CAD-EYE System for the Detection of Neoplastic Lesions in Patients With Lynch Syndrome

Launched by PERROD GUILLAUME · Jul 18, 2023

Keywords

ClinConnect Summary

This clinical trial is studying a new system called CAD-EYE, which uses artificial intelligence to help detect polyps in the colon of patients with Lynch Syndrome. Lynch Syndrome is a genetic condition that increases the risk of colorectal cancer (CRC), making regular screening very important. The trial aims to see if the CAD-EYE system is as effective as a traditional method called chromoendoscopy, which uses special dye to highlight polyps during a colonoscopy.

To participate in this trial, you need to be an adult with a confirmed genetic mutation related to Lynch Syndrome and agree to take part in the study. It's important that you are able to understand French and have access to a social security scheme. If you join, you can expect to undergo a colonoscopy where either the CAD-EYE system or the traditional method will be used to check for polyps. The goal is to find out if CAD-EYE can help detect polyps just as well, which could improve screening for colorectal cancer in patients with Lynch Syndrome.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Confirmed pathogenic mutation (path_MLH1, path_MSH2, path_MSH6, path_PMS2, path_EpCAM)
• • Male or female of legal age at time of colonoscopy prescription.
• • Patient agreeing to participate in the study
• • Person affiliated with or benefiting from a social security scheme
• • Free, informed and express consent
• Exclusion Criteria:
• • Patient undergoing total colectomy with ileoanal or ileosigmoid anastomosis
• • Patient with a history of Crohn's disease or ulcerative colitis
• • Patients with a known allergy or intolerance to polyethylene glycol and ascorbic acid.
• • Patients unable to undergo fractionated colonic preparation
• • Inadequate colonic preparation: Boston sub-score \<2 per segment
• • Patient under guardianship or protected person
• • Patient who does not understand French or cannot read
• • Person not affiliated to a Social Security system.
• • Pregnant women