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

JRCT ID: jRCTs052200015

Registered date:18/05/2020

Basic Information

• Recruitment status: Complete
• Health condition(s) or Problem(s) studied: Esophageal cancer
• Date of first enrollment: 01/05/2020
• Target sample size: 550
• Study type: Interventional
• Intervention(s): Esophageal diagnostic system by artificial intelligence

Outcome(s)

• Primary Outcome: Accuracy of differential diagnosis for newly detected lesion of esophagus(compared with endoscopists)

Secondary Outcome

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

Key inclusion & exclusion criteria

• Age minimum: >= 20age old
• Age maximum: <= 90age 11month old
• Gender: Both

Include 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

Exclude 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

Related Information

• Primary Sponsor: Ishihara Ryu