The Value of a Renal Artery Perfusion Model Based on Convolutional Neural Network in Predicting Renal Function After Partial Nephrectomy: A Prospective, Single-Center Study
Status: Recruiting
Location: See all (2) locations...
Study Type: Observational
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?
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: f
View:
• people with stage cT1 renal tumors confirmed by preoperative CT or MR
• people who are proposed to undergoing partial nephrectomy
• localized renal tumors without lymph node and distant metastases as defined by NCCN guidelines
• ECOG score of 0 or 1
• Life expectancy greater than 10 years
Locations
Other Locations
China
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
RECRUITING
Nanjing
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
NOT_YET_RECRUITING
Nanjing
Contact Information
Primary
Shao Pengfei, Professor
spf032@hotmail.com
+8613851925825
Backup
Miao Haoqi, Postgraduate
mhq@stu.njmu.edu.cn
+8613276636957
Time Frame
Start Date: 2025-01-01
Estimated Completion Date: 2028-01-01
Participants
Target number of participants: 300
Related Therapeutic Areas
Sponsors
Leads: Shao Pengfei