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?
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
people with surgically unresectable lesions
people with Abnormal preoperative renal function, eGFR(estimated by CKD-EPI)<90ml/min/1.73m2
people who receive preoperative molecular targeted therapy, immunotherapy, chemotherapy
people with any contraindications to surgery
people with localized renal tumors scheduled for partial nephrectomy
Cohort
Prospective
Not listed
GFR of ipsilateral and contralateral kidneys
volume of ipsilateral kidney
Postoperative total renal function(eGFR)
Click on the lead sponsor to view all of their trials.
Shao Pengfei
Lead sponsor
The First Affiliated Hospital with Nanjing Medical University
Sponsor institution
