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Study identifier: NCT06751498 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Renal Cell Cancer  ·  Sponsor: Shao Pengfei

PhaseN/A
Planned participants300
Who can joinAll sexes, 18 Years to 80 Years
Healthy volunteersNo

About this study

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?

This description comes directly from the study's public registry record.

Talk to the study team

Shao Pengfei, Professor  ·  +8613851925825  ·  spf032@hotmail.com

Miao Haoqi, Postgraduate  ·  +8613276636957  ·  mhq@stu.njmu.edu.cn

Always discuss trial participation with your own doctor first.

Locations (2)

The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)Nanjing, Jiangsu, ChinaRecruiting
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)Nanjing, Jiangsu, ChinaNot Yet Recruiting

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Source record: clinicaltrials.gov/study/NCT06751498