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Updated: Jan 28, 2026

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
Published on: May 11, 2020
Risk factors for robot-assisted spinal pedicle screw malposition
Jia Nan Zhang1, Yong Fan1, Ding Jun Hao2
1Department of Spine Surgery, Hong Hui Hospital, Xi'an Jiaotong University, No. 76 Nanguo Road, Nanshao gate, Xi'an, 710054, Shaan'xi Province, China.
Robot-assisted pedicle screw placement accuracy is improved by identifying and avoiding risk factors like obesity, osteoporosis, and congenital scoliosis. This enhances surgical safety and surgeon confidence during initial use.
Area of Science:
- Spinal Surgery
- Robotics in Medicine
- Orthopedic Surgery
Background:
- Robot-assisted pedicle screw placement accuracy remains a subject of debate.
- Identifying factors influencing screw placement outcomes is crucial for improving surgical results.
Purpose of the Study:
- To determine risk factors associated with unsatisfactory robot-assisted pedicle screw placement.
- To evaluate the accuracy and satisfactory rates of the Renaissance robotic system for pedicle screw insertion.
Main Methods:
- Retrospective analysis of prospective data from 136 robot-assisted pedicle screw placements (874 screws).
- Screws classified using Gertzbein and Robbins criteria (A, B satisfactory; C, D, E unsatisfactory).
- Logistic regression analysis to identify independent risk factors for unsatisfactory placement.
Main Results:
- Overall satisfactory rate was 86.8% (759/874); accuracy rate was 94.4% (759/804).
- Independent risk factors identified: obesity (OR 5.357), osteoporosis (especially severe), vertebral rotation (especially severe), and congenital scoliosis (OR 9.835).
Conclusions:
- Obesity, osteoporosis, and congenital scoliosis are significant risk factors for unsatisfactory robot-assisted pedicle screw placement.
- Surgeons, particularly those new to robotic systems, should consider avoiding cases with identified risk factors to ensure safety and build confidence.
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