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Updated: Mar 3, 2026

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A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
Published on: May 11, 2020
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Initial academic experience and learning curve with robotic spine instrumentation
Timur M Urakov1, Ken Hsuan-Kan Chang1, S Shelby Burks1
1Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida.
Neurosurgical Focus
|May 3, 2017
Summary
This study found that robot-assisted spine surgery is feasible for neurosurgical trainees, with no significant difference in screw placement speed based on experience. Efficiency improved as more cases were performed.
Area of Science:
- Neurosurgery
- Robotics in Medicine
- Spinal Instrumentation
Background:
- Current robotic systems primarily assist with pedicle screw insertion in spine surgery.
- Evaluating robotic feasibility in an academic setting with resident involvement is crucial for training and adoption.
Purpose of the Study:
- To assess the feasibility and usability of robot-assisted pedicle instrumentation by neurosurgical residents and fellows in an academic environment.
- To evaluate the impact of trainee experience and case volume on the efficiency and accuracy of robot-assisted screw placement.
Main Methods:
- The Renaissance Guidance System was utilized for planning and executing pedicle screw placement in both open and percutaneous spine surgeries.
- Data on screw placement time, fluoroscopy duration, screw breaches, and complications were collected and analyzed retrospectively.
- Postoperative CT scans were used to assess the accuracy of screw placement.
Main Results:
- A total of 306 pedicle screws were placed in 30 patients using robotic guidance.
- No significant difference in screw placement time was observed between junior residents and senior residents/fellows (4.4 min/screw vs. 4.02 min/screw).
- Spine-dedicated residents showed a trend towards faster screw placement (3.84 min/screw) compared to non-dedicated residents (4.5 min/screw).
Conclusions:
- Robot-assisted pedicle instrumentation is feasible for neurosurgical trainees in an academic setting.
- While experience level did not significantly impact speed, a trend towards improved efficiency with increased case volume was noted.
- This study represents the first reported academic experience with robot-assisted spine instrumentation, highlighting potential pitfalls and areas for further investigation.

