Learning Curve and Preliminary Experience with da Vinci-Assisted Laparoscopic Radical Prostatectomy
Walter Artibani, S. Fracalanza, Stefano Cavalleri, Massimo Iafrate, Maurizio Aragona, Giacomo Novara, Marina Paola Gardiman, Vincenzo Ficarra
- Year
- 2008
- Citations
- 88
Abstract
OBJECTIVE: To report our initial experience in the treatment of prostate cancer with robotic-assisted laparoscopic radical prostatectomy (RALP), evaluating our results in terms of learning curve, postoperative outcomes and positive surgical margins. MATERIAL AND METHODS: From April 2005 to February 2006, a single surgeon performed 41 RALP using the da Vinci robot (Intuitive Surgical, Inc., Sunnyvale, Calif., USA). Clinical and pathological data were collected prospectively and analyzed by a researcher from outside our clinic. The main perioperative parameters assessed were the following: operative time, blood loss, transfusion rate, conversion rate, intra- and postoperative complications, hospitalization time, catheterization time, and positive surgical margin rate. To evaluate the learning curve, patients were stratified into three groups: from case 1 to 10 (group 1), from case 11 to 20 (group 2), and from case 21 to 41 (group C). RESULTS: Median operative time was 210 min. Mean blood loss was 400 ml, with 9.8% of the patients receiving blood transfusions. Conversion to open surgery occurred in 2 cases (4.9%), while 4 postoperative complications (9.7%) were reported. Median times of hospitalization and catheterization were 7 days. Positive surgical margins were detected in 26.8% of the cases (6.9% among pT2 patients). Operative time (p < 0.001), blood loss (p = 0.02), transfusion rate (p = 0.006), and postoperative complication rates (p = 0.03) reduced along the learning curve. CONCLUSION: RALP is a feasible and reproducible technique, with a short learning curve and low perioperative complication rate. Even during the initial phase of the learning curve, good results were obtained with regard to postoperative complications and oncological outcome.
Keywords
Related papers
Robots and Jobs: Evidence from US Labor Markets
Daron Acemoğlu, Pascual Restrepo
2019
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Leigh R. Hochberg, Daniel Bacher, Beata Jarosiewicz +8 more
2012
Campbell-Walsh urology
Alan J. Wein editor-in-chief
2012
Stroke rehabilitation
Peter Langhorne, Julie Bernhardt, Gert Kwakkel
2011