Development and Validation of an Explainable Artificial Intelligence Model for Early Gastric Cancer Diagnosis Using Multimodal Endoscopic Imaging
Sponsor: The First Affiliated Hospital of Soochow University
Trial Details
| Condition | Early Gastric Cancer |
| Intervention | No intervention (observational study) |
| Status | Recruiting |
| Participants | 100 |
| Est. Completion | 1 Dec 2026 |
| Last Updated | 24 Apr 2026 |
Primary Outcome
Diagnostic performance of the artificial intelligence model for detecting early gastric cancer
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Age ≥18 years * Suspicious gastric lesions identified on white-light imaging (WLI) * Preoperative biopsy indicating precancerous lesions (dysplasia or intraepithelial neoplasia) or adenocarcinoma, with preoperative magnifying endoscopy with narrow-band imaging (ME-NBI) performed * Patients meeting the absolute indications for endoscopic submucosal dissection (ESD) and who underwent ESD Exclusion Criteria: * Non-adenocarcinoma histological types (e.g., lymphoma) * Patients who did not undergo ME-NBI examination or did not receive ESD * Lesions invading the muscularis propria or deeper layers * Missing or indeterminate postoperative histopathological results
Trial Sites
Countries
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