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Updated: May 10, 2025

Retzius-Sparing Robot-Assisted Radical Prostatectomy
Published on: May 19, 2022
Single-port robotic system - a paradigm shift in robot-assisted radical prostatectomy?
Oleksii Pisotskyi1, Piotr Petrasz1, Piotr Zorga2
1Urology and Urological Oncology Department, Multidisciplinary Regional Hospital, Gorzów Wielkopolski, Poland.
The Da Vinci single-port (SP) system offers a minimally invasive approach to robotic-assisted radical prostatectomy (RARP), potentially reducing surgical trauma. While outcomes are comparable to multi-port systems, mastering the SP system
Area of Science:
- Urology
- Minimally Invasive Surgery
- Surgical Oncology
Background:
- Robotic-assisted radical prostatectomy (RARP) is a standard treatment for prostate cancer.
- Advancements in minimally invasive surgical systems are crucial for improving patient outcomes.
- The Da Vinci single-port (SP) system represents a new frontier in robotic surgery.
Purpose of the Study:
- To evaluate the potential and clinical utility of the Da Vinci SP system in RARP.
- To compare the technical innovations and clinical benefits of the SP system against multi-port (MP) systems.
- To identify challenges and future research directions for SP RARP.
Main Methods:
- A narrative review of studies published between January 2018 and February 2025.
- Searches were conducted on PubMed and Scopus databases.
- Prioritization of studies comparing SP and MP systems for RARP.
Main Results:
- The Da Vinci SP system offers 360° visualization, integrated instruments, and enhanced depth perception.
- Clinical benefits include reduced blood loss, faster recovery, improved cosmesis, and less surgical trauma.
- Oncological and functional outcomes with SP are comparable to MP, though a steeper learning curve exists.
Conclusions:
- The SP system shows promise for enhancing patient care in RARP due to its minimally invasive nature.
- It achieves comparable outcomes to MP systems while uniquely minimizing surgical trauma.
- Overcoming technical challenges and the learning curve is essential for widespread adoption; further research on long-term impact is needed.
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