Augmented Reality in Neurosurgery: A New Paradigm for Training.

augmented reality cranial neurosurgery machine learning neuro-oncology neurosurgery neurosurgical training neurovascular surgery spine surgery

Journal

Medicina (Kaunas, Lithuania)
ISSN: 1648-9144
Titre abrégé: Medicina (Kaunas)
Pays: Switzerland
ID NLM: 9425208

Informations de publication

Date de publication:
26 Sep 2023
Historique:
received: 21 08 2023
revised: 23 09 2023
accepted: 24 09 2023
medline: 30 10 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: epublish

Résumé

Augmented reality (AR) involves the overlay of computer-generated images onto the user's real-world visual field to modify or enhance the user's visual experience. With respect to neurosurgery, AR integrates preoperative and intraoperative imaging data to create an enriched surgical experience that has been shown to improve surgical planning, refine neuronavigation, and reduce operation time. In addition, AR has the potential to serve as a valuable training tool for neurosurgeons in a way that minimizes patient risk while facilitating comprehensive training opportunities. The increased use of AR in neurosurgery over the past decade has led to innovative research endeavors aiming to develop novel, more efficient AR systems while also improving and refining present ones. In this review, we provide a concise overview of AR, detail current and emerging uses of AR in neurosurgery and neurosurgical training, discuss the limitations of AR, and provide future research directions. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), 386 articles were initially identified. Two independent reviewers (GH and AC) assessed article eligibility for inclusion, and 31 articles are included in this review. The literature search included original (retrospective and prospective) articles and case reports published in English between 2013 and 2023. AR assistance has shown promise within neuro-oncology, spinal neurosurgery, neurovascular surgery, skull-base surgery, and pediatric neurosurgery. Intraoperative use of AR was found to primarily assist with surgical planning and neuronavigation. Similarly, AR assistance for neurosurgical training focused primarily on surgical planning and neuronavigation. However, studies included in this review utilize small sample sizes and remain largely in the preliminary phase. Thus, future research must be conducted to further refine AR systems before widespread intraoperative and educational use.

Identifiants

pubmed: 37893439
pii: medicina59101721
doi: 10.3390/medicina59101721
pmc: PMC10608758
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Grace Hey (G)

College of Medicine, University of Florida, Gainesville, FL 32610, USA.

Michael Guyot (M)

College of Medicine, University of Florida, Gainesville, FL 32610, USA.

Ashley Carter (A)

Eastern Virginia Medical School, Norfolk, VA 23507, USA.

Brandon Lucke-Wold (B)

Department of Neurosurgery, University of Florida, Gainesville, FL 32610, USA.

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