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

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology400 enrolled

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.

Study Type

OBSERVATIONAL

Enrollment

400

Conditions

Renal Cell Carcinoma (Kidney Cancer)

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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.

Locations (1)

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

Wuhan, Hubei, China

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

Overview

Conditions

Eligibility

Locations (1)

Outcomes

Primary Outcomes

Central Contacts