The additional effect of AI support system to detect esophageal cancer -exploratory randomized control trial
Not Applicable
Recruiting
- Conditions
- esophageal cancer
- Registration Number
- JPRN-UMIN000039924
- Lead Sponsor
- The Cancer Institute Hospital of Japanese Foundation for Cancer Research
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 300
Inclusion Criteria
Not provided
Exclusion Criteria
Past history of surgery or radiation therapy for esophagus. Severe stenosis in esophagus. Hypersensitivity for iodine. Contraindication for biopsy with anticoaglant therapy. Infectious disease to treat systemically. Pregnancy or lactating. Mental disorder or dementia.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Improvement of detection rate of esophageal cancer with AI support system in less experienced endoscopists.
- Secondary Outcome Measures
Name Time Method Improvement of detection rate of esophageal cancer with AI support system in experienced endoscopists. Improvement of detection rate of esophageal cancer with AI support system in both experienced and less experienced endoscopists. Diagnostic accuracy of esophageal cancer. Accuracy of predicting invasion depth of esophageal cancer. Examination time for esophagus. Adverse event rate.