Skip to content

RCT for CADx in colonoscopy

Study of AI-based COmputer-aided diagnosis in colonoscopy for Polyp charactErization: a multi-center randomized controlled trial - AI-SCOPE Trial

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-jRCT1032240604
Enrollment
720
Registered
2025-01-14
Start date
2026-02-02
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

Colorectal polyp

Interventions

The intervention group (EndoBRAIN: EB group) uses EndoBRAIN-X, which is approved by the Pharmaceutical Affairs Law, and the results are referred to the physician for endoscopic diagnosis. The control

Sponsors

Misawa Masashi
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Adult patients 18 years of age or older scheduled for colonoscopy and consenting to the study

Exclusion criteria

Exclusion criteria: 1. patients with a history of colorectal resection (excluding appendectomy) 2. Patients who are known to have a micro-polyp that is expected to be involved in the primary endpoint before the examination, and who have specific characteristic information (location, size, morphology, pathological diagnosis, etc.) that could affect the endoscopic diagnosis of the lesion. 3. Patients with known intra-abdominal mass or intestinal mass Patients with inflammatory bowel disease, polyposis, or hereditary colorectal cancer 5. patients who cannot be treated with anticoagulants or antiplatelet agents in accordance with the Guidelines for Gastrointestinal Endoscopy for Patients on Antithrombotic Agents (2012) and Supplement (2017), and whose lesions cannot be resected 6. patients who have an emergency endoscopy (gastrointestinal bleeding, sigmoid colon torsion repair) 7. pregnant women and lactating mothers 8. Other patients who are judged by the physician in charge or the examining physician to be unsuitable for the study, including those with underlying medical conditions.

Design outcomes

Primary

MeasureTime frame
Percentage of lesions for which pathology can be omitted

Secondary

MeasureTime frame
Sensitivity, specificity, positive predictive value, negative predictive value, and positive predictive value for neoplastic lesions (including SSL) of 5 mm or less (Also examine by confidence level) Sensitivity, specificity, positive predictive value, negative predictive value, and positive predictive value for neoplastic lesions less than 5 mm (not including SSL) (Also examine by confidence level) Percentage of tumor-free resections: Percentage of patients without adenoma or SSL in the resected lesion (Repici A et al. (Repici A et al. Gut 2022;71(4):757-765) Sensitivity, specificity, positive predictive value, negative predictive value, and positive predictive value for SSL in serrated lesions (also by confidence level) Agreement rates of surveillance intervals based on JGES, ASGE, and ESGE guidelines. Percentage of cases with shortened or prolonged surveillance intervals due to misdiagnosis Percentage of lesions with discrepancies between physician and AI diagnosis Endoscope removal time (time elapsed from cecum to anus including observation and treatment time) Medical costs associated with the examinations (comparison assuming that pathological diagnosis and endoscopic treatment were omitted). Learning curve of examiner's diagnostic ability Evaluation by proficiency level Sensitivity, specificity, positive diagnostic rate, negative predictive value, and positive predictive value of EB-X's diagnostic support results

Contacts

Public ContactMasashi Misawa

Showa University Northern Yokohama Hospital

mmisawa@med.showa-u.ac.jp+81-45-949-7000

Outcome results

None listed

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