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

NCT06751498 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2025-04-17

No results posted yet for this study

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?

Conditions

  • Renal Cell Cancer

Sponsors & Collaborators

  • Shao Pengfei

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-01
Primary Completion
2027-04-01
Completion
2028-01-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06751498 on ClinicalTrials.gov