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Artificial Intelligence (AI) Validation Study for Polyp Detection

Artificial Intelligence Validation Trial for Polyp Detection: Pilot Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04378660
Enrollment
357
Registered
2020-05-07
Start date
2019-10-30
Completion date
2020-04-18
Last updated
2020-05-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Polyp of Colon

Keywords

Colonic polyp, Artificial intelligence, Second observer

Brief summary

Interventional prospective multicenter study: Polyp detection by an automated endoscopic tool as second observer during routine diagnostic colonoscopy

Detailed description

This is an investigator-initiated multicentre non-randomized prospective interventional trial to validate the performance of a novel state-of-the-art computer-aided diagnostic (CAD) tool in polyp detection implemented as second observer during routine diagnostic colonoscopy and to evaluate its feasibility in daily endoscopy. Patients referred for a screening surveillance or therapeutic colonoscopy will undergo a colonoscopy performed by an endoscopist with moderate to high adenoma detection rate (ADR \> 20% and \< 50%) while a second observer will follow the procedure on a bedside AI-tool to count the number of detections made by the AI system and categorize the results into positive or negative results as follows (1) true positive, (2) false negative, (3) other positive and (4) obvious false positive. When a doubtful detection is made by the AI-system, the second observer will ask to re-evaluate the indicated region. When the detection is clear, the endoscopist and second observer do not communicate. The entire procedure is recorded.

Interventions

DIAGNOSTIC_TESTArtificial intelligence for polyp detection

Colonoscopy enriched with artificial intelligence tool developed for polyp detection, implemented as a second observer

Sponsors

Nuovo Regina Margherita Hospital, Rome, Italy
CollaboratorUNKNOWN
Universitäts Medizin, Mainz, Germany
CollaboratorUNKNOWN
Universitaire Ziekenhuizen KU Leuven
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
16 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* \> 18 years * Diagnostic or screening colonoscopy * Therapeutic colonoscopy

Exclusion criteria

* Inability to give informed consent by the patient or legal representative * \< 18 years old * Any contraindication for colonoscopy or biopsies of the colon * Uncontrolled coagulopathy * Confirmed diagnosis of inflammatory bowel disease * Short bowel or ileostomy * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Diagnostic accuracy of the novel AI system compared to endoscopic diagnosis as gold standard4 monthsDetermination of the diagnostic accuracy of the novel AI system as second observer

Secondary

MeasureTime frameDescription
Endoscopist's polyp miss rate as number of extra AI detections4 monthsDetermination of the AI system's precision and extra value as second observer

Countries

Belgium

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026