Adenoma Detection Rate in Artificial Intelligence-assisted Colonoscopy
1 other identifier
interventional
795
1 country
4
Brief Summary
The goal of this quasi randomized multicenter controlled clinical trial (RCT) is to investigate whether a combined real time computer-aided polyp detection (CADe) and computer-aided polyp characterization (CADx) system (GI Genius, Medtronic) can increase the adenoma detection rate (ADR) and reduce the performance variability among endoscopists. Participants will be randomized (1:1) to either receive an AI-assisted colonoscopy (AIC) or a conventional colonoscopy (CC). If there is a comparison group: Researchers will compare the AIC-group and the CC-group to see if AIC can increase the ADR significantly.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable colorectal-cancer
Started Oct 2022
Shorter than P25 for not_applicable colorectal-cancer
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2022
CompletedFirst Submitted
Initial submission to the registry
February 3, 2023
CompletedFirst Posted
Study publicly available on registry
February 22, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 3, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
March 3, 2023
CompletedMarch 6, 2025
September 1, 2024
5 months
February 3, 2023
March 5, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Adenoma detection rate (ADR)
ADR = (number of examinations with adenomas/total number of examinations) × 100.
5 Months
Secondary Outcomes (6)
Polyp detection rate (PDR)
5 Months
Adenomas per colonoscopy (APC)
5 Months
Polyps per colonoscopy (PPC)
5 Months
Duration of the procedure
5 Months
Non-neoplastic resection rate (NNRR)
5 Months
- +1 more secondary outcomes
Study Arms (2)
Control
NO INTERVENTIONConventional colonoscopy, without AI-assistance.
AI-assisted colonoscopy
ACTIVE COMPARATORAI-assisted colonoscopy (AIC) using a computer-aided polyp detection and characterization (CADe and CADx) system.
Interventions
The patients in the intervention group will receive an AI-assisted colonoscopy (AIC) using the computer-aided polyp detection and characterization (CADe and CADx) GI Genius (Medtronic).
Eligibility Criteria
You may qualify if:
- Referred for screening colonoscopy due to a positive faecal immunochemical test (FIT) or for
- Diagnostic colonoscopy due to symptoms/signs or
- Post-polypectomy surveillance colonoscopy (only patients who had all detected polyps removed in the previous colonoscopy)
You may not qualify if:
- Referral for removal of previous detected polyps
- Emergency colonoscopy
- Control colonoscopy due to inflammatory bowel disease (IBD)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Ismail Gögenurlead
- Nykøbing Falster County Hospitalcollaborator
- Naestved Hospitalcollaborator
- Holbaek Sygehuscollaborator
- Slagelse Hospitalcollaborator
Study Sites (4)
Holbæk Hospital
Holbæk, 4300, Denmark
Zealand University Hospital
Køge, 4600, Denmark
Nykøbing Falster County Hospital
Nykøbing Falster, 4800, Denmark
Næstved Hospital
Næstved, 4700, Denmark
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ronja Lagström, MD
Zealand University Hospital, Køge
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Professor, DMSc
Study Record Dates
First Submitted
February 3, 2023
First Posted
February 22, 2023
Study Start
October 1, 2022
Primary Completion
March 3, 2023
Study Completion
March 3, 2023
Last Updated
March 6, 2025
Record last verified: 2024-09