AI-based diagnostic model for detecting lymphatic metastasis in cancer
Official title: Development and Prospective Validation of a Digital Pathology-based Artificial Intelligence Diagnostic Model for Pan-cancer Lymphatic Metastasis
Run by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · NCT06517979 · Data updated 2026-11-12
This study is testing a new AI tool to see if it can better detect cancer spread to lymph nodes compared to the usual methods used by doctors.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Status | Recruiting |
| Started | July 26, 2024 |
| Main results expected | June 30, 2027 |
| Study ends | June 30, 2027 |
| Registry record updated | November 28, 2025 |
| Trial ID | NCT06517979 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are cancer patients who are undergoing radical tumor resection and lymph node dissection.
✕Probably not a fit
Patients who refuse to participate in the diagnostic test will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to develop and validate an artificial intelligence (AI) diagnostic model for detecting lymphatic metastasis in cancer patients. It will compare the performance of the AI model against traditional pathological evaluations conducted by pathologists to assess improvements in diagnostic accuracy and efficiency. The study involves collecting and digitizing pathological slides from patients who have undergone cancer surgery, allowing the AI to analyze these images and generate diagnostic results. The goal is to enhance the clinical workflow and reduce missed diagnoses of lymph node metastasis.
Why it matters
Potential benefit: If successful, this AI model could significantly improve the accuracy of lymph node metastasis detection, leading to better treatment decisions and outcomes for cancer patients.
How similar studies have gone: Other studies have shown promise in using AI for diagnostic purposes in pathology, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with cancer, undergoing radical tumor resection and lymph node dissection. * Patients with complete clinical and pathological information. Exclusion Criteria: * The patient refused to participate in this diagnostic test.
Where it's running
-
Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China Recruiting
Study contacts
- Study coordinator: Lin Tianxin, Ph.D
- Email: lintx@mail.sysu.edu.cn
- Phone: 13724008338, China
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.