Augmented Reality in Minimally Invasive Spinal Surgery: A Narrative Review of Available Technology.

Augmented reality Education HoloLens Immersivetouch Minimally invasive spinal surgery Pedicle screw placement xVision spine system

Journal

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

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 07 04 2023
accepted: 08 04 2023
medline: 9 8 2023
pubmed: 15 4 2023
entrez: 14 4 2023
Statut: ppublish

Résumé

Spine surgery has undergone significant changes in approach and technique. With the adoption of intraoperative navigation, minimally invasive spinal surgery (MISS) has arguably become the gold standard. Augmented reality (AR) has now emerged as a front-runner in anatomical visualization and narrower operative corridors. In effect, AR is poised to revolutionize surgical training and operative outcomes. Our study examines the current literature on AR-assisted MISS, synthesizes findings, and creates a narrative highlighting the history and future of AR in spine surgery. Relevant literature was gathered using the PubMed (Medline) database from 1975 to 2023. Pedicle screw placement models were the primary intervention in AR. These were compared to the outcomes of traditional MISS RESULTS: We found that AR devices on the market show promising clinical outcomes in preoperative training and intraoperative use. Three prominent systems were as follows: XVision, HoloLens, and ImmersiveTouch. In the studies, surgeons, residents, and medical students had opportunities to operate AR systems, showcasing their educational potential across each phase of learning. Specifically, one facet described training with cadaver models to gauge accuracy in pedicle screw placement. AR-MISS exceeded free-hand methods without unique complications or contraindications. While still in its infancy, AR has already proven beneficial for educational training and intraoperative MISS applications. We believe that with continued research and advancement of this technology, AR is poised to become a dominant player within the fundamentals of surgical education and MISS operative technique.

Identifiants

pubmed: 37059357
pii: S1878-8750(23)00514-4
doi: 10.1016/j.wneu.2023.04.030
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

35-42

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Noah Pierzchajlo (N)

Mercer University, School of Medicine, Savannah, GA, USA.

Taylor C Stevenson (TC)

Department of Neurosurgery, University of Washington, Seattle, WA, USA. Electronic address: taylorstevenson12@gmail.com.

Huey Huynh (H)

Mercer University, School of Medicine, Savannah, GA, USA.

Jimmy Nguyen (J)

Mercer University, School of Medicine, Savannah, GA, USA.

Samuel Boatright (S)

Mercer University, School of Medicine, Savannah, GA, USA.

Priya Arya (P)

Mercer University, School of Medicine, Savannah, GA, USA.

Sachiv Chakravarti (S)

Johns Hopkins University, Baltimore, MD, USA.

Yusuf Mehrki (Y)

Department of Neurosurgery, University of Florida, Jacksonville, FL, USA.

Nolan J Brown (NJ)

Department of Neurosurgery, University of California Irvine, Orange, CA, USA.

Julian Gendreau (J)

Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA.

Seung Jin Lee (SJ)

Department of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.

Selby G Chen (SG)

Department of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.

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Classifications MeSH