AI-Based Risk Prediction Model for Upper Digestive Tract Cancer
Starting soon
Conditions studied: Gastric Cancer (GC), Premalignant Lesion, Gastric Intestinal Metaplasia, Atrophic Gastritis, Dysplasia Stomach, Esophageal Cancer (EsC)
In brief
Upper digestive tract cancers are often preceded by pre-malignant lesions, but there is limited evidence regarding optimal risk prediction models and screening strategies for disease progression and cancer development. This prospective multicenter cohort study aims to establish a longitudinal database integrating clinical information, endoscopic findings, pathology, genetics, epigenetics, and gastrointestinal microbiota data from subjects undergoing upper digestive tract endoscopy. The study will develop explainable artificial intelligence (AI)-based risk prediction models to identify factors associated with disease progression, treatment response, and cancer development. Participants will be followed longitudinally to evaluate changes in lesion severity and clinical outcomes.
Key facts
- Study ID
- NCT07605312
- Run by
- National Taiwan University Hospital
- People needed
- 10000
- Starts
- 2026-05-18
- Expected to finish
- 2030-05-18
- Last updated by the study team
- 2026-05-28
Who can join
Age: 40 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Patients undergoing upper gastrointestinal endoscopy.
- Patients with at least one of the following conditions or indications:
- Previous or current Helicobacter pylori infection (confirmed by serology, histopathology, urea breath test, rapid urease test, or stool antigen test);
- Dyspeptic symptoms;
- Gastroesophageal reflux disease;
- History of oral, oropharyngeal, or hypopharyngeal squamous cell carcinoma;
- Barrett's esophagus;
- Gastric premalignant lesions (intestinal metaplasia or atrophic gastritis);
- Gastric subepithelial lesions.
Full record on ClinicalTrials.gov
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