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Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis
Technological advancements, particularly in the realm of augmented reality (AR), may facilitate more accurate and precise pedicle screw placement. AR integrates virtual data into the operator’s real-world view, allowing for the visualization of patient-specific anatomy and navigated trajectories. We...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649145/ https://www.ncbi.nlm.nih.gov/pubmed/37959207 http://dx.doi.org/10.3390/jcm12216741 |
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author | Pahwa, Bhavya Azad, Tej D. Liu, Jiaqi Ran, Kathleen Liu, Connor J. Tracz, Jovanna Sattari, Shahab Aldin Khalifeh, Jawad M. Judy, Brendan F. Bydon, Ali Witham, Timothy F. |
author_facet | Pahwa, Bhavya Azad, Tej D. Liu, Jiaqi Ran, Kathleen Liu, Connor J. Tracz, Jovanna Sattari, Shahab Aldin Khalifeh, Jawad M. Judy, Brendan F. Bydon, Ali Witham, Timothy F. |
author_sort | Pahwa, Bhavya |
collection | PubMed |
description | Technological advancements, particularly in the realm of augmented reality (AR), may facilitate more accurate and precise pedicle screw placement. AR integrates virtual data into the operator’s real-world view, allowing for the visualization of patient-specific anatomy and navigated trajectories. We aimed to conduct a meta-analysis of the accuracy of pedicle screw placement using AR-based systems. A systematic review of the literature and meta-analysis was performed using the PubMed/MEDLINE database, including studies reporting the accuracy of pedicle screw placement using AR. In total, 8 studies with 163 patients and 1259 screws were included in the analysis. XVision (XVS) was the most commonly used AR system (595 screws) followed by the Allura AR surgical navigation system (ARSN) (462 screws). The overall accuracy was calculated as 97.2% (95% CI 96.2–98.1% p < 0.001). Subgroup analysis revealed that there was no statistically significant difference in the accuracy rates achieved by XVS and Allura ARSN (p = 0.092). AR enables reliable, accurate placement of spinal instrumentation. Future research efforts should focus on comparative studies, cost effectiveness, operative time, and radiation exposure. |
format | Online Article Text |
id | pubmed-10649145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106491452023-10-25 Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis Pahwa, Bhavya Azad, Tej D. Liu, Jiaqi Ran, Kathleen Liu, Connor J. Tracz, Jovanna Sattari, Shahab Aldin Khalifeh, Jawad M. Judy, Brendan F. Bydon, Ali Witham, Timothy F. J Clin Med Systematic Review Technological advancements, particularly in the realm of augmented reality (AR), may facilitate more accurate and precise pedicle screw placement. AR integrates virtual data into the operator’s real-world view, allowing for the visualization of patient-specific anatomy and navigated trajectories. We aimed to conduct a meta-analysis of the accuracy of pedicle screw placement using AR-based systems. A systematic review of the literature and meta-analysis was performed using the PubMed/MEDLINE database, including studies reporting the accuracy of pedicle screw placement using AR. In total, 8 studies with 163 patients and 1259 screws were included in the analysis. XVision (XVS) was the most commonly used AR system (595 screws) followed by the Allura AR surgical navigation system (ARSN) (462 screws). The overall accuracy was calculated as 97.2% (95% CI 96.2–98.1% p < 0.001). Subgroup analysis revealed that there was no statistically significant difference in the accuracy rates achieved by XVS and Allura ARSN (p = 0.092). AR enables reliable, accurate placement of spinal instrumentation. Future research efforts should focus on comparative studies, cost effectiveness, operative time, and radiation exposure. MDPI 2023-10-25 /pmc/articles/PMC10649145/ /pubmed/37959207 http://dx.doi.org/10.3390/jcm12216741 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Pahwa, Bhavya Azad, Tej D. Liu, Jiaqi Ran, Kathleen Liu, Connor J. Tracz, Jovanna Sattari, Shahab Aldin Khalifeh, Jawad M. Judy, Brendan F. Bydon, Ali Witham, Timothy F. Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis |
title | Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis |
title_full | Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis |
title_fullStr | Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis |
title_full_unstemmed | Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis |
title_short | Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis |
title_sort | assessing the accuracy of spinal instrumentation using augmented reality (ar): a systematic review of the literature and meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649145/ https://www.ncbi.nlm.nih.gov/pubmed/37959207 http://dx.doi.org/10.3390/jcm12216741 |
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