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Advancing robot-guided techniques in lumbar spine surgery: a systematic review and meta-analysis.

Authors :
Komolafe TE
Zhou L
Zhao W
Guo J
Li Z
Fan Z
Komolafe BF
Wei W
Samuel OW
Source :
Expert review of medical devices [Expert Rev Med Devices] 2024 Aug; Vol. 21 (8), pp. 765-779. Date of Electronic Publication: 2024 Jul 15.
Publication Year :
2024

Abstract

Background: Lumbar spine surgery is a crucial intervention for addressing spinal injuries or conditions affecting the spine, often involving lumbar fusion through pedicle screw (PS) insertion. The precision of PS placement is pivotal in orthopedic surgery. This systematic review compares the accuracy of robot-guided (RG) surgery with free-hand fluoroscopy-guided (FFG), free-hand without fluoroscopy-guided (FHG), and computed tomography image-guided (CTG) techniques for PS insertion.<br />Methods: A systematic search of various databases from 1 January 2013 to 30 December 2023 was conducted following PRISMA guidelines. Primary outcomes, including PS insertion accuracy and breach rate, were analyzed using a random-effects model. Risk of bias was assessed using the Newcastle-Ottawa Scale.<br />Results: The overall accuracy of PS insertion using RG, based on 37 studies involving 3,837 patients and 22,117 PS, is 97.9%, with a breach rate of 0.021. RG demonstrated superior accuracy compared to FHG and CTG, with breach rates of 3.4 and 0.015 respectively for RG versus FHG, and 3.8 and 0.026 for RG versus CTG. Additionally, RG was associated with reduced mean estimated blood loss compared to CTG, indicating improved safety.<br />Conclusions: The RG is associated with enhanced accuracy of PS insertion and reduced breach rates over other methods. However, additional randomized controlled trials comparing these modalities are needed for further validation.<br />Prospero Registration: CRD42023483997.

Details

Language :
English
ISSN :
1745-2422
Volume :
21
Issue :
8
Database :
MEDLINE
Journal :
Expert review of medical devices
Publication Type :
Academic Journal
Accession number :
39007890
Full Text :
https://doi.org/10.1080/17434440.2024.2378080