Fluoroscopy time analysis of a prospective, multi-centre study comparing robotic- and fluoroscopic-guided placement of percutaneous pedicle screw instrumentation for short segment minimally invasive lumbar fusion surgery

Aria M. Jamshidi, Dustin H. Massel, Jason I. Liounakos, Zmira Silman, Christopher R. Good, Samuel R. Schroerlucke, Andrew Cannestra, Victor Hsu, Jae Lim, Faissal Zahrawi, Pedro M. Ramirez, Thomas M. Sweeney, Michael Y. Wang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: As minimally invasive spine surgery becomes more widespread, concerns regarding radiation exposure to surgeons and patients alike have become a growing concern. Robotic guidance has been developed as a way to increase the accuracy of instrumentation while decreasing radiation burden. Methods: A retrospective analysis of a large, multi-centre, prospective study comparing robotic-guided (RG) to fluoroscopic-guided (FG) (Multi-centre, Partially Randomized, Controlled Trial of MIS Robotic vs. Freehand in Short Adult Degenerative Spinal Fusion Surgeries) was performed to evaluate for differences in radiation exposure between study groups. Results: RG was associated with 78.3% (p < 0.001) and 79.8% (p < 0.001) reduction in total and per screw fluoroscopy times, respectively, as compared to FG. RG was also associated with a 50.8% (p < 0.001) reduction in total operative fluoroscopy time. Conclusions: RG was associated with significantly lower fluoroscopy times compared to FG. This suggests that utilization of robotic navigation systems may result in decreased operative radiation exposure, which is a growing concern for surgeons performing minimally invasive spine surgery.

Original languageEnglish (US)
Article numbere2188
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume17
Issue number2
DOIs
StatePublished - Apr 2021

Keywords

  • fluoroscopy
  • lumbar fusion
  • robotic spine surgery

ASJC Scopus subject areas

  • Surgery
  • Biophysics
  • Computer Science Applications

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