Robotic-assisted sacrocolpopexy: Technique and learning curve

Mohamed N. Akl, Jaime Long, Dobie L. Giles, Jeffrey L. Cornella, Paul D. Pettit, Anita H. Chen, Paul M. Magtibay

Research output: Contribution to journalArticle

115 Scopus citations

Abstract

Background: Laparoscopic sacrocolpopexy (LSCP) offers a minimally invasive approach for treating vaginal vault prolapse. The Da Vinci robotic surgical system may decrease the difficulty of the procedure. The objective of this study was to describe the surgical technique of robotic-assisted sacrocolpopexy (RASCP) and evaluate its feasibility, safety, learning curve, and perioperative complications. Methods: Eighty patients underwent RASCP between November 2004 and June 2007. Robotic dissection of the planes between the bladder and vagina anteriorly and between the vagina and rectum posteriorly was performed. A peritoneal incision was made to expose the sacral promontory and extended down to the vaginal apex. A Y-shaped mesh was sutured to the anterior and posterior surfaces of the vagina. The tail end of the mesh was sutured to the sacral promontory. Intracorporeal knot tying was used in all sutures. The peritoneal incision was closed to cover the mesh using a running suture. Results: Mean operative time was 197.9 [standard deviation (SD) 66.8] min. After completion of the first ten cases, mean operative time decreased by 25.4% [64.3 min, 95% confidence interval (CI) 16.1-112.4 min, p < 0.01]. Two (2.5%) patients had injury to the bladder, one (1.2%) patient had a small bowel injury, and one (1.2%) patient had a ureteric injury. Postoperatively, five (6%) patients developed vaginal mesh erosion, one (1.2%) patient developed a pelvic abscess, and one (1.2%) patient had postoperative ileus. Four (5%) cases were converted to laparotomy. Mean follow-up period was 4.8 months (range 1-24 months). Conclusions: RASCP is a feasible procedure with acceptable complication rates and short learning curve.

Original languageEnglish (US)
Pages (from-to)2390-2394
Number of pages5
JournalSurgical endoscopy
Volume23
Issue number10
DOIs
Publication statusPublished - Jan 1 2009

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Surgery

Cite this

Akl, M. N., Long, J., Giles, D. L., Cornella, J. L., Pettit, P. D., Chen, A. H., & Magtibay, P. M. (2009). Robotic-assisted sacrocolpopexy: Technique and learning curve. Surgical endoscopy, 23(10), 2390-2394. https://doi.org/10.1007/s00464-008-0311-4