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Robot-Assisted Lumbar Pedicle Screw Placement Based on 3D Magnetic Resonance Imaging.

Authors :
Altorfer FCS
Burkhard MD
Kelly MJ
Avrumova F
Sneag DB
Chazen JL
Tan ET
Lebl DR
Source :
Global spine journal [Global Spine J] 2024 Feb 07, pp. 21925682241232328. Date of Electronic Publication: 2024 Feb 07.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

Study Design: Human Cadaveric Study.<br />Objective: This study aims to explore the feasibility of using preoperative magnetic resonance imaging (MRI), zero-time-echo (ZTE) and spoiled gradient echo (SPGR), as source data for robotic-assisted spine surgery and assess the accuracy of pedicle screws.<br />Methods: Zero-time-echo and SPGR MRI scans were conducted on a human cadaver. These images were manually post-processed, producing a computed tomography (CT)-like contrast. The Mazor X robot was used for lumbar pedicle screw-place navigating of MRI. The cadaver underwent a postoperative CT scan to determine the actual position of the navigated screws.<br />Results: Ten lumbar pedicle screws were robotically navigated of MRI (4 ZTE; 6 SPGR). All MR-navigated screws were graded A on the Gertzbein-Robbins scale. Comparing preoperative robotic planning to postoperative CT scan trajectories: The screws showed a median deviation of overall 0.25 mm (0.0; 1.3), in the axial plane 0.27 mm (0.0; 1.3), and in the sagittal plane 0.24 mm (0.0; 0.7).<br />Conclusion: This study demonstrates the first successful registration of MRI sequences, ZTE and SPGR, in robotic spine surgery here used for intraoperative navigation of lumbar pedicle screws achieving sufficient accuracy, showcasing potential progress toward radiation-free spine surgery.<br />Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Details

Language :
English
ISSN :
2192-5682
Database :
MEDLINE
Journal :
Global spine journal
Publication Type :
Academic Journal
Accession number :
38324511
Full Text :
https://doi.org/10.1177/21925682241232328