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 (AI-Kidney-Prognosis)

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07118813

Enrollment

400

Registered

2025-08-12

Start date

2025-08-31

Completion date

2026-08-31

Last updated

2025-08-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Renal Cell Carcinoma (Kidney Cancer)

Brief 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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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.

Design outcomes

Primary

Measure	Time frame
Progression-free survival	1 year

Countries

China

Contacts

Primary ContactLian Yang

yanglian@hust.edu.cn18986273791

Outcome results