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Application of Radiomics-based AI Models in Predicting Clinical Outcome of Patients With Renal Cell Carcinoma After Surgical Treatment

RECRUITINGSponsored by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Actively Recruiting
SponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology
Started2025-08
Est. completion2026-08
Eligibility
Age18 Years+
Healthy vol.Accepted

Summary

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.

Eligibility

Age: 18 Years+Healthy volunteers accepted
Inclusion Criteria:

1. Patients were treated for renal cell carcinoma in Wuhan Union Hospital from August 2025 to August 2026;
2. Aged \> 18 years old;
3. At least one abdominal CT scan before treatment;
4. Tissue biopsy pathological examination confirmed the diagnosis of renal cell carcinoma.

Exclusion Criteria:

1. Poor image quality;
2. Incomplete clinical data or loss of follow-up;
3. Presence of another primary malignancy other than renal cell carcinoma;
4. Unclear pathological diagnosis.

Conditions2

CancerRenal Cell Carcinoma (Kidney Cancer)

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