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Development and Prospective Validation of a Digital Pathology-based Artificial Intelligence Diagnostic Model for Pan-cancer Lymphatic Metastasis
Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Summary
The goal of this diagnostic test is to develop an artificial intelligence (AI)-based pan-cancer universal diagnostic model for detecting pathological lymph node metastasis (LNM), and prospectively evaluate its apllication value in the real-world clinical practice. Investigators will compare the diagnostic performance (sensitivity, specificity, etc.) of the AI model and routine pathological report issued by pathologists, to see if the AI model can improve the clinical workflow of pathological evaluation of cancer LNM in in the real world.
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
10000
Start Date
2024-07-26
Completion Date
2027-06-30
Last Updated
2025-11-28
Healthy Volunteers
No
Conditions
Interventions
Artificial intelligence (AI)-based diagnostic model
Collect pathological slides of resected lymph nodes of the enrolled patients. Digitise these slides into whole-slide images (WSIs). Analyze the WSIs using the AI model to generate diagnostic results (with or without lymphatic metastasis). No intervention to patients would be performed in this diagnostic test study.
Locations (1)
Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China