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Research on real-time diagnosis of esophageal cancer using AI (artificial intelligence).

Research on real-time diagnosis of superficial esophageal cancer using AI (artificial intelligence) diagnosis system. - Research on real-time diagnosis of esophageal cancer using AI (artificial intelligence).

Status
Active, not recruiting
Phases
Phase 2
Study type
Interventional
Source
JPRN
Registry ID
JPRN-jRCTs052200015
Enrollment
550
Registered
2020-05-18
Start date
2020-05-01
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 cancer Esophageal cancer

Interventions

Esophageal diagnostic system by artificial intelligence

Sponsors

Ishihara Ryu
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Past history of head and neck cancer or esophageal cancer 2.No past history of esophagectomy or esophageal chemotherapy or radiation therapy whose irradiation field involved esophagus 3. from 20 years old to 90 years old 4. No organ failure 5.Written informed consent had been obtained

Exclusion criteria

Exclusion criteria: 1.Severe esophageal stricture, which magnifying endoscope can not pass through or which can bleed by passing of endoscope. 2. Antithrombotic medication, which is contraindicated for biopsy in guideline 3. Pregnant women or patients who may be pregnant 4. Inadequate case judged by investigators

Design outcomes

Primary

MeasureTime frame
Accuracy of differential diagnosis for newly detected lesion of esophagus(compared with endoscopists)

Secondary

MeasureTime frame
1. Sensitivity, specificity, positive predictive value, and negative predictive value of differential diagnosis for newly detected esophageal lesion(compared with endoscopists) 2. Adverse events during or within seven days after endoscopy

Contacts

Public ContactRyu Ishihara

Osaka Prefectural Hospital Organization Osaka International Cancer Institute

ryu1486@gmail.com+81-6-6945-1181

Outcome results

None listed

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