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This is a prospective observational cohort study (AI-Kidney-Prognosis), aiming to non-invasively predict the clinical outcomes in renal cell carcinoma patients after surgical treatment using radiomics-based AI models, thereby assisting clinical decision-making and personalized follow-up strategies.
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| Measure | Description | Time Frame |
|---|---|---|
| Progression-free survival | 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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Patients were treated for renal cell carcinoma
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Lian Yang | Contact | 18986273791 | yanglian@hust.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Union Hospital,Tongji Medical College,Huazhong University of Science and Technology | Recruiting | Wuhan | Hubei | 430000 | China |
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| ID | Term |
|---|---|
| D002292 | Carcinoma, Renal Cell |
| D007680 | Kidney Neoplasms |
| ID | Term |
|---|---|
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D014571 | Urologic Neoplasms |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052801 | Male Urogenital Diseases |
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