2023-Sustainable Industrial Processing Summit
SIPS2023 Volume 11. Intl. Symp on Technological Innovations in Medicine
| Editors: | F. Kongoli, F. Murad, T. Yoshikawa, J.R. Ribas, D. Joseph, N. Tran, S. Hirano |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2023 |
| Pages: | 126 pages |
| ISBN: | 978-1-989820-92-6 (CD) |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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AUGMENTED REALITY IN NEUROSURGERY: A NEW PARADIGM FOR TRAINING
Brandon Lucke-Wold 1;1UNIVERSITY OF FLORIDA, ., United States;
Type of Paper: Regular
Id Paper: 425
Topic: 65
Abstract:
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.