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Verification of the performance of lesion detection assistance in computer aided diagnosis endoscopy

Verification of the performance of lesion detection assistance in computer aided diagnosis endoscopy - Verification of the performance of lesion detection assistance in computer aided diagnosis endoscopy

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000053310
Enrollment
50
Registered
2024-01-10
Start date
2024-01-10
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Patients who underwent computer aided diagnosis endoscopy at our facility and polyps were detected

Interventions

Re-observation using Linked color imaging

Sponsors

Oita University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients who are at least 20 years of age at the time consent is obtained 2. Patients who are able to perform the preparation as usual 3. Gender: any gender 4. Inpatient and outpatient: No questions asked

Exclusion criteria

Exclusion criteria: 1. Patients undergoing emergency endoscopy 2. Patients with a history of colon resection or severe adhesion of the intestinal tract known in advance 3. Patients with chronic intestinal diseases such as inflammatory bowel disease 4. Patients with poor preparation

Design outcomes

Primary

MeasureTime frame
Time from lesion appearance on endoscopic image to AI detection of lesion

Secondary

MeasureTime frame
Comparison of lesion detection time by lesion shape and color tone Comparison of lesion detection time in case of AI endoscopy with LCI

Countries

Japan

Contacts

Public ContactKazuhiro Mizukami

Oita University Department of Gastroenterology

mizkaz0809@oita-u.ac.jp097-586-6193

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026