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

NCT ID: NCT07118813

Last Updated: 2025-08-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

400 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-08-31

Study Completion Date

2026-08-31

Brief Summary

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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.

Detailed Description

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Conditions

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Renal Cell Carcinoma (Kidney Cancer)

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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

Wuhan, Hubei, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Lian Yang

Role: CONTACT

18986273791

Facility Contacts

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Lian Yang

Role: primary

18986273791

Other Identifiers

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2025-0672

Identifier Type: -

Identifier Source: org_study_id

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