BACKGROUND: Modern robotic-assist surgical systems have revolutionized stereotaxy for a variety of procedures by increasing operative efficiency while preserving and even improving accuracy and safety. However, experience with robotic systems in deep brain stimulation (DBS) surgery is scarce. OBJECTIVE: To present an initial series of DBS surgery performed utilizing a frameless robotic solution for image-guided stereotaxy, and report on operative efficiency, stereotactic accuracy, and complications. METHODS: This study included the initial 20 consecutive patients undergoing bilateral robot-assisted DBS. The prior 20 nonrobotic, frameless cohort of DBS cases was sampled as a baseline historic control. For both cohorts, patient demographic and clinical data were collected including postoperative complications. Intraoperative duration and number of Microelectrode recording (MER) and final lead passes were recorded. For the robot-assisted cohort, 2D radial errors were calculated. RESULTS: Mean case times (total operating room, anesthesia, and operative times) were all significantly decreased in the robot-assisted cohort (all P-values < .02) compared to frameless DBS. When looking at trends in case times, operative efficiency improved over time in the robot-assisted cohort across all time assessment points. Mean radial error in the robot-assisted cohort was 1.40 ± 0.11 mm, and mean depth error was 1.05 ± 0.18 mm. There was a significant decrease in the average number of MER passes in the robot-assisted cohort (1.05) compared to the nonrobotic cohort (1.45, P < .001). CONCLUSION: This is the first report of application of frameless robotic-assistance with the Mazor Renaissance platform (Mazor Robotics Ltd, Caesarea, Israel) for DBS surgery, and our findings reveal that an initial experience is safe and can have a positive impact on operative efficiency, accuracy, and safety.
BACKGROUND: Modern robotic-assist surgical systems have revolutionized stereotaxy for a variety of procedures by increasing operative efficiency while preserving and even improving accuracy and safety. However, experience with robotic systems in deep brain stimulation (DBS) surgery is scarce. OBJECTIVE: To present an initial series of DBS surgery performed utilizing a frameless robotic solution for image-guided stereotaxy, and report on operative efficiency, stereotactic accuracy, and complications. METHODS: This study included the initial 20 consecutive patients undergoing bilateral robot-assisted DBS. The prior 20 nonrobotic, frameless cohort of DBS cases was sampled as a baseline historic control. For both cohorts, patient demographic and clinical data were collected including postoperative complications. Intraoperative duration and number of Microelectrode recording (MER) and final lead passes were recorded. For the robot-assisted cohort, 2D radial errors were calculated. RESULTS: Mean case times (total operating room, anesthesia, and operative times) were all significantly decreased in the robot-assisted cohort (all P-values < .02) compared to frameless DBS. When looking at trends in case times, operative efficiency improved over time in the robot-assisted cohort across all time assessment points. Mean radial error in the robot-assisted cohort was 1.40 ± 0.11 mm, and mean depth error was 1.05 ± 0.18 mm. There was a significant decrease in the average number of MER passes in the robot-assisted cohort (1.05) compared to the nonrobotic cohort (1.45, P < .001). CONCLUSION: This is the first report of application of frameless robotic-assistance with the Mazor Renaissance platform (Mazor Robotics Ltd, Caesarea, Israel) for DBS surgery, and our findings reveal that an initial experience is safe and can have a positive impact on operative efficiency, accuracy, and safety.
Authors: Amir H Faraji; Vasileios Kokkinos; James C Sweat; Donald J Crammond; R Mark Richardson Journal: Oper Neurosurg (Hagerstown) Date: 2020-09-15 Impact factor: 2.703
Authors: Hemmings Wu; Sarah Adler; Dan E Azagury; Cara Bohon; Debra L Safer; Daniel A N Barbosa; Mahendra T Bhati; Nolan R Williams; Laura B Dunn; Peter A Tass; Brian D Knutson; Maya Yutsis; Ayesha Fraser; Tricia Cunningham; Kara Richardson; Tara L Skarpaas; Thomas K Tcheng; Martha J Morrell; Laura Weiss Roberts; Robert C Malenka; James D Lock; Casey H Halpern Journal: Neurosurgery Date: 2020-11-16 Impact factor: 4.654
Authors: Bina Kakusa; Sabir Saluja; David Y A Dadey; Daniel A N Barbosa; Sandra Gattas; Kai J Miller; Robert P Cowan; Zepure Kouyoumdjian; Nader Pouratian; Casey H Halpern Journal: Front Hum Neurosci Date: 2020-05-15 Impact factor: 3.169