps from 1 to 20 mm.

Conditions

  • Adenomatous Polyps

Interventions

DIAGNOSTIC_TEST

Computer-aided polypectomy decision support by Artificial Intelligence

The AI system will capture the live video of the procedure and the AI feedbackwill be shown on a second screen installed next to the regular endoscopy screen. Screen A will show the regular endoscopy image and screen B will show the regular endoscopy image together with the areas that might harbor a polyp and the information to help the polypectomy.

Sponsors & Collaborators

  • Centre hospitalier de l'Université de Montréal (CHUM)

    lead OTHER

Principal Investigators

  • Daniel von Renteln · Centre hospitalier de l'Université de Montréal (CHUM)

Study Design

Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
45 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-12-31
Primary Completion
2023-04-30
Completion
2023-04-30

Countries

  • Canada

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04811937 on ClinicalTrials.gov