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ROBOTICS Robotic Partial Nephrectomy Is the New Gold Standard

By: Jennifer Linehan, MD, Providence Saint John’s Cancer Institute, Santa Monica, California; Clayton Stephen Lau, MD, City of Hope, Duarte, California | Posted on: 20 Feb 2024

Robotics has revolutionized urologic surgery for the last 2 decades, including partial nephrectomy (PN). For small renal masses, both the AUA and National Comprehensive Cancer Network guidelines recommend PN (Figure 1) for all T1 lesions.1,2 Since then, urologists have been chasing the trifecta which includes improving oncologic outcomes, preserving renal function, and avoiding perioperative complications. The technical limitations of laparoscopic PN (LPN) made the trifecta attainable for only highly experienced laparoscopic surgeons. The first robotic-assisted PN (RAPN) was reported by Gettman et al in 2004.3 Since then, minimally invasive PN has become more prevalent, especially with increased experience in robotic surgery leading many surgeons across the world to now treat clinical T2 and T3 lesions with RAPN. Another potentiating factor for RAPN becoming the standard of care is education. Residents and fellows are proficient in much of the procedure for RAPN prior to graduation. One study showed that RAPN can safely be taught in a stepwise standardized procedure and has no negative effect on reaching the trifecta during the training.4

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Figure 1. Robotic renorrhaphy. A, 2-layer closure. B, sliding renorrhaphy technique. Used with permission from Dr Clayton Stephen Lau.

The Complexity of Renal Mass Management

The paradigm shifts in the AUA guidelines to expand the role for PN over radical nephrectomy (RN) pushed the evolution of RAPN. The AUA guidelines have been dedicated to avoiding the overuse of RN but maintaining safe oncologic practices. As the field became committed to nephron-sparing surgery, so did the desire to achieve this with minimally invasive surgery. Robotic surgery shortened the learning curve and facilitated greater uptake of minimally invasive nephron-sparing surgery in otherwise complex renal masses which traditionally underwent RN. While robotics offered improvements to renal surgery, there was concern that technology was driving therapeutic management. While the number of patients on active surveillance increased, so did RAPN. Figure 2 from Shah et al displays the shift to RAPN was greater than that of LPN and active surveillance.5 This was balanced by studies that showed RAPN carried low morbidity, and no study to date has shown improved overall survival of active surveillance vs PN.6

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Figure 2. Shifts to robotic renal surgery. ABL indicates ablative therapy; AS, active surveillance; LPN, laparoscopic partial nephrectomy; NT, no treatment; OPN, open partial nephrectomy; ORN, open radical nephrectomy; RPN, robot-assisted partial nephrectomy; RRN, robotic radical nephrectomy. Reprinted with permission from Shah et al, J Urol. 2018;200(5):981-988.5

Advantages of RAPN

One of the most comprehensive reviews by Cacciamani et al looked at both open PN (OPN) and LPN vs RAPN and showed warm ischemia time was less in OPN, while hospital stay, readmission rates, transfusions, and complications were all decreased in RAPN. As part of this assessment, a meta-analysis of over 51 studies showed RAPN had shorter warm ischemia time, fewer complications, less conversion to open surgery, decreased positive margins, fewer transfusions, and improved renal function over LPN.7 Another large, prospective, multicenter trial demonstrated superiority of RAPN over LPN and OPN. While this study was primarily focused on how resection technique affected surgical margins, the secondary outcomes unequivocally demonstrated that surgical approach greatly impacted achieving the PN trifecta. And again, RAPN outperformed both OPN and LPN.8

Bigger, Bolder, Better?

As surgeons became more experienced in RAPN, resection of pT2 and pT3 masses became more popular. This was fueled by the addition of improved HD robotic ultrasound capability, 3D imaging reconstruction, and vascular assessment with indocyanine green. The 3D reconstruction platforms use machine learning to better delineate the relationship between vascular and renal anatomy. Studies using the technology showed shorter operating times, decreased blood loss, and lowered clamp times, even in less experienced surgeons (Figure 3).9 One series by Beksac et al highlighted patients with solitary kidneys and described their experience for PN with clinical T2 and T3 masses. They compared 20 RAPNs and 15 OPNs with a tumor size of 6 cm and a R.E.N.A.L. (for radius, exophytic/endophytic, nearness of tumor to collecting system, anterior/posterior, location relative to polar line) score of 9. Over 80% of the patients in the study had clinical T3 disease. The positive surgical margin rates were 20% vs 15% favoring the RAPN group. Only 1 patient in each group needed temporary dialysis. Major complication rate, readmission rate, and longer hospital stay were significantly higher in patients who had OPN.10 The retrospective study from the Robotic Surgery for Large Mass (ROSULA) collaborative group confirmed feasibility of reaching the PN trifecta with RAPN in complex tumors. All patients had a R.E.N.A.L. nephrotomy score of 10 or greater and localized disease. With 5 years of oncologic follow-up, RAPN vs minimally invasive RN showed comparable cancer-specific survival and overall survival rates (Figure 4; pT3). The group showed no increased complications with RAPN and no compromise of safety outcomes.11

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Figure 3. 3D image of renal mass for surgical planning. Used with permission of the American Medical Association/JAMA Network, from “Effect of 3-dimensional virtual reality models for surgical planning of robotic-assisted partial nephrectomy on surgical outcomes: a randomclinical trial,” Shirk et al, 2(9), 2019; permission conveyed through Copyright Clearance Center, Inc.9

RAPN has taken over as the gold standard for renal mass treatment. Minimally invasive surgery using robotics improved the ability to perform complicated dissection, identify vascular control using indocyanine green, and enhance oncologic outcomes with decreased complications. With the resurgence of retroperitoneal surgery, single-port robotics is next in line for RAPN evolution as it allows access to a small space with ease and has outcomes comparable to multiport surgery.12 Not far behind will be artificial intelligence navigation to the tumor using integrated imaging to both guide the surgeon and prevent error.

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Figure 4. Comparison of radical nephrectomy (RN) vs robotic-assisted partial nephrectomy (PN) pT3. CSS indicates cancer-specific survival; cum, cumulative; OS, overall survival. Reprinted with permission from Cerrato et al, World J Urol. 2023;41(3):747-755; Springer Nature.11

  1. Fong Y. The SAGES Atlas of Robotic Surgery. Springer; 2018:109.
  2. Campbell SC, Clark PE, Chang SS, Karam JA, Souter L, Uzzo RG. Renal mass and localized renal cancer: evaluation, management, and follow-up: AUA guideline: part I. J Urol. 2021;206(2):199-208.
  3. Gettman MT, Blute ML, Chow GK, Neururer R, Bartsch G, Peschel R. Robotic-assisted laparoscopic partial nephrectomy: technique and initial clinical experience with DaVinci robotic system. Urology. 2004;64(5):914-918.
  4. Cerantola Y, Ploussard G, Kassouf W, Anidjar M, Bladou F. Does teaching of robotic partial nephrectomy affect renal function and perioperative outcomes?. Urol Oncol. 2017;35(5):227-233.
  5. Shah PH, Alom MA, Leibovich BC, et al. The temporal association of robotic surgical diffusion with overtreatment of the small renal mass. J Urol. 2018;200(5):981-988.
  6. Bertolo R, Garisto J, Dagenais J, et al. cT1a renal masses less than 2 versus 2 cm or greater managed by robotic partial nephrectomy: a propensity score matched comparison of perioperative outcomes. J Urol. 2019;201(1):56-61.
  7. Cacciamani GE, Medina LG, Gill T, et al. Impact of surgical factors on robotic partial nephrectomy outcomes: comprehensive systematic review and meta-analysis. J Urol. 2018;200(2):258-274.
  8. Minervini A, Campi R, Lane BR, et al. Impact of resection technique on perioperative outcomes and surgical margins after partial nephrectomy for localized renal masses: a prospective multicenter study. J Urol. 2020;203(3):496-504.
  9. Shirk JD, Thiel DD, Wallen EM, et al. Effect of 3-dimensional virtual reality models for surgical planning of robotic-assisted partial nephrectomy on surgical outcomes: a randomized clinical trial. JAMA Netw Open. 2019;2(9):e1911598.
  10. Beksac AT, Okhawere KE, Abou Zeinab M, et al. Robotic partial nephrectomy for management of renal mass in patients with a solitary kidney: can we expand the indication to T2 and T3 disease?. Minerva Urol Nephrol. 2022;74(2):203-208.
  11. Cerrato C, Patel D, Autorino R, et al. Partial or radical nephrectomy for complex renal mass: a comparative analysis of oncological outcomes and complications from the ROSULA (robotic surgery for large renal mass) collaborative group. World J Urol. 2023;41(3):747-755.
  12. Rich JM, Okhawere KE, Nguyen C, et al. Transperitoneal versus retroperitoneal single-port robotic-assisted partial nephrectomy: an analysis from the Single Port Advanced Research Consortium. Eur Urol Focus. 2023;9(6):1059-1064.

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