RecruitingNCT07551466

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

ConditionEarly Gastric Cancer
InterventionNo intervention (observational study)
StatusRecruiting
Participants100
Est. Completion1 Dec 2026
Last Updated24 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

China
View Registry Entry

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