COLO-DETECT: Can an Artificial Intelligence Device Increase Detection of Polyps During Colonoscopy?

Last updated: November 21, 2023
Sponsor: South Tyneside and Sunderland NHS Foundation Trust
Overall Status: Completed

Phase

N/A

Condition

Polyps

Colon Polyps

Treatment

GI Genius-assisted diagnostic colonoscopy

Diagnostic Colonoscopy

Clinical Study ID

NCT04723758
COLO-DETECT
286426
21-WS-003
10451355
  • Ages > 18
  • All Genders

Study Summary

COLO-DETECT is a clinical trial to evaluate whether an Artificial Intelligence device ("GI Genius", manufactured by Medtronic) can identify more polyps (pre-cancerous growths of the bowel lining) during colonoscopy (large bowel camera test) than during colonoscopy without it.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Able to give informed consent
  • Patients attending for colonoscopy
  • Through standard National Health Service (NHS) care (most commonly due to irondeficiency anaemia, altered bowel habit, weight loss, rectal bleeding, positiveFIT (faecal immunohistochemical test) based on symptoms, those referred on basisof family history, abnormal cross- sectional imaging, polyp surveillance or postCRC surveillance)
  • Through Bowel Cancer Screening Programme (FIT positive, surveillance)
  • Colonoscopy to be performed by colonoscopist trained to perform GGC as part of thestudy

Exclusion

Exclusion Criteria:

  • Absolute contraindications to colonoscopy
  • Patients lacking capacity to give informed consent
  • Confirmed or expected pregnancy
  • Established or suspected large bowel obstruction or pseudo-obstruction
  • Known presence of colorectal cancer or polyposis syndromes
  • Known colonic strictures (meaning that the colonoscopy maybe incomplete)
  • Known active colitis (ulcerative colitis, Crohn's colitis, diverticulitis, infectivecolitis)
  • Inflammatory Bowel Disease (IBD) surveillance procedures
  • Patients who are on clopidogrel, warfarin, or other antiplatelet agents oranticoagulants who have not stopped this for the procedure (as polyps cannot beremoved and thus histology cannot be confirmed)
  • Patients who are attending for a planned therapeutic procedure or assessment of aknown lesion
  • Patients referred with polyps identified on Bowel Scope procedure

Study Design

Total Participants: 2032
Treatment Group(s): 2
Primary Treatment: GI Genius-assisted diagnostic colonoscopy
Phase:
Study Start date:
March 29, 2021
Estimated Completion Date:
April 20, 2023

Study Description

Colorectal cancer is common, affecting 1 in 15 men and 1 in 18 women in the UK in their lifetime. Many colorectal cancers develop from polyps via the adenoma-carcinoma sequence: there is a pre-cancerous stage (adenoma) during which it is possible to remove the polyp and therefore prevent it from progressing to colorectal cancer. The gold standard tool for doing this is colonoscopy. However, colonoscopy does not pick up all polyps, particularly flat polyps.

Missed polyps can result in colorectal cancer, so it is imperative to detect and remove as many polyps as possible. Many different interventions have been introduced to improve polyp detection, the most recent of which is artificial intelligence devices. GI Genius is an artificial intelligence device which integrates with existing colonoscopy equipment and analyses the video feed from the colonoscope camera in real time. Any areas that may represent an abnormality are then highlighted (without any lag) within a green box, alerting the colonoscopist to its presence. The potential abnormality can then be assessed more closely by the colonoscopist to decide whether it needs to be removed or not.

COLO-DETECT is a 2-arm, prospective, randomised controlled trial to assess whether GI Genius is able to detect more polyps (specifically, adenomas) during colonoscopy than standard colonoscopy without GI Genius. The primary outcome will be the mean number of adenomas per procedure (MAP) and the key secondary outcome will be the proportion of colonoscopies in which one or more adenomas is detected (Adenoma Detection Rate - ADR). These are both important quality markers for colonoscopy; the study will be powered to detect a clinically meaningful difference in ADR, which will by default detect a meaningful difference in MAP as the sample size required for ADR is larger.

In addition to measuring the effect of GI Genius on polyp detection, COLO-DETECT will provide a health economics analysis concerning the use of GI Genius, perform long-term passive follow-up to examine for future outcomes related to colorectal polyps and colorectal cancer, and perform additional nested studies (subject to ethical approval) that examine the effect upon users (for example through a visual scanning study) and their experience of using the GI Genius.

Connect with a study center

  • North Tees and Hartlepool NHS Foundation Trust

    Hartlepool, County Durham TS24 9AH
    United Kingdom

    Site Not Available

  • University Hospitals of Morecambe Bay NHS Foundation Trust

    Kendal, Cumbria LA9 7RG
    United Kingdom

    Site Not Available

  • Northumbria Healthcare NHS Foundation Trust

    North Shields, North Tyneside NE29 8NH
    United Kingdom

    Site Not Available

  • Kettering General Hospital NHS Foundation Trust

    Kettering, Northamptonshire NN16 8UZ
    United Kingdom

    Site Not Available

  • University Hospitals Sussex NHS Foundation Trust

    Worthing, Sussex BN11 2DH
    United Kingdom

    Site Not Available

  • South Tees Hospitals NHS Foundation Trust

    Middlesbrough, Teesside
    United Kingdom

    Site Not Available

  • The Newcastle-upon-Tyne Hospitals NHS Trust

    Newcastle Upon Tyne, Tyne & Wear NE7 7DN
    United Kingdom

    Site Not Available

  • South Tyneside and Sunderland NHS Foundation Trust

    Sunderland, Tyne And Wear SR4 7TP
    United Kingdom

    Site Not Available

  • The Royal Wolverhampton NHS Trust

    Wolverhampton, West Midlands WV10 0QP
    United Kingdom

    Site Not Available

  • Bolton NHS Foundation Trust

    Bolton, BL4 0JR
    United Kingdom

    Site Not Available

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