Clinical Trial

The Value of a Convolutional Neural Network-Based Renal Artery Perfusion Model in Predicting Renal Function After Partial Nephrectomy: A Prospective Study

Recruiting
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Summary
The goal of this observational study is to develop a CNN-based machine module to predict postoperative fractional renal function in people who are proposed to undergo partial nephrectomy. The main question it aims to answer is: • Does this machine learning model accurately predict renal function after partial nephrectomy?
Protocol Amendment History 3 amendments
This ClinicalTrials.gov record has been amended 3 times since 2024-12-25; most recent amendment 2025-04-14.
Status change: Not Yet Recruiting → Recruiting 2025-03-16
Trial Details
NCT Number NCT06751498
Lead Sponsor Shao Pengfei
Conditions Renal Cell Cancer
Enrollment 300 participants
Start Date 2025-01-01
Primary Completion 2027-04-01 (estimated)
Study Completion 2028-01-01 (estimated)
Updated on ClinicalTrials.gov 2025-04-17