Timely: Evaluation of ArTificial Intelligence System (Gi-Genius) for adenoMa dEtection in Lynch Syndrome.

Sponsor
Hospital Clinic of Barcelona (Other)
Overall Status
Recruiting
CT.gov ID
NCT04909671
Collaborator
European Society of Gastrointestinal Endoscopy (Other)
404
2
2
26.6
202
7.6

Study Details

Study Description

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.

Condition or Disease Intervention/Treatment Phase
  • Device: Gi Genius, Medtronic
  • Other: White light standart colonoscopy
N/A

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).

Study Design

Study Type:
Interventional
Anticipated Enrollment :
404 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Masking:
Double (Participant, Outcomes Assessor)
Primary Purpose:
Diagnostic
Official Title:
Evaluation of ArTificial Intelligence System (Gi-Genius) for adenoMa dEtection in Lynch Syndrome. A Randomized, Parallel, Multicenter, Controlled Trial. TIMELY Study.
Actual Study Start Date :
Sep 13, 2021
Anticipated Primary Completion Date :
Dec 1, 2023
Anticipated Study Completion Date :
Dec 1, 2023

Arms and Interventions

Arm Intervention/Treatment
Active Comparator: CAD arm

Patients allocated to CAD arm will receive during colonoscopy withdrawal high definition white light endoscopy aided with artificial intelligence device (Gi Genius, Medtronic)

Device: Gi Genius, Medtronic
GI geniusTM (Medtronic) is an artificial intelligence device designed and validated on a dataset of white-light endoscopy videos from high-quality randomized controlled trials for the detection of colorectal lesions during colonoscopy. Based on a deep learning system using convolutional neural networks, GI genius works in real-time side-to-side with the gastroenterologist during colonoscopy highlighting the presence of precancerous lesions with a visual marker (green box) in real time and designed to be integrated with the majority of colonoscopies.

Placebo Comparator: WLE arm

Patients allocated to WLE arm will receive during colonoscopy withdrawal high definition white light endoscopy as standart of care.

Other: White light standart colonoscopy
High definition white light endoscopy will be used during the scope withdrawal

Outcome Measures

Primary Outcome Measures

  1. 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

  1. 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).

  2. 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

  3. Adenoma detection rate [18 months]

    proportion of individuals undergoing a complete colonoscopy who had at least one adenoma detected between two arms.

  4. Polyp detection rate [18 months]

    proportion of individuals undergoing a complete colonoscopy who had at least one polyp detected between two arms.

  5. 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.

  6. 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

  7. 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

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • 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.
Exclusion Criteria:
  • 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

Contacts and Locations

Locations

Site City State Country Postal Code
1 María Pellisé. MD. PhD. Barcelona Spain 08036
2 Oswaldo ortiz Barcelona Spain 08036

Sponsors and Collaborators

  • Hospital Clinic of Barcelona
  • European Society of Gastrointestinal Endoscopy

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
María Pellisé, Principal Investigator. Attending physician Gastroenterology department., Hospital Clinic of Barcelona
ClinicalTrials.gov Identifier:
NCT04909671
Other Study ID Numbers:
  • Timely
First Posted:
Jun 2, 2021
Last Update Posted:
Mar 17, 2022
Last Verified:
Mar 1, 2022
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Mar 17, 2022