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A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
Published on: May 11, 2020
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Combining Engineering Precision with Clinical Relevance: A Novel Dual Framework for Assessing Pedicle Screw Accuracy
Arnaud Delafontaine1,2, Olivier Cartiaux3, Bernard G Francq4
1CIAMS, Université Paris-Saclay, 91404 Orsay, France.
Journal of Clinical Medicine
|March 28, 2026
Summary
A new dual-metric framework accurately assesses pedicle screw placement accuracy in spine surgery. This system combines coaxiality and pedicle wall distance (dpw) for improved surgical feedback and safety.
Area of Science:
- Spine Surgery
- Surgical Accuracy Metrics
- Biomedical Engineering
Background:
- Accurate pedicle screw placement is crucial in spine surgery to prevent complications like neurological injury and ensure construct stability.
- Existing methods for assessing screw placement accuracy have limitations in providing direct, quantitative, and clinically actionable feedback.
- Malpositioned pedicle screws can lead to severe patient harm and compromise surgical outcomes.
Purpose of the Study:
- To develop and validate a dual quantitative framework for assessing pedicle screw placement accuracy.
- To combine coaxiality (trajectory alignment) and pedicle wall distance (dpw, minimal distance to cortex) into a novel assessment tool.
- To compare these metrics between senior surgeons and residents to evaluate the impact of surgical experience.
Main Methods:
- Eight operators performed 240 pedicle screw insertions on synthetic spine models using freehand, CBCT-assisted, and navigation-assisted techniques.
- Predefined trajectories were compared to actual screw positions using sub-millimetric precision digitization.
- Coaxiality, dpw, and various error metrics were computed; dpw was validated against established CBCT-based classifications (Gertzbein, Heary).
Main Results:
- Coaxiality demonstrated robustness as an engineering metric, correlating significantly with entry point, target point, and orientation angle errors.
- The pedicle wall distance (dpw) metric showed near-perfect agreement with CBCT grading (Kappa=0.86), offering interpretable, millimetric feedback and detecting breaches missed by qualitative assessments.
- While senior surgeons showed minor advantages in target point and orientation errors, dpw and entry point errors did not significantly differ between experience levels.
Conclusions:
- The developed dual-metric framework, combining coaxiality and dpw, effectively bridges engineering principles with intraoperative clinical applicability.
- Coaxiality is suitable for reproducible research, while dpw provides actionable surgical feedback, enhancing the evaluation of pedicle screw placement.
- This quantitative framework offers a standardized method for assessing screw accuracy, potentially improving surgical safety, training, and patient outcomes.
Keywords:
coaxialitycone beam computed tomographypedicle screw accuracypedicle wall distancespine surgerysurgical navigation
