Development and Prospective Validation of a Digital Pathology-based Artificial Intelligence Diagnostic Model for Pan-cancer Lymphatic Metastasis
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
10,000 participants
Jul 26, 2024
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria2
- Patients with cancer, undergoing radical tumor resection and lymph node dissection.
- Patients with complete clinical and pathological information.
Exclusion Criteria1
- The patient refused to participate in this diagnostic test.
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Interventions
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)
View Full Details on ClinicalTrials.gov
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NCT06517979