Evaluation of ArTificial Intelligence System (Gi-Genius) for adenoMa dEtection in Lynch Syndrome.
- Conditions
- Lynch Syndrome
- Interventions
- Other: White light standart colonoscopyDevice: Gi Genius, Medtronic
- Registration Number
- NCT04909671
- Lead Sponsor
- Hospital Clinic of Barcelona
- Brief Summary
The purpose of this study is to assess if artificial intelligence aid colonoscopy colonoscopy is superior to conventional colonoscopy for the detection of adenomas during surveillance colonoscopy in patients with Lynch syndrome.
- Detailed Description
To compare the performance of white-light colonoscopy (HD-WLE) versus white-light + CAD (CAD) for detection of adenomas (1:1 ratio). The CAD system will include an artificial intelligence-based medical device (GI Genius, Medtronic) trained to process colonoscopy images and superimpose them, in real time, on the endoscopy display as a green box over suspected lesion. An adequate bowel preparation and minimum withdrawal time of 6 min will be required. Colonoscopies will be performed by experienced endoscopists and with high-definition scopes. Lesions will be collected, and histopathology findings used as the reference standard. The primary outcome of this trial will be the mean number of adenomas per colonoscopy (APC).
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 404
- Age ≥18 years with a proven pathogenic germline variant in one of the MMR genes (MLH1, MSH2, MSH6) or Epcam deletion who are under surveillance colonoscopy.
- Previous history of total colectomy,
- Concomitant inflammatory bowel disease,
- Inability or refuse to sign the informed consent,
- Previous colonoscopy < 12 months.
- Inadequate bowel preparation.
- Incomplete procedure.
- PMS2 mutation carriers
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description WLE arm White light standart colonoscopy Patients allocated to WLE arm will receive during colonoscopy withdrawal high definition white light endoscopy as standart of care. CAD arm Gi Genius, Medtronic Patients allocated to CAD arm will receive during colonoscopy withdrawal high definition white light endoscopy aided with artificial intelligence device (Gi Genius, Medtronic)
- Primary Outcome Measures
Name Time Method Mean number of adenomas per colonoscopy 18 months Compare mean number of adenomas in both arms calculated by dividing the total number of adenomas detected by the total number of colonoscopies in each arm
- Secondary Outcome Measures
Name Time Method Mean number of polyps per colonoscopy 18 months Compare mean number of polyps in both arms calculated by dividing the total number of polyps (including serrated lesions and adenomas) detected by the total number of colonoscopies in each arm
Withdrawal time 18 months time spent on inspection, from the cecum to endoscope extraction through the anus, excluding the time needed for therapeutic measures (including polypectomy).
False positives in CAD arm 18 months Combination of:
* Lesions detected by CAD (\>2s green box) after an adequate inspection with a high confidence optical diagnosis negative for neoplasia made by the endoscopist.
* Lesions detected by CAD (\>2s green box) after an adequate inspection resected by the endoscopist and with a clinically non-significant histology.Polyp detection rate 18 months proportion of individuals undergoing a complete colonoscopy who had at least one polyp detected between two arms.
Adenoma detection rate 18 months proportion of individuals undergoing a complete colonoscopy who had at least one adenoma detected between two arms.
Mean number of non-clinically significant removed lesions 18 months Lesions removed and with a histology of normal or inflammatory mucosa or removed diminutive recto-sigmoid polyps with a histology of hyperplastic
Subjective endoscopist measures 18 months Questionary addresing the easiness and satisfaction of the procedure, detection of lesions and performance of artificial intelligence will be filled in by each endoscopist
Trial Locations
- Locations (2)
María Pellisé. MD. PhD.
🇪🇸Barcelona, Spain
Oswaldo ortiz
🇪🇸Barcelona, Spain