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Updated: Jan 15, 2026

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
Published on: May 11, 2020
First experience with a novel image guidance technology for posterior pedicle screw fixation: A cadaveric study on
Benno Bullert1, Jula Gierse1, Eric Mandelka1
1BG Klinik Ludwigshafen, Ludwigshafen, Germany.
Purpose:
Minimally invasive pedicle screw insertion relies on imaging techniques due to limited anatomical visualization. A potential solution for intraoperative 3D guidance is using 2D/3D registration algorithms, which align intraoperative 2D X-rays with preoperatively acquired 3D datasets. This study aimed to evaluate the application of a novel 2D/3D image guidance software in posterior fixation with pedicle screws regarding accuracy, speed, and radiation exposure in a realistic clinical setting.
Methods:
Four human cadavers were instrumented with a total of 80 pedicle screws (from T8 to L5) by eight surgeons using 2D/3D image guidance. The surgeons, with varying levels of experience in spine surgery and navigation, utilized the software for the first time. Before the procedures, they underwent a structured one-hour training session. Accuracy, time parameters, and radiation exposure during pedicle screw insertion were assessed.
Results:
All K-wires were inserted correctly, demonstrating precise wire placement, regardless of the surgeons' experience. For pedicle screw placement, the 2D/3D image guidance achieved high accuracy of 95.0%, with no superior or inferior perforations. The mean time for each pedicle screw placement was 7.62 ± 2.83 min, with an average radiation exposure of 1.24 µSv per pedicle screw for the surgeon.
Conclusion:
The use of 2D/3D image guidance in this study demonstrated high precision in the placement of K-wires and pedicle screws. Consequently, 2D/3D image guidance presents a promising tool for both experienced and inexperienced users, facilitating precise 3D guidance of pedicle screws with a standard 2D C-arm.

