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Using 3D Kidney Model Based on Artificial Intelligence to Assist Partial Nephrectomy: A Prospective Validation Study

Artificial Intelligence-Driven 3D Kidney Model for Real-Time Augmented Reality and Surgical Navigation in Minimally Invasive (Robotic/Laparoscopic) Partial Nephrectomy: A Prospective Validation Study

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07020169
Enrollment
232
Registered
2025-06-13
Start date
2025-05-01
Completion date
2027-03-01
Last updated
2025-06-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Renal Cell Cancer

Keywords

partial nephrectomy, Articicial Intelligence, Intraoperative Real-Time Navigation

Brief summary

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?

Detailed description

This study aims to evaluate the feasibility of the AI-based real-time image-guided kidney model system in optimizing partial nephrectomy workflows. Patients scheduled for laparoscopic or robotic-assisted partial nephrectomy will be randomized to receive either AI-assisted surgical navigation (utilizing intraoperative 3D model overlay with automated registration) or conventional approaches. Comparative metrics will include ischemia time, margin positivity rate, and operative efficiency indices. Findings will inform iterative refinement of the system architecture based on clinical performance feedback.

Interventions

PROCEDUREan AI-based real-time image-guided kidney model system

Use the AI-model to locate kidney and tumour, assisting surgeon with the operation

Sponsors

Southeast University, China
CollaboratorOTHER
Shao Pengfei
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* 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) * Elective minimally invasive partial nephrectomy (laparoscopic/robotic) after comprehensive surgical counseling

Exclusion criteria

* 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 * Postoperative adjuvant therapy during protocol-defined follow-up (12 months) * Major comorbidities (e.g., NYHA class III/IV heart failure, eGFR \<30 mL/min/1.73m²) affecting outcome assessment * Concurrent enrollment in interventional clinical trials * Investigator-determined ineligibility based on risk-benefit analysis

Design outcomes

Primary

MeasureTime frame
Operative TimeIntraoperative

Secondary

MeasureTime frameDescription
Operating Surgeon's Assessmentimmediately after the surgeryScoring for Each Surgery(0-5) by navigation accuracy, image rendering smoothness

Countries

China

Contacts

Primary ContactPengfei Shao, Professor
spf032@hotmail.com+8613851925825
Backup ContactHaoqi Miao, Postgraduate
mhq@stu.njmu.edu.cn+8613276636957

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026