Evidence Hub

A snapshot into the future of image-guided surgery for renal cancer

E. Checcucci, D. Amparore, G. Volpi, F. Porpiglia

Asian Journal of Urology, 2022

7 citations

Abstract

Robot-assisted partial nephrectomy (RAPN) is certainly one of the most fascinating and complex urological procedures. This is ascribable to its vast heterogeneity from one case to another, related to patient’s anatomical variability and tumour’s characteristics. Over the last years, with the aim to assist the surgeons in handling ever more difficult lesions (totally endophytic or large volume [1,2]) suitable for RAPN, several technologies were proposed and tested, from preoperative planning to intraoperative assistance or navigation [3]. As already published, the recent advent of high definition three-dimensional (3D) models represents the major innovation in the field of image-guided robotic surgery, potentially changing surgeon’s approach to every single renal mass [4]. In fact, notwithstanding the heterogeneity of the steps of 3D models’ production and the lack of standardization of reconstruction process that lead to a faithful reproduction of the anatomy [5], the 3D spatial visualisation of patient’s anatomy can improve theperceptionof lesion’s complexityby the surgeon [6] with a general simplification of the procedure and a subsequentwider attempt to perform a nephron sparing surgery [7], without compromising oncological and functional outcomes [8]. Furthermore, the possibility to intraoperatively overlap 3D virtual images over the real anatomy allows to obtain an augmented reality (AR)-guided surgery, of which safety, feasibility, and accuracy have already been…

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free