Usefulness of computer-aided detection using artificial intelligence for esophageal squamous cell carcinoma in esophagogastroduodenoscopy

Usefulness of computer-aided detection using artificial intelligence for esophageal squamous cell carcinoma in esophagogastroduodenoscopy - Esophageal AI Study

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000049887

Enrollment

165

Registered

2023-04-01

Start date

2023-04-01

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

esophageal squamous cell carcinoma

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients with early esophageal squamous cell carcinomas or suspected esophageal squamous cell carcinomas Patients scheduled to undergo esophagogastroduodenoscopy at Nagoya University Hospital or participating facilities for the purpose of close examination or endoscopic treatment for early esophageal squamous cell carcinomas or suspected early esophageal squamous cell carcinomas Patients who have given sufficient explanation for participation in this study, and who have given written consent of their own free will based on sufficient understanding.

Exclusion criteria

Exclusion criteria: Patients who are deemed inappropriate as research subjects by the principal investigator Patients who are incapable of consenting Patients who will not be treated at their own institution Patients after radiation or radiochemotherapy for esophageal squamous cell carcinomas, radiation for head and neck cancers, esophagectomy, recurrence after treatment, advanced esophageal cancers, or adenocarcinoma of the esophagus

Design outcomes

Primary

Measure	Time frame
Detection rates of CAD EYE (LCI-CADe and BLI-CADe) for known esophageal squamous cell carcinomas	—

Countries

Japan

Contacts

Public ContactKazuhiro Furukawa

Nagoya University Hospital Department of Gastroenterology and Hepatology

kazufuru@med.nagoya-u.ac.jp052-744-2172

Outcome results