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

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

Recruiting
18 years and older
All
Phase N/A

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Overview

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

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.

Study details
    Renal Cell Carcinoma (Kidney Cancer)

NCT07118813

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

8 September 2025

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