REFERENCES
1. Marchioni M, Preisser F, Bandini M, et al. Comparison of partial versus radical nephrectomy effect on other-cause mortality, cancer-specific mortality, and 30-day mortality in patients older than 75 years. Eur Urol Focus 2019;5:467-73.
2. Zini L, Perrotte P, Capitanio U, et al. Radical versus partial nephrectomy: effect on overall and noncancer mortality. Cancer 2009;115:1465-71.
3. Ljungberg B, Albiges L, Abu-Ghanem Y, et al. European association of urology guidelines on renal cell carcinoma: the 2022 update. Eur Urol 2022;82:399-410.
4. Fong KY, Gan VHL, Lim BJH, et al. Off-clamp vs on-clamp robot-assisted partial nephrectomy: a systematic review and meta-analysis. BJU Int 2024;133:375-86.
5. Bertolo R, Autorino R, Simone G, et al. Outcomes of robot-assisted partial nephrectomy for clinical T2 renal tumors: a multicenter analysis (ROSULA Collaborative Group). Eur Urol 2018;74:226-32.
6. Delto JC, Paulucci D, Helbig MW, et al. Robot-assisted partial nephrectomy for large renal masses: a multi-institutional series. BJU Int 2018;121:908-15.
7. Vartolomei MD, Remzi M, Fajkovic H, Shariat SF. Robot-assisted partial nephrectomy mid-term oncologic outcomes: a systematic review. J Clin Med 2022;11:6165.
8. Springer C, Hoda MR, Fajkovic H, et al. Laparoscopic vs open partial nephrectomy for T1 renal tumours: evaluation of long-term oncological and functional outcomes in 340 patients. BJU Int 2013;111:281-8.
9. Mullerad M, Kastin A, Adusumilli PS, Moskovitz B, Sabo E, Nativ O. Comparison of nephron-sparing surgery in central versus peripheral renal tumors. Urology 2005;65:467-72.
10. Qin B, Hu H, Lu Y, et al. Intraoperative ultrasonography in laparoscopic partial nephrectomy for intrarenal tumors. PLoS One 2018;13:e0195911.
11. Checcucci E, Piazza P, Micali S, et al. Three-dimensional model reconstruction: the need for standardization to drive tailored surgery. Eur Urol 2022;81:129-31.
12. Fan G, Li J, Li M, et al. Three-dimensional physical model-assisted planning and navigation for laparoscopic partial nephrectomy in patients with endophytic renal tumors. Sci Rep 2018;8:582.
13. Amparore D, Pecoraro A, Checcucci E, et al. 3D imaging technologies in minimally invasive kidney and prostate cancer surgery: which is the urologists’ perception? Minerva Urol Nephrol 2022;74:178-85.
14. 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.
15. Bertolo R, Kuusk T, Mir MC. Kidney Cancer EAU Edu Platform UROONCO. Three-dimensional models-assisted minimally-invasive partial nephrectomy: looking forward to more evidence. Minerva Urol Nephrol 2023;75:665-6.
16. Porpiglia F, Bertolo R, Checcucci E, et al; ESUT Research Group. Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists’ and patients’ perception. World J Urol 2018;36:201-7.
17. Maddox MM, Feibus A, Liu J, Wang J, Thomas R, Silberstein JL. 3D-printed soft-tissue physical models of renal malignancies for individualized surgical simulation: a feasibility study. J Robot Surg 2018;12:27-33.
18. Fan G, Meng Y, Zhu S, et al. Three-dimensional printing for laparoscopic partial nephrectomy in patients with renal tumors. J Int Med Res 2019;47:4324-32.
19. Yamazaki M, Takayama T, Fujita A, et al. 3D printed kidney model could be an important educational tool for residents. Asian J Endosc Surg 2023;16:197-202.
20. Fujisaki A, Takayama T, Yamazaki M, et al. Utilization of a three-dimensional printed kidney model for favorable TRIFECTA achievement in early experience of robot-assisted partial nephrectomy. Transl Androl Urol 2020;9:2697-704.
21. Moglia A, Ferrari V, Morelli L, Ferrari M, Mosca F, Cuschieri A. A systematic review of virtual reality simulators for robot-assisted surgery. Eur Urol 2016;69:1065-80.
22. Michiels C, Khene ZE, Prudhomme T, et al. 3D-Image guided robotic-assisted partial nephrectomy: a multi-institutional propensity score-matched analysis (UroCCR study 51). World J Urol 2023;41:303-13.
23. Kihara K, Saito K, Komai Y, Fujii Y. Integrated image monitoring system using head-mounted display for gasless single-port clampless partial nephrectomy. Wideochir Inne Tech Maloinwazyjne 2014;9:634-7.
24. Wu X, Jiang C, Wu G, et al. Comparison of three dimensional reconstruction and conventional computer tomography angiography in patients undergoing zero-ischemia laparoscopic partial nephrectomy. BMC Med Imaging 2020;20:47.
25. Ukimura O, Gill IS. Imaging-assisted endoscopic surgery: Cleveland Clinic experience. J Endourol 2008;22:803-10.
26. Li L, Zeng X, Yang C, Un W, Hu Z. Three-dimensional (3D) reconstruction and navigation in robotic-assisted partial nephrectomy (RAPN) for renal masses in the solitary kidney: a comparative study. Int J Med Robot 2022;18:e2337.
27. Porpiglia F, Checcucci E, Amparore D, et al. Three-dimensional augmented reality robot-assisted partial nephrectomy in case of complex tumours (PADUA ≥10): a new intraoperative tool overcoming the ultrasound guidance. Eur Urol 2020;78:229-38.
28. Teber D, Guven S, Simpfendörfer T, et al. Augmented reality: a new tool to improve surgical accuracy during laparoscopic partial nephrectomy? Preliminary in vitro and in vivo results. Eur Urol 2009;56:332-8.
29. Komai Y, Sakai Y, Gotohda N, Kobayashi T, Kawakami S, Saito N. A novel 3-dimensional image analysis system for case specific kidney anatomy and surgical simulation to facilitate clampless partial nephrectomy. Urology 2014;83:500-6.
30. Amparore D, Piramide F, Verri P, et al. New generation of 3D virtual models with perfusional zones: perioperative assistance for the best pedicle management during robotic partial nephrectomy. Curr Oncol 2023;30:4021-32.
31. Simpfendörfer T, Gasch C, Hatiboglu G, et al. Intraoperative computed tomography imaging for navigated laparoscopic renal surgery: first clinical experience. J Endourol 2016;30:1105-11.
32. Schiavina R, Bianchi L, Chessa F, et al. Augmented reality to guide selective clamping and tumor dissection during robot-assisted partial nephrectomy: a preliminary experience. Clin Genitourin Cancer 2021;19:e149-55.
33. 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.
34. Tzelnick S, Rampinelli V, Sahovaler A, et al. Skull-base surgery-a narrative review on current approaches and future developments in surgical navigation. J Clin Med 2023;12:2706.
35. Shenaq DS, Matros E. Virtual planning and navigational technology in reconstructive surgery. J Surg Oncol 2018;118:845-52.
36. Grauvogel TD, Engelskirchen P, Semper-Hogg W, Grauvogel J, Laszig R. Navigation accuracy after automatic- and hybrid-surface registration in sinus and skull base surgery. PLoS One 2017;12:e0180975.
37. Zhang W, Yin D, Chen X, et al. Morphologic change of in vivo porcine liver under 13 mmHg pneumoperitoneum pressure. Surg Laparosc Endosc Percutan Tech 2021;31:679-84.
38. Okada T, Kawada K, Sumii A, et al. Stereotactic navigation for rectal surgery: comparison of 3-dimensional C-arm-based registration to paired-point registration. Dis Colon Rectum 2020;63:693-700.
39. Chen Y, Li H, Wu D, Bi K, Liu C. Surgical planning and manual image fusion based on 3D model facilitate laparoscopic partial nephrectomy for intrarenal tumors. World J Urol 2014;32:1493-9.
40. 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.
41. Kong SH, Haouchine N, Soares R, et al. Robust augmented reality registration method for localization of solid organs’ tumors using CT-derived virtual biomechanical model and fluorescent fiducials. Surg Endosc 2017;31:2863-71.
42. Joeres F, Mielke T, Hansen C. Laparoscopic augmented reality registration for oncological resection site repair. Int J Comput Assist Radiol Surg 2021;16:1577-86.
43. Wild E, Teber D, Schmid D, et al. Robust augmented reality guidance with fluorescent markers in laparoscopic surgery. Int J Comput Assist Radiol Surg 2016;11:899-907.
44. Kobayashi S, Cho B, Mutaguchi J, et al. Surgical navigation improves renal parenchyma volume preservation in robot-assisted partial nephrectomy: a propensity score matched comparative analysis. J Urol 2020;204:149-56.
45. Puerto-Souza GA, Cadeddu JA, Mariottini GL. Toward long-term and accurate augmented-reality for monocular endoscopic videos. IEEE Trans Biomed Eng 2014;61:2609-20.
46. Roberts S, Desai A, Checcucci E, et al. “Augmented reality” applications in urology: a systematic review. Minerva Urol Nephrol 2022;74:528-37.
47. Jia T, Taylor ZA, Chen X. Long term and robust 6DoF motion tracking for highly dynamic stereo endoscopy videos. Comput Med Imaging Graph 2021;94:101995.
48. Padovan E, Marullo G, Tanzi L, et al. A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery. Int J Med Robot 2022;18:e2387.
49. Su LM, Vagvolgyi BP, Agarwal R, Reiley CE, Taylor RH, Hager GD. Augmented reality during robot-assisted laparoscopic partial nephrectomy: toward real-time 3D-CT to stereoscopic video registration. Urology 2009;73:896-900.
50. Zampokas G, Tsiolis K, Peleka G, Mariolis I, Malasiotis S, Tzovaras D. Real-time 3D reconstruction in minimally invasive surgery with quasi-dense matching. In:2018 IEEE International Conference on Imaging Systems and Techniques (IST); 2018 Oct 16-18; Krakow, Poland. IEEE; 2018. pp. 1-6.
51. Zampokas G, Peleka G, Tsiolis K, Topalidou-Kyniazopoulou A, Mariolis I, Tzovaras D. Real-time stereo reconstruction of intraoperative scene and registration to preoperative 3D models for augmenting surgeons’ view during RAMIS. Med Phys 2022;49:6517-26.
52. Yip MC, Lowe DG, Salcudean SE, Rohling RN, Nguan CY. Tissue tracking and registration for image-guided surgery. IEEE Trans Med Imaging 2012;31:2169-82.
53. Zhang X, Otoo EM, Fan Y, Tao C, Wang T, Rhode K. Autostereoscopic 3D augmented reality navigation for laparoscopic surgery: a preliminary assessment. IEEE Trans Biomed Eng 2023;70:1413-21.
54. Kokko MA, Van Citters DW, Seigne JD, Halter RJ. A particle filter approach to dynamic kidney pose estimation in robotic surgical exposure. Int J Comput Assist Radiol Surg 2022;17:1079-89.
