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Published in: Journal of Robotic Surgery 5/2022

01-12-2021 | Computed Tomography | Original Article

Robotic-guidance allows for accurate S2AI screw placement without complications

Authors: Christopher R. Good, Lindsay D. Orosz, Alexandra E. Thomson, Thomas C. Schuler, Colin M. Haines, Fenil R. Bhatt, David Boyd, Kaitlyn M. Grossman, Rita Roy, Ehsan Jazini

Published in: Journal of Robotic Surgery | Issue 5/2022

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Abstract

The study design is retrospective, multi-surgeon, single-center review. The objective is to evaluate complication rates, revision rates, and accuracy grading for robotic-guided S2 alar-iliac (S2AI) screws. Sixty-five consecutive patients underwent S2AI fixation (118 screws) as part of a posterior spine fusion using robotic-guidance. Screws were placed percutaneously in 14 cases and 51 were placed in an open fashion by three board-certified spine surgeons using the Mazor core technology robotic systems (Mazor X, n = 42; Mazor XSE, n = 23). Medical charts were retrospectively reviewed for revisions and complications. All patients were followed for 90 days or greater. Postoperative CT scans were obtained in 22 of the 51 patients, allowing for 46 screws to be reviewed by an independent neuroradiologist who graded the screws for accuracy. There were no intraoperative or postoperative complications associated with S2AI screw placement. There were no revisions found to be related to the S2AI screw placement. All 46 screws evaluated with postoperative CT scans were reported as being at the highest level of accuracy, grade A, with a breach distance of 0 mm (no breach). The robotic-guided technique for S2AI screw placement is a reliable method to achieving pelvic fixation with low complication and revision rates. In addition, a high degree of accuracy can be achieved without relying on visible and tactile landmarks needed for the freehand technique or the additional radiation associated with fluoroscopic-guidance.
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Metadata
Title
Robotic-guidance allows for accurate S2AI screw placement without complications
Authors
Christopher R. Good
Lindsay D. Orosz
Alexandra E. Thomson
Thomas C. Schuler
Colin M. Haines
Fenil R. Bhatt
David Boyd
Kaitlyn M. Grossman
Rita Roy
Ehsan Jazini
Publication date
01-12-2021
Publisher
Springer London
Published in
Journal of Robotic Surgery / Issue 5/2022
Print ISSN: 1863-2483
Electronic ISSN: 1863-2491
DOI
https://doi.org/10.1007/s11701-021-01345-x

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