The goal of this study is to develop a real-time artificial intelligence-driven 3D kidney model to assist robotic or laparoscopic partial nephrectomy:
• Can this AI-powered model optimize the workflow of partial nephrectomy and enhance surgical benefits?
Ages 18-80 years, regardless of gender
Written informed consent obtained from the patient or legally authorized representative after full protocol disclosure
Preoperative imaging (CT/MRI) confirming clinical stage T1a or select T1b renal tumors suitable for partial nephrectomy (R.E.N.A.L. nephrometry score ≤10)
Localized renal tumors without lymph node/distant metastasis per NCCN Guidelines® (v2023)
Multifocal renal tumors (bilateral or unilateral)
Prior systemic anticancer therapy (targeted agents/immunotherapy/chemotherapy) within 6 months
Absolute surgical contraindications (e.g., ASA class ≥IV, uncontrolled coagulopathy)
Intraoperative conversion to radical nephrectomy or open approach
Shao Pengfei
Lead sponsor
The First Affiliated Hospital with Nanjing Medical University
Sponsor institution
Southeast University, China
Collaborator