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Updated: Mar 23, 2026

Retzius-Sparing Robot-Assisted Radical Prostatectomy
Published on: May 19, 2022
Robot-assisted laparoscopic radical prostatectomy using modular training programme in a private hospital.
Handoo Rhee1, Jason Paterdis2, Peter Heathcote2
1Greenslopes Private Hospital, Greenslopes, Australia. handoorhee@gmail.com.
A new robotic fellowship model effectively trains surgeons in radical prostatectomy without compromising patient safety or operating time. This modular approach ensures adequate training and efficient procedures in a private hospital setting.
Area of Science:
- Urology
- Surgical Education
- Robotic Surgery
Background:
- Robotic-assisted laparoscopic radical prostatectomy (RALRP) is a complex procedure.
- Effective fellowship training models are crucial for surgeon competency.
- Balancing patient safety, training, and efficiency in private hospital settings presents unique challenges.
Purpose of the Study:
- To evaluate a novel 13-step modular robotic fellowship training program for radical prostatectomy.
- To assess the impact of this program on patient safety, surgical outcomes, and training efficiency.
- To demonstrate the feasibility of implementing such a program in a private hospital.
Main Methods:
- A prospective study involving 64 patients undergoing RALRP using a 13-step modular training program.
- Comparison with a control group of 64 patients operated on by a mentoring surgeon prior to the program.
- Analysis of key metrics: console time, total operating time, blood loss, positive surgical margin rate, and postoperative complications.
Main Results:
- No statistically significant difference in total operating time, blood loss, or positive surgical margin rates between the groups.
- A marginal difference in mean console time (p=0.02) was observed, but overall efficiency was maintained.
- Trainees successfully completed modular training steps while maintaining surgical momentum.
Conclusions:
- A comprehensive modular training program for robotic radical prostatectomy can be successfully implemented in a private hospital.
- This model effectively balances patient safety, surgical time efficiency, and adequate surgeon training.
- The findings support the adoption of structured, modular fellowship programs for complex robotic procedures.
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