Helicobacter Pylori Infection Clinical Trial
Official title:
Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion: A Multihospital Study
The aim of this diagnostic accuracy study is to evaluate the application of artificial intelligence on the diagnosis of Helicobacter pylori infection and premalignant gastric lesions based on upper endoscopic images. We use techniques of artificial intelligence to analyze the correlation between endoscopic images and urea breath test results/histopathological results.
Status | Recruiting |
Enrollment | 2000 |
Est. completion date | December 31, 2026 |
Est. primary completion date | December 31, 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 20 Years to 80 Years |
Eligibility | Inclusion Criteria: 1. Age 20-80 2. Scheduled urea breath test and endoscopy Exclusion Criteria: 1. History of gastric surgery |
Country | Name | City | State |
---|---|---|---|
Taiwan | Yi-Chia Lee | Taipei |
Lead Sponsor | Collaborator |
---|---|
National Taiwan University Hospital |
Taiwan,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Areas under the ROC curves | Outcomes include the atrophic gastritis, intestinal metaplasia, and Helicobacter pylori infection | Up to 5 years | |
Other | Gastric cancer incidence | New incident gastric cancer | Up to 10 years | |
Primary | Sensitivity to detect premalignant gastric lesions | Outcomes include the atrophic gastritis, intestinal metaplasia, and Helicobacter pylori infection | Up to 5 years | |
Secondary | Specificity to exclude premalignant gastric conditions | Outcomes include the atrophic gastritis, intestinal metaplasia, and Helicobacter pylori infection | Up to 5 years |
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