Application of Radiomics-based AI Models in Predicting Clinical Outcome of Patients With Renal Cell Carcinoma After Surgical Treatment
Recruiting now
Conditions studied: Renal Cell Carcinoma (Kidney Cancer)
In brief
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.
Key facts
- Study ID
- NCT07118813
- Run by
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
- People needed
- 400
- Starts
- 2025-08-01
- Expected to finish
- 2026-08-01
- Last updated by the study team
- 2025-08-12
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Patients were treated for renal cell carcinoma in Wuhan Union Hospital from August 2025 to August 2026;
- Aged > 18 years old;
- At least one abdominal CT scan before treatment;
- Tissue biopsy pathological examination confirmed the diagnosis of renal cell carcinoma.
You may not qualify if…
- Poor image quality;
- Incomplete clinical data or loss of follow-up;
- Presence of another primary malignancy other than renal cell carcinoma;
- Unclear pathological diagnosis.
Where it is running
- Union Hospital,Tongji Medical College,Huazhong University of Science and Technology — Wuhan, Hubei, China (enrolling)
Full record on ClinicalTrials.gov
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