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CompletedNCT05089071Updated Jul 27, 2023

Effect of Two Colonoscopy AI Systems for Colon Polyp Detection

An interventional study of Assist by artificial intelligence system for colon polyp detection in Adenoma, Colonoscopy and Sessile Serrated Adenoma, sponsored by Seoul National University Hospital. Completed at 1 site in Korea, Republic of. Open to participants aged 45 Years to 100 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-07-27.

Sponsored by Seoul National University Hospital · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
3,046
Allocation
Non-randomized
Ages
45 Years to 100 Years
Sex
All
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Study summary

Computer-aided detection (CADe) systems have been actively researched for polyp detection in colonoscopy. The investigators aim to identify the effect of two CADe systems according to the system performance on false positive rate

Read the detailed description

Artificial intelligence technology based on deep learning is being applied in various medical fields, and research is being actively conducted to develop computer-aided detection (CADe) systems for colonoscopies to overcome the limitation of the variance of human skills. These well-trained CADe systems demonstrated high performance for neoplastic polyp detection and reported a 44% increase in adenoma detection rate (ADR) for endoscopists. However, the level of performance in the CADe system is not clear for expert endoscopists to be useful for ADR increase.

Furthermore, false positives(FPs) of the CADe system may negatively influence ADR during a screening colonoscopy. Accordingly, the investigators sought to identify the effect of the colonoscopy CADe system according to FP performance in endoscopists with various levels. The investigators hypothesized that the CADe system with low FPs would be useful to prevent the decrease in ADR in case of a high endoscopy workload according to the performance of CADe systems.

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Conditions studied

  • Adenoma
  • Colonoscopy
  • Sessile Serrated Adenoma

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Keywords

  • endoscopist
  • adenoma detection rate
  • colonoscopy
  • artificial intelligence
03

In context

Adenoma

657 studies on the registry are indexed under Adenoma; 98 are open to participants now.

This study's enrollment of 3,046 is above the median of 250 across 412 interventional studies indexed under Adenoma.

Browse Adenoma studies →

Lead sponsor

Seoul National University Hospital is the lead sponsor of 1,860 studies on the registry; 275 are open to participants now.

Of its 12 completed or terminated interventional studies of FDA-regulated products, 2 (17%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
45 Years to 100 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

patient for screening or surveillance colonoscopy patients agreed with participating in the study

Exclusion criteria

Exclusion Criteria:

patients who do not agree with participating in the study patients with a history of colon resection patients with a history of inflammatory bowel resection patients with poor bowel preparation

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Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
3,046 participants (actual)

Study arms

  • Experimental
    CADe group

    Endoscopists perform colonoscopy with CADe system

    Device: Assist by artificial intelligence system for colon polyp detection

  • No intervention
    Control

    Endoscopists perform colonoscopy without CADe system

Interventions

  • DeviceAssist by artificial intelligence system for colon polyp detection

    Assist by artificial intelligence system for colon polyp detection

06

What researchers measure

Primary outcomes

  1. Adenoma detection rate

    proportion of colonoscopies with at least one adenoma detected overall and as detected by the physician.

    Time frame: 12 months

  2. Sessile serrated lesion detection rate

    proportion of colonoscopies with at least one sessile serrated lesion detected overall and as detected by the physician.

    Time frame: 12 months

Secondary outcomes

  1. polyp detection rate

    proportion of colonoscopies with at least one polyp detected overall and as detected by the physician.

    Time frame: 12 months

07

Study locations

1 site
  • Healthcare System Gangnam Center, Seoul National University Hospital
    Seoul, Korea, Republic of
08

References and documents

Publications

  • Hassan C, Spadaccini M, Iannone A, Maselli R, Jovani M, Chandrasekar VT, Antonelli G, Yu H, Areia M, Dinis-Ribeiro M, Bhandari P, Sharma P, Rex DK, Rosch T, Wallace M, Repici A. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc. 2021 Jan;93(1):77-85.e6. doi: 10.1016/j.gie.2020.06.059. Epub 2020 Jun 26. PubMed 32598963 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 27, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05089071
Lead sponsor
Seoul National University Hospital
Collaborators
Seoul National University
Responsible party
Sponsor
First posted
Oct 22, 2021
Start date
Nov 1, 2021
Primary completion
Oct 31, 2022
Completion
Dec 31, 2022
Last update
Jul 27, 2023

Study contacts

Jung Ho Bae, MD
principal investigator · Seoul National University Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Mar 2022. You cannot join it, but the record below documents what was studied.

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