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

NCT07118813 | Recruiting

• 1 other identifier: 2025-0672
• Study Type: observational
• Target: 400
• Locations: 1 country
• Sites: 1

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.

Conditions

Renal Cell Carcinoma (Kidney Cancer)

Outcome Measures

Primary Outcomes (1)

• Progression-free survival

  1 year

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients were treated for renal cell carcinoma

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.

Sponsors & Collaborators

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

Study Sites (1)

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

Wuhan, Hubei, 430000, China

RECRUITING

MeSH Terms

Conditions

Carcinoma, Renal Cell; Kidney Neoplasms

Condition Hierarchy (Ancestors)

Adenocarcinoma; Carcinoma; Neoplasms, Glandular and Epithelial; Neoplasms by Histologic Type; Neoplasms; Urologic Neoplasms; Urogenital Neoplasms; Neoplasms by Site; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Kidney Diseases; Urologic Diseases; Male Urogenital Diseases

Central Study Contacts

Lian Yang

CONTACT

18986273791; yanglian@hust.edu.cn

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 5, 2025
• First Posted: August 12, 2025
• Study Start: August 1, 2025
• Primary Completion (Estimated): August 1, 2026
• Study Completion (Estimated): August 1, 2026
• Last Updated: August 12, 2025

Record last verified: 2025-08

Locations

CN (1)