A prospective observational study to investigate the usefulness of an artificial intelligence-based endoscopic image diagnosis support system for rare upper gastrointestinal cancers

A prospective observational study to investigate the usefulness of an artificial intelligence-based endoscopic image diagnosis support system for rare upper gastrointestinal cancers - The usefulness of AI endoscopy for rare upper gastrointestinal cancers

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000058226

Enrollment

Registered

2025-06-20

Start date

2025-07-01

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

Recurrent esophageal cancer after radiation therapy Esophagogastric junction cancer/Barrett&#39

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients scheduled to undergo upper gastrointestinal endoscopy for the following cancers or suspected cancer lesions at our university - Recurrent esophageal cancer after radiation therapy - Esophagogastric junction cancer/Barrett's cell carcinoma - Esophagealcancer in the mucosa behind achalasia - Undifferentiated gastric cancer not infected with Helicobacter pylori

Exclusion criteria

Exclusion criteria: - Patients who the principal investigator judges to be unsuitable as study subjects - Patients who are unable to consent - Minors - Patients who do not undergo treatment at their own facility

Design outcomes

Primary

Measure	Time frame
Detection rate of CAD EYE (White light-CADe, LCI-CADe and BLI-CADe) for known upper gastrointestinal cancers	—

Secondary

Measure	Time frame
Characteristics of known lesions detected/not detected by White light-CADe, LCI-CADe or BLI-CADe Survey items CAD EYE detection results Information about lesions (number, location [direction, circumferential distribution, etc.], shape (protruding, flat, depressed), etc.) Pathology results Other information (patient information, surgeon information, endoscopic examination information, etc.)	—

Countries

Japan

Contacts

Public ContactTAKAO MAEKITA

School of Medicine, Wakayama Medical University Department of 2nd Internal Medicine

maekita@wakayama-med.ac.jp+81-73-447-2300

Outcome results