OBJECTIVE: Increasing patient demand for minimally invasive surgery and increased payer emphasis on quality-based payment schema have created a need for technologies that provide consistent, high-quality outcomes for patients undergoing spine surgery. Robotic assistance is one such technology. We report our early experience with a novel real-time, image-guided robot system for use in short-segment lumbar fusion in patients diagnosed with degenerative disease. METHODS: A consecutive series of patients undergoing robot-assisted 1-level or 2-level lumbar fusion procedures were compared with matched controls who underwent freehand surgery. Screw accuracy, intraoperative outcomes, and 30-day outcomes were compared. RESULTS: We identified 56 patients who underwent 1-level or 2-level lumbar fusion during the study period: 28 who underwent robot-assisted procedures and 28 matched controls who underwent freehand instrumentation placement. No significant differences were found between the robot-assisted surgery cohort and the freehand surgery cohort with respect to matched variables. Patients who underwent robot-assisted surgery had less intraoperative blood loss (266.1 ± 236.8 mL vs. 598.8 ± 360.2 mL; P < 0.001) and shorter hospitalizations (3.5 ± 1.8 days vs. 4.5 ± 2.0 days; P = 0.01). No differences were noted in complication rates, 30-day outcomes, or screw accuracy. Profiling of our initial series showed an average reduction in operation duration of 4.6 minutes with each additional case. CONCLUSIONS: Patients undergoing robot-assisted fusion experienced less intraoperative blood loss and shorter hospitalizations. The results of this initial experience suggest that an image-guided robotic system may provide similar short-term outcomes compared with freehand instrumentation placement.
OBJECTIVE: Increasing patient demand for minimally invasive surgery and increased payer emphasis on quality-based payment schema have created a need for technologies that provide consistent, high-quality outcomes for patients undergoing spine surgery. Robotic assistance is one such technology. We report our early experience with a novel real-time, image-guided robot system for use in short-segment lumbar fusion in patients diagnosed with degenerative disease. METHODS: A consecutive series of patients undergoing robot-assisted 1-level or 2-level lumbar fusion procedures were compared with matched controls who underwent freehand surgery. Screw accuracy, intraoperative outcomes, and 30-day outcomes were compared. RESULTS: We identified 56 patients who underwent 1-level or 2-level lumbar fusion during the study period: 28 who underwent robot-assisted procedures and 28 matched controls who underwent freehand instrumentation placement. No significant differences were found between the robot-assisted surgery cohort and the freehand surgery cohort with respect to matched variables. Patients who underwent robot-assisted surgery had less intraoperative blood loss (266.1 ± 236.8 mL vs. 598.8 ± 360.2 mL; P < 0.001) and shorter hospitalizations (3.5 ± 1.8 days vs. 4.5 ± 2.0 days; P = 0.01). No differences were noted in complication rates, 30-day outcomes, or screw accuracy. Profiling of our initial series showed an average reduction in operation duration of 4.6 minutes with each additional case. CONCLUSIONS:Patients undergoing robot-assisted fusion experienced less intraoperative blood loss and shorter hospitalizations. The results of this initial experience suggest that an image-guided robotic system may provide similar short-term outcomes compared with freehand instrumentation placement.
Authors: Jason I Liounakos; Vignessh Kumar; Aria Jamshidi; 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 Journal: J Robot Surg Date: 2021-01-01
Authors: Martin H Pham; Vrajesh J Shah; Luis Daniel Diaz-Aguilar; Joseph A Osorio; Ronald A Lehman Journal: Eur Spine J Date: 2021-10-01 Impact factor: 3.134
Authors: Nathan J Lee; Ian A Buchanan; Venkat Boddapati; Justin Mathew; Gerard Marciano; Paul J Park; Eric Leung; Avery L Buchholz; John Pollina; Ehsan Jazini; Colin Haines; Thomas C Schuler; Christopher R Good; Joseph M Lombardi; Ronald A Lehman Journal: J Orthop Surg Res Date: 2021-05-12 Impact factor: 2.359