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Page 12 of 12          Pecoraro et al. Mini-invasive Surg 2024;8:25  https://dx.doi.org/10.20517/2574-1225.2023.134

               19.      Smith B, Dasgupta P. 3D printing technology and its role in urological training. World J Urol 2020;38:2385-91.  DOI  PubMed
               20.      Knoedler M, Feibus AH, Lange A, et al. Individualized physical 3-dimensional kidney tumor models constructed from 3-dimensional
                   printers result in improved trainee anatomic understanding. Urology 2015;85:1257-61.  DOI  PubMed
               21.      Bernhard JC, Isotani S, Matsugasumi T, et al. Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient
                   education. World J Urol 2016;34:337-45.  DOI  PubMed  PMC
               22.      Rai A, Scovell JM, Xu A, et al. Patient-specific virtual simulation - a state of the art approach to teach renal tumor localization.
                   Urology 2018;120:42-8.  DOI  PubMed
               23.      Piramide F, Kowalewski KF, Cacciamani G, et al; European Association of Urology Young Academic Urologists and the European
                   Section of Uro-Technology. Three-dimensional model-assisted minimally invasive partial nephrectomy: a systematic review with
                   meta-analysis of comparative studies. Eur Urol Oncol 2022;5:640-50.  DOI  PubMed
               24.      Wang C, Roth HR, Kitasaka T, et al. Precise estimation of renal vascular dominant regions using spatially aware fully convolutional
                   networks, tensor-cut and Voronoi diagrams. Comput Med Imaging Graph 2019;77:101642.  DOI  PubMed
               25.      Amparore D, Piramide F, Checcucci E, et al. Three-dimensional virtual models of the kidney with colored perfusion regions: a new
                   algorithm-based tool for optimizing the clamping strategy during robot-assisted partial nephrectomy. Eur Urol 2023;84:418-25.  DOI
                   PubMed
               26.      Bertolo R, Pecoraro A, Carbonara U, et al; European Association of Urology Young Academic Urologists Renal Cancer Working
                   Group. Resection techniques during robotic partial nephrectomy: a systematic review. Eur Urol Open Sci 2023;52:7-21.  DOI
                   PubMed  PMC
               27.      Minervini A, Carini M. Tumor enucleation is appropriate during partial nephrectomy. Eur Urol Focus 2019;5:923-4.  DOI  PubMed
               28.      Di Maida F, Campi R, Lane BR, et al. Predictors of positive surgical margins after robot-assisted partial nephrectomy for localized
                   renal tumors: insights from a large multicenter international prospective observational project (the surface-intermediate-base margin
                   score consortium). J Clin Med 2022;11:1765.  DOI  PubMed  PMC
               29.      Amparore D, Pecoraro A, Checcucci E, et al. Three-dimensional virtual models’ assistance during minimally invasive partial
                   nephrectomy minimizes the impairment of kidney function. Eur Urol Oncol 2022;5:104-8.  DOI  PubMed
               30.      Crocerossa F, Fiori C, Capitanio U, et al. Estimated glomerular filtration rate decline at 1 year after minimally invasive partial
                   nephrectomy: a multimodel comparison of predictors. Eur Urol Open Sci 2022;38:52-9.  DOI  PubMed  PMC
               31.      Pandolfo SD, Cerrato C, Wu Z, et al. A systematic review of robot-assisted partial nephrectomy outcomes for advanced indications:
                   large tumors (cT2-T3), solitary kidney, completely endophytic, hilar, recurrent, and multiple renal tumors. Asian J Urol 2023;10:390-
                   406.  DOI  PubMed  PMC
               32.      Checcucci E, Amparore D, Volpi G, Porpiglia F. A snapshot into the future of image-guided surgery for renal cancer. Asian J Urol
                   2022;9:201-3.  DOI  PubMed  PMC
               33.      Puliatti S, Eissa A, Checcucci E, et al. New imaging technologies for robotic kidney cancer surgery. Asian J Urol 2022;9:253-62.  DOI
                   PubMed  PMC
               34.      Malkoc E, Ramirez D, Kara O, et al. Robotic and open partial nephrectomy for localized renal tumors larger than 7 cm: a single-center
                   experience. World J Urol 2017;35:781-7.  DOI  PubMed
               35.      Hillyer SP, Bhayani SB, Allaf ME, et al. Robotic partial nephrectomy for solitary kidney: a multi-institutional analysis. Urology
                   2013;81:93-7.  DOI  PubMed
               36.      Zargar H, Bhayani S, Allaf ME, et al. Comparison of perioperative outcomes of robot-assisted partial nephrectomy and open partial
                   nephrectomy in patients with a solitary kidney. J Endourol 2014;28:1224-30.  DOI  PubMed
               37.      Komninos C, Shin TY, Tuliao P, et al. Robotic partial nephrectomy for completely endophytic renal tumors: complications and
                   functional and oncologic outcomes during a 4-year median period of follow-up. Urology 2014;84:1367-73.  DOI  PubMed
               38.      Campi R, Sessa F, Rivetti A, et al. Case report: optimizing pre- and intraoperative planning with hyperaccuracy three-dimensional
                   virtual models for a challenging case of robotic partial nephrectomy for two complex renal masses in a horseshoe kidney. Front Surg
                   2021;8:665328.  DOI  PubMed  PMC
               39.      De Backer P, Van Praet C, Simoens J, et al. Improving augmented reality through deep learning: real-time instrument delineation in
                   robotic renal surgery. Eur Urol 2023;84:86-91.  DOI  PubMed
               40.      Khaddad A, Bernhard JC, Margue G, et al. A survey of augmented reality methods to guide minimally invasive partial nephrectomy.
                   World J Urol 2023;41:335-43.  DOI  PubMed
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