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Real-time Artificial Intelligence Aided Diagnosis of Colorectal Polyps during Colonoscopy -a Multicenter Clinical Trial with the EndoBRAIN Technology-

Real-time Artificial Intelligence Aided Diagnosis of Colorectal Polyps during Colonoscopy -a Multicenter Clinical Trial with the EndoBRAIN Technology- - EndoBRAIN international

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000035213
Enrollment
345
Registered
2019-04-08
Start date
2019-04-08
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

Diminutive rectosigmoid polyps

Interventions

Diagnosis using EndoBRAIN. (The present study does not require additional invasive interventions as compared to clinical practice. )

Sponsors

Oslo University; Showa University; King's college
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Individuals 18 years or older who are scheduled for screening, surveillance, diagnostic, or therapeutic colonoscopy at the trial centres with diminutive rectosigmoid polyps (<=5mm).

Exclusion criteria

Exclusion criteria: 1. Diminutive polyps with known histology 2. Inflammatory bowel disease 3. Polyposis syndrome (e.g., familial adenomatous polyposis, serrated polyposis) 4. History of chemotherapy or radiation therapy for colorectal lesions 5. Inability to undergo polypectomy (e.g. intake of anticoagulants, comorbidities, or patient refusal) 6. Pregnancy

Design outcomes

Primary

MeasureTime frame
To compare the sensitivity of identifying diminutive colorectal polyps as adenomas during colonoscopy with the combination of visual inspection and the use of the EndoBRAIN technology to visual inspection alone.

Secondary

MeasureTime frame
1. To compare the specificity of identifying diminutive colorectal polyps as adenomas during colonoscopy with the combination of visual inspection and the use of the EndoBRAIN CAD technology to visual inspection alone. 2. To estimate the sensitivity, specificity, positive predictive value, and negative predictive value of the combination of visual inspection and the use of the EndoBRAIN CAD technology 3. To assess whether the diagnostic performance of the combination of visual inspection and the use of the EndoBRAIN CAD technology of endoscopists meets the PIVI-1 and PIVI-2 guideline recommendations for diagnostic performance of the American Society of Gastrointestinal Endoscopy (ASGE)12: >90% accuracy in predicting post-polypectomy surveillance intervals based on optical biopsy with high confidence (PIVI-1*); >90% NPV in identifying rectosigmoid diminutive adenomas based on optical biopsy with high confidence (PIVI-2)6. 4. To estimate the percentage of diminutive colorectal polyps from which endocytoscopic images can be successfully captured (acquisition rate). 5. To estimate the rate of high-confidence diagnosis with EndoBRAIN as compared to visual polyp inspection alone. 6. To evaluate the colonoscopy performance with an endocytoscope including the EndoBRAIN device with regard to cecal intubation rate, insertion time, and complications.

Countries

Japan,Europe

Contacts

Public ContactYuichi Mori

Showa University Northern Yokohama Hospital, Yokohama Digestive Disease Center

ibusiginjp@gmail.com+81-45-949-7000

Outcome results

None listed

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