You have accessJournal of UrologyCME1 Apr 2023V05-06 3D AUGMENTED REALITY TECHNOLOGY FOR IDENTIFICATION OF NEOPLASTIC VENOUS THROMBUS DURING ROBOTIC RADICAL NEPHRECTOMY FOR RCC Daniele Amparore, Federico Piramide, Enrico Checcucci, Alberto Piana, Gabriele Volpi, Paolo Verri, Michele Sica, Mariano Burgio, Giovanni Busacca, Martina Mandaletti, Andrea Bellin, Matteo Manfredi, Cristian Fiori, and Francesco Porpiglia Daniele AmparoreDaniele Amparore More articles by this author , Federico PiramideFederico Piramide More articles by this author , Enrico CheccucciEnrico Checcucci More articles by this author , Alberto PianaAlberto Piana More articles by this author , Gabriele VolpiGabriele Volpi More articles by this author , Paolo VerriPaolo Verri More articles by this author , Michele SicaMichele Sica More articles by this author , Mariano BurgioMariano Burgio More articles by this author , Giovanni BusaccaGiovanni Busacca More articles by this author , Martina MandalettiMartina Mandaletti More articles by this author , Andrea BellinAndrea Bellin More articles by this author , Matteo ManfrediMatteo Manfredi More articles by this author , Cristian FioriCristian Fiori More articles by this author , and Francesco PorpigliaFrancesco Porpiglia More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003263.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Notwithstanding the increasing of earlier diagnosis, a 6% of renal cell carcinoma (RCC) patients still are diagnosed with a neoplastic thrombus at the level of renal vein or inferior vena cava (IVC). For many years those renal tumors have been treated with open surgery, but with the recent technological development (laparoscopic and robotic surgery) surgeons decided to embark in this challenging procedures with the aim of reducing morbidity and hospitalization without impairing the oncological and perioperative safety. To optimize the intraoperative outcomes a correct estimation of neoplastic thrombus location is essential both in planning the surgical strategy and during the procedure itself. Hence some ancillary technologies such intraoperative ultrasound have been tested to assist surgeon during the intervention. During these last years 3D Augmented reality (AR) guidance has been reported to be a useful tool to correctly identify renal tumor location and assist surgeon during the interventions, especially in case of endophytic or posterior masses, which are therefore “hidden” inside or behind the healthy parenchyma. With the aim to give a contribution in this field, we tested 3D AR guidance during robot-assisted radical nephrectomy (RARN) with tumor thrombi in renal vein and IVC. METHODS: This is a pilot study aiming to explore the safety and feasibility of 3D AR guidance during RARN for tumors with neoplastic thrombi (levels 0-I). From November 2020 all patients scheduled for RARN due to non-metastatic RCC with level 0-I venous thrombus were enrolled. All patients underwent a four-phase contrast-enhanced CT, in order to create the 3D models which were visualized as AR images inside the robotic console. During surgery, AR system was performed overlapping the 3D virtual model over the real anatomy in real time thanks the tile pro technology of Da Vinci Surgical Console. A dedicated assistant performed the hand-assisted overlapping using a 3D mouse. With the AR technology it was possible to hide some elements of the 3D virtual model, from the kidney parecnhyma to the caval wall, increasing the surgeon’s perception of the extension of the thrombus. Perioperative and pathological data were collected and analyzed. RESULTS: 5 patients were prospectively enrolled. Level 0 thrombus was recorded in 3 patients, two patient had level 1 thrombus. Mean lesions size was 75.6 (+21.3) mm. Mean operative time was 123 min (+15 min) with mean IVC clamping time of 9.4 min (+6.8). Mean Estimated blood loss were 750 ml (+150). During the intervention the AR system allowed the surgeon to precisely estimate the correct location of thrombus in all the cases, driving to a more awareness of the surgical strategy. Moreover, no intra- or postoperative complications (>2 according to Clavien-Dindo) were recorded. CONCLUSIONS: In our preliminary experience 3D AR guidance seem to be safe and feasible in correctly estimate the thrombus limits, and able to drive surgeon towards the correct surgical strategy. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e425 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Daniele Amparore More articles by this author Federico Piramide More articles by this author Enrico Checcucci More articles by this author Alberto Piana More articles by this author Gabriele Volpi More articles by this author Paolo Verri More articles by this author Michele Sica More articles by this author Mariano Burgio More articles by this author Giovanni Busacca More articles by this author Martina Mandaletti More articles by this author Andrea Bellin More articles by this author Matteo Manfredi More articles by this author Cristian Fiori More articles by this author Francesco Porpiglia More articles by this author Expand All Advertisement PDF downloadLoading ...
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