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Retzius-Sparing Robot-Assisted Radical Prostatectomy
Published on: May 19, 2022
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Developing technical expertise in robot-assisted laparoscopic prostatectomy in a moderate-volume center through a
Shieh Ling Bang1, Keng Siang Png1, Yu Yi Yeow1
1Tan Tock Seng Hospital, Singapore, Singapore.
Journal of Robotic Surgery
|September 18, 2016
Summary
A proctor-based team approach improved surgeon competency in robot-assisted laparoscopic prostatectomy (RALP) for prostate cancer. This method yielded excellent oncological and functional outcomes, with 100% biochemical recurrence-free survival and 70% continence rates.
Area of Science:
- Urology
- Surgical Oncology
- Robotic Surgery
Background:
- Robot-assisted laparoscopic prostatectomy (RALP) is a standard treatment for localized prostate cancer.
- Developing surgical expertise in RALP requires structured training and mentorship.
- A proctor-based team approach offers a framework for skill development and outcome standardization.
Purpose of the Study:
- To evaluate the preliminary experience and outcomes of a proctor-based team approach for RALP.
- To assess the impact of this approach on surgeon competency and patient results.
- To establish a learning curve for surgeons performing RALP under expert supervision.
Main Methods:
- A retrospective review of 100 consecutive RALP cases for prostate cancer.
- Data collected from December 2008 to February 2012.
- Prostatectomy performed by a team of five urologists supervised by two fellowship-trained surgeons.
Main Results:
- Mean patient age was 66 years; 82% had cT1c disease.
- Mean operative time: 342 min; mean blood loss: 717 ml.
- Postoperative outcomes included 14% complication rate, 35% positive surgical margins, 100% biochemical recurrence-free survival at 36 months, and 70% continence rate.
Conclusions:
- The proctor-based team approach facilitates continuous improvement in surgeon technical skills.
- This mentorship model leads to favorable oncological and functional outcomes in RALP.
- The approach supports surgeons in mastering RALP and achieving optimal patient results.

