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Clinical Trial Summary

The goal of this clinical trial is to evaluate peri and post-operative outcomes as well as long-term survival of 3D IGRAPN compared to conventional Robot-Assisted Partial Nephrectomy (RAPN) for moderate and highly complex renal tumors. The main questions aim to answer: - peri-operative complications - oncological safety - long term renal function Participants will be asked to do undergo 3D-IGRAPN. Researchers will compare 3D-IGRAPN to RAPN to see if peri-operative outcomes are better in the experimental group.


Clinical Trial Description

Robot-assisted partial nephrectomy (RAPN) is the standard treatment for localized kidney tumors. New 3D modeling and reconstruction technologies have enabled the development of real time imageguided surgery using virtual reality (VR). In view of advances in artificial intelligence and surface recognition based on deep-learning, augmented reality (AR) by merging a 3D reconstructed virtual image onto the real per-operative view represents the next step in image-guided surgery. 3D IG-RAPN using Synapse 3D (Fujifilm) and DaVinci Tile-Pro display (Intuitive Surgical) vs conventional RAPN without 3D navigation in 12 high-volume urological centers from the UroCCR Network. Outcoume : Primary endpoint is a composite validated score (TRIFECTA) evaluating peri-operative complications as well as oncological safety and long-term renal function preservation. Secondary endpoints assess long-term survival, ergonomics and surgeon satisfaction. A medico-economic evaluation will be performed. Methodology: ACCURATE is a nation-wide, single-blind, multicentric, prospective randomized controlled trial enrolling 694 patients with a single complex renal mass, defined as RENAL NS≥7. Randomization (1:1) between the experimental and the conventional group will take place on day of inclusion and will be stratified by center. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05572216
Study type Interventional
Source University Hospital, Grenoble
Contact Jean-Alexandre LONG, Pr
Phone 0476767642
Email jalong@chu-grenoble.fr
Status Not yet recruiting
Phase N/A
Start date December 2022
Completion date November 2027

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