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Cancers
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New Insights into Robotic Surgery for Urologic Cancer
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New Insights into Robotic Surgery for Urologic Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 1664

Special Issue Editors

Dr. Neil Mendhiratta

E-Mail Website
Guest Editor
Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
Interests: urologic cancer; kidney tumors; renal masses; invasive surgery
Dr. Michael Whalen

E-Mail Website
Guest Editor
Department of Urology, George Washington Medical Faculty Associates, Washington, DC, USA
Interests: urologic oncology; robotic surgery; prostate cancer; urothelial carcinoma; outcomes research; multimodal therapy; precision oncology; under-served populations; clinical trials; resident robotic simulation

Special Issue Information

Dear Colleagues,

Urology has been an early adopter of robotic surgery since the advent of the technology in the early 2000s. The loss of haptic feedback with the robotic platform has been offset by improvements in 3D magnified visualization and a reduction in intraoperative blood loss, postoperative pain, and hospital length of stay. For many urologic oncological operations, there have even been reports of improved oncological outcomes, such as positive surgical margin rates, and functional outcomes, such as stress urinary incontinence after robotic radical prostatectomy. Since modern Enhanced Recovery After Surgery (ERAS) protocols rely on minimally invasive surgery as the cornerstone of improved postoperative patient outcomes, robotic technology certainly dovetails with this evolution of practice.  Expert surgeons have been able to "push the envelope" further and expand the complexity of patients able to safely undergo robotic procedures, such as partial nephrectomy and radical nephrectomy with IVC thrombectomy.  Unlike many technological innovations in surgery that are ultimately exposed as "fads" without durable patient benefit to justify the increased costs, it is clear that robotics provides the backbone of the surgical armamentarium in contemporary urologic oncology.

This Special Issue invites researchers to submit manuscripts on robotic surgery in urologic cancers. Suggested topics include innovative techniques, new technologies adaptable to the robotic platform, new robotic platforms, the application of robotic surgery to traditionally open procedures (i.e., "pushing the envelope"), the description or atlas of novel surgical techniques, advancements in multi-modal/multidisciplinary care, artificial intelligence (AI) to improve surgeon training and techniques, advancements in efficient resident training/coaching, and the economics of robotic surgery implementation and maintenance, especially in the context of increased non-urologic robotic usage by other surgical specialties.

Dr. Neil Mendhiratta
Dr. Michael Whalen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urologic oncology
  • genitourinary cancers
  • robotics
  • robotic surgery techniques
  • robotics simulation training
  • resident education
  • artificial intelligence for surgical training
  • surgical coaching
  • economics of robotic surgery
  • surgery financial toxicity

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Published Papers (2 papers)

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Review

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11 pages, 208 KiB  
Review
Narrative Review of Single-Port Surgery in Genitourinary Cancers
by Olamide Omidele, Yuval Elkun, Christopher Connors, Ahmed Eraky and Reza Mehrazin
Cancers 2025, 17(3), 334; https://doi.org/10.3390/cancers17030334 - 21 Jan 2025
Cited by 1 | Viewed by 832
Abstract
Background: The da Vinci single-port (SP) platform is emerging as the latest innovation in minimally invasive surgery and its utilization in treating urologic malignancies continues to expand. Methods: A search was conducted in PubMed, MEDLINE, and ScienceDirect. The final set includes 40 academic [...] Read more.
Background: The da Vinci single-port (SP) platform is emerging as the latest innovation in minimally invasive surgery and its utilization in treating urologic malignancies continues to expand. Methods: A search was conducted in PubMed, MEDLINE, and ScienceDirect. The final set includes 40 academic articles. Results: Research on single-port surgery for genitourinary cancer is still an emerging topic. We divided the topic into the following categories: radical prostatectomy, radical cystectomy, nephrectomy, and nephroureterectomy. Conclusions: The single-port platform provides urologists with another tool to tackle more complex surgical cases and pathologies with the added improvements of decreased length of stay and increased pain tolerance for patients. Full article
(This article belongs to the Special Issue New Insights into Robotic Surgery for Urologic Cancer)

Other

Jump to: Review

16 pages, 573 KiB  
Systematic Review
Learning Curves in Robotic Urological Oncological Surgery: Has Anything Changed During the Last Five Years?
by Theodoros Tokas, Charalampos Mavridis, Athanasios Bouchalakis, Chrisoula Maria Nakou and Charalampos Mamoulakis
Cancers 2025, 17(8), 1334; https://doi.org/10.3390/cancers17081334 - 15 Apr 2025
Viewed by 341
Abstract
Background: Despite numerous studies assessing LCs in urological surgical oncology, high-quality evidence and a fully structured curriculum are missing. We aimed to systematically search and review the available literature on the LCs of robot-assisted surgery in urological cancers. Methods: Medline was systematically searched [...] Read more.
Background: Despite numerous studies assessing LCs in urological surgical oncology, high-quality evidence and a fully structured curriculum are missing. We aimed to systematically search and review the available literature on the LCs of robot-assisted surgery in urological cancers. Methods: Medline was systematically searched up to December 2024 to retrieve studies following the Preferred Reporting Items reporting on LC in robot-assisted radical prostatectomy (RARP), robot-assisted radical cystectomy (RARC), robot-assisted radical and partial nephrectomy (RARN, RAPN), and robot-assisted radical nephroureterectomy (RANU). The results of the last five years were then compared to those of the previous years. Results: In total, 82 studies were identified, 47 of which were for prostatectomy, 9 of which were for the last 5 years. Eighteen studies referred to partial-nephrectomy, seven over the previous 5 years. Finally, 16 studies referred to radical cystectomy, 7 over the previous five years. For radical prostatectomy, LC was based on operative time (OT), estimated blood loss (EBL), length of hospital stays, complication rate, positive surgical margin (PSM), biochemical recurrence (BCR), continence, and potency with ranges of 100–400, 90–290, 200, 15–250, 50–300, 30–250, 200–500 and 200–300 cases, respectively. For partial nephrectomy, the LC was based on OT, EBL, length of hospital stay, complication rate, warm ischemia time (WIT), and trifecta, with unclear ranges for the first three categories and 20–50, 26–140, and 50–77 cases, respectively, for the rest. Finally, for radical cystectomy, the LC was based on OT, EBL, length of hospital stay, complication rate, PSM, and lymph node yield, with ranges 20–75, 88, 40–198, 16–100, no difference, and 30–50 cases, respectively. We could not identify any study assessing the LCs in RARN and RANU. Conclusions: Robot-assisted surgery does not have a standard definition of LC regardless of the type of operation, which causes heterogeneity between the studies. Nevertheless, LCs appear to be steep and continuous. Training curriculums are essential to optimize outcomes and prepare new surgeons. Full article
(This article belongs to the Special Issue New Insights into Robotic Surgery for Urologic Cancer)
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