Robot-Assisted versus Freehand Instrumentation in Short-Segment Lumbar Fusion: Experience with Real-Time Image-Guided Spinal Robot.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 16 10 2019
revised: 15 01 2020
accepted: 16 01 2020
pubmed: 1 2 2020
medline: 9 4 2020
entrez: 1 2 2020
Statut: ppublish

Résumé

Increasing patient demand for minimally invasive surgery and increased payer emphasis on quality-based payment schema have created a need for technologies that provide consistent, high-quality outcomes for patients undergoing spine surgery. Robotic assistance is one such technology. We report our early experience with a novel real-time, image-guided robot system for use in short-segment lumbar fusion in patients diagnosed with degenerative disease. A consecutive series of patients undergoing robot-assisted 1-level or 2-level lumbar fusion procedures were compared with matched controls who underwent freehand surgery. Screw accuracy, intraoperative outcomes, and 30-day outcomes were compared. We identified 56 patients who underwent 1-level or 2-level lumbar fusion during the study period: 28 who underwent robot-assisted procedures and 28 matched controls who underwent freehand instrumentation placement. No significant differences were found between the robot-assisted surgery cohort and the freehand surgery cohort with respect to matched variables. Patients who underwent robot-assisted surgery had less intraoperative blood loss (266.1 ± 236.8 mL vs. 598.8 ± 360.2 mL; P < 0.001) and shorter hospitalizations (3.5 ± 1.8 days vs. 4.5 ± 2.0 days; P = 0.01). No differences were noted in complication rates, 30-day outcomes, or screw accuracy. Profiling of our initial series showed an average reduction in operation duration of 4.6 minutes with each additional case. Patients undergoing robot-assisted fusion experienced less intraoperative blood loss and shorter hospitalizations. The results of this initial experience suggest that an image-guided robotic system may provide similar short-term outcomes compared with freehand instrumentation placement.

Identifiants

pubmed: 32001398
pii: S1878-8750(20)30137-6
doi: 10.1016/j.wneu.2020.01.119
pii:
doi:

Types de publication

Comparative Study Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e635-e645

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Bowen Jiang (B)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Zach Pennington (Z)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Tej Azad (T)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Ann Liu (A)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

A Karim Ahmed (AK)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Corinna C Zygourakis (CC)

Department of Neurosurgery, Stanford University School of Medicine, Stanford, California, USA.

Erick M Westbroek (EM)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Alex Zhu (A)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Ethan Cottrill (E)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Nicholas Theodore (N)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA. Electronic address: theodore@jhmi.edu.

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