Feasibility and perioperative outcomes of robotic-assisted surgery in the management of recurrent ovarian cancer: a multi-institutional study. Academic Article uri icon

Overview

abstract

  • OBJECTIVES: Minimally invasive surgery for recurrent ovarian cancer is generally not performed. The aim of this study was to assess the feasibility and surgical outcomes of robotic-assisted surgery in the management of recurrent ovarian cancer. METHODS: Eligible patients included those with confirmed recurrent ovarian cancer amenable to surgical resection and in which a complete resection was thought to be feasible with the use of the robotic platform. Patients with evidence of carcinomatosis were not considered for a robotic approach. Clinical and pathologic data were abstracted from the medical records. Appropriate statistical tests were performed using SPSS statistical software program (SPSS 20.0 Inc., Chicago, IL). RESULTS: A total of 48 patients were identified. Thirty-six (75%) patients had a recurrent mass or masses isolated to one anatomic region (pelvis or abdomen). Conversion to laparotomy was necessary in 4 (8.3%) cases. In cases not requiring conversion to laparotomy, the median operative time, EBL, and length of stay were 179.5 min, 50 cc, and 1 day, respectively. An optimal debulking was achieved in 36 (82%) cases. Complications occurred in 6 (13.6%) cases. The median operative time, EBL, length of stay, and complications were all statistically significantly lower in the cases not converted to laparotomy compared to those that were (p<0.001). CONCLUSIONS: This study suggests that select patients with recurrent ovarian cancer in the absence of carcinomatosis may be candidates for secondary surgical cytoreduction via a robotic approach. Surgical and postoperative outcomes appear to be favorable compared to reports of laparotomy in recurrent ovarian cancer.

publication date

  • May 16, 2014

Research

keywords

  • Neoplasm Recurrence, Local
  • Ovarian Neoplasms
  • Robotics

Identity

Scopus Document Identifier

  • 84905565122

Digital Object Identifier (DOI)

  • 10.1016/j.ygyno.2014.05.007

PubMed ID

  • 24844594

Additional Document Info

volume

  • 134

issue

  • 2