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Pecoraro et al. Mini-invasive Surg 2024;8:25                  Mini-invasive Surgery
               DOI: 10.20517/2574-1225.2023.134



               Review                                                                        Open Access



               3D augmented reality-guided robotic partial

               nephrectomy


               Angela Pecoraro 1,2  , Federico Piramide 3,4        , Daniele Amparore 2,3
               1
                Department of Urology, Pederzoli Hospital, Peschiera del Garda, Verona 37019, Italy.
               2
                European Association of Urology (EAU) Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem 30016, the
               Netherlands.
               3
                Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Turin 10043, Italy.
               4
                European Association of Urology Young Academic Urologists Robotic Surgery Working Group, Arnhem 30016, the Netherlands.
               Correspondence to: Dr. Angela Pecoraro, Department of Urology, Pederzoli Hospital, Via Monte Baldo, 24, Verona 37019, Italy.
               E-mail: pecoraroangela@libero.it
               How to cite this article: Pecoraro A, Piramide F, Amparore D. 3D augmented reality-guided robotic partial nephrectomy. Mini-
               invasive Surg 2024;8:25. https://dx.doi.org/10.20517/2574-1225.2023.134

               Received: 10 Dec 2023  First Decision: 13 Jun 2024   Revised: 4 Sep 2024   Accepted: 24 Sep 2024   Published: 2 Nov 2024
               Academic Editor: Richard Naspro  Copy Editor: Pei-Yun Wang  Production Editor: Pei-Yun Wang


               Abstract
               The present study aims to provide a contemporary overview of the use of augmented reality (AR) in robotic renal
               surgery from the renal pedicle management to the demolition and reconstructive phases thanks also to the
               preoperative planning obtained with three-dimensional virtual models (3DVMs). Recently, the increasing use of
               the robotic approach extends the indication to partial nephrectomy also in cases of complex or large renal masses
               and maximizing functional and surgical outcomes. With this goal, new imaging technologies have increased in
               popularity, especially for laparoscopic and robotic approaches. In this scenario, hyper-accuracy 3DVMs of the
               kidney  and  tumor,  based  on  computed  tomography  (CT)  scans,  have  been  developed  as  a  new  tool  for
               preoperative planning and intraoperative surgical navigation via AR technology. However, a standardized
               production process of 3DVMs and dedicated guidelines on their use and application are still needed. A recent
               systematic review and metanalysis has shed light on the impact of 3D models on minimally-invasive nephron-
               sparing surgery (NSS). Specifically, lower rates of global ischemia and collecting system violation were observed
               within AR-robot-assisted partial nephrectomy (RAPN). However, these rates did not translate into significant
               improvements in terms of oncological or functional outcomes. This review provides a contemporary overview of
               the use of AR in robotic renal surgery from the renal pedicle management to the demolition and reconstructive
               phases thanks also to the preoperative planning obtained with 3DVMs.
               Keywords: Nephron-sparing surgery, trifecta, renal cell carcinoma, three-dimensional models






                           © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

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