The CT-based Deep Learning Model Predicts Complications in Partial Nephrectomy
NCT06876584 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1474
Last updated 2025-03-14
Summary
The investigators combine radiomics and deep learning to analyze the lesions more thoroughly, aiming for a more accurate prediction of complications in partial nephrectomy, and compare this approach with traditional models.
Conditions
- Renal Cell Carcinoma (RCC)
- Renal Cyst
Sponsors & Collaborators
-
Shanghai Zhongshan Hospital
collaborator OTHER -
Minhang Hospital, Fudan University
collaborator UNKNOWN -
Xuhui Central Hospital, Shanghai
collaborator OTHER -
Du Lingzhi
lead OTHER
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-06-01
- Primary Completion
- 2024-12-31
- Completion
- 2025-02-28
Countries
- China
Study Locations
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