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Updated: Feb 3, 2026

Retzius-Sparing Robot-Assisted Radical Prostatectomy
Published on: May 19, 2022
The Learning Curve Does Not Affect Positive Surgical Margin Status in Robot-Assisted Laparoscopic Prostatectomy.
Ekrem Islamoglu1, Kaan Karamik2, Cagatay Ozsoy2
1University of Health Sciences, Antalya Training and Research Hospital, Antalya, Turkey. meislamoglu@gmail.com.
Robot-assisted laparoscopic prostatectomy (RALP) requires at least 50 cases for surgeons to achieve proficiency. While surgeon experience impacts perioperative outcomes, the learning curve (LC) did not significantly affect positive surgical margins in RALP.
Area of Science:
- Urology
- Surgical Oncology
- Robotic Surgery
Background:
- Robot-assisted laparoscopic prostatectomy (RALP) is a common procedure for prostate cancer.
- Understanding the learning curve (LC) is crucial for optimizing surgical outcomes and patient safety.
Purpose of the Study:
- To evaluate the oncologic outcomes of RALP.
- To determine the impact of the surgeon's learning curve on oncological results.
Main Methods:
- 111 patients underwent RALP by a single surgeon.
- Learning curve analyzed using the moving average method, classifying patients into two groups (1-50 and 51-111 cases).
- Compared positive surgical margins (PSM), extracapsular invasion (ECI), operation times, hospitalization duration, and complications (Clavien system).
Main Results:
- The learning curve stabilized between cases 51-60.
- Positive surgical margin rates decreased from 36% (Group 1) to 18% (Group 2) (p=0.032).
- Extracapsular invasion was significantly higher in Group 1 (56.5%) vs. Group 2 (29.5%) (p=0.005). Operation time and hospitalization duration were reduced post-LC.
- 10% of patients experienced complications, with 0.9% requiring surgical intervention.
Conclusions:
- At least 50 RALP cases are necessary for experienced surgeons to achieve proficiency.
- Surgeon experience influences perioperative variables but not positive surgical margin status in RALP.
- RALP demonstrates favorable oncologic outcomes and a manageable learning curve.
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