Joshua Olexa, Brian Shear, Nathan Han, Ashish Sharma, Annie Trang, Kevin Kim, Gary Schwartzbauer, Steven Ludwig, Charles Sansur
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However, advancements in AR technology are needed to increase its adoption by the medical community.</p><p><strong>Methods: </strong>AR technology that uses a fiducial-less registration system was tested in a preclinical cervical spine phantom model study for accuracy during spinal screw placement. A three-dimensional reconstruction of the spine along with trajectory lines was superimposed onto the phantom model using an AR headset. Participants used the AR system to guide screw placement, and post-instrumentation scans were compared for accuracy assessment.</p><p><strong>Results: </strong>Twelve cervical screws were placed under AR guidance. All screws were placed in an acceptable anatomic position. The average distance error for the insertion point was 2.73±0.55 mm, whereas that for the endpoint was 2.71±0.69 mm. The average trajectory angle error for all insertions was 2.69°±0.59°.</p><p><strong>Conclusions: </strong>This feasibility study describes a novel registration approach that superimposes spinal anatomy and trajectories onto the surgeon's real-world view of the spine. These results demonstrate reasonable accuracy in the preclinical model. The results of this study demonstrate that this technology can assist with accurate screw placement. Further investigation using cadaveric and clinical models is warranted.</p>","PeriodicalId":8555,"journal":{"name":"Asian Spine Journal","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11222888/pdf/","citationCount":"0","resultStr":"{\"title\":\"Feasibility of a novel augmented reality overlay for cervical screw placement in phantom spine models.\",\"authors\":\"Joshua Olexa, Brian Shear, Nathan Han, Ashish Sharma, Annie Trang, Kevin Kim, Gary Schwartzbauer, Steven Ludwig, Charles Sansur\",\"doi\":\"10.31616/asj.2023.0404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Study design: </strong>Feasibility study.</p><p><strong>Purpose: </strong>A phantom model was used to evaluate the accuracy of a novel augmented reality (AR) system for cervical screw placement.</p><p><strong>Overview of literature: </strong>The use of navigation systems is becoming increasingly common in spine procedures. 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The average distance error for the insertion point was 2.73±0.55 mm, whereas that for the endpoint was 2.71±0.69 mm. The average trajectory angle error for all insertions was 2.69°±0.59°.</p><p><strong>Conclusions: </strong>This feasibility study describes a novel registration approach that superimposes spinal anatomy and trajectories onto the surgeon's real-world view of the spine. These results demonstrate reasonable accuracy in the preclinical model. The results of this study demonstrate that this technology can assist with accurate screw placement. Further investigation using cadaveric and clinical models is warranted.</p>\",\"PeriodicalId\":8555,\"journal\":{\"name\":\"Asian Spine Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11222888/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Spine Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31616/asj.2023.0404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Spine Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31616/asj.2023.0404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/20 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
摘要
研究设计:可行性研究:目的:使用模型评估新型增强现实(AR)系统在颈椎螺钉置入方面的准确性:导航系统在脊柱手术中的使用越来越普遍。文献概述:导航系统在脊柱手术中的使用越来越普遍。然而,许多因素限制了在脊柱手术中定期和广泛使用导航工具的可行性。AR 是一种新技术,已被证明可在脊柱手术中用作导航工具。然而,AR 技术还需要不断进步,以提高医学界对其的采用率:方法:在临床前颈椎模型研究中测试了使用无靶标注册系统的 AR 技术在脊柱螺钉置入过程中的准确性。使用 AR 头显将脊柱的三维重建和轨迹线叠加到模型上。参与者使用 AR 系统指导螺钉置入,并对仪器置入后的扫描进行比较,以评估准确性:结果:在 AR 的引导下,共放置了 12 颗颈椎螺钉。所有螺钉都放置在可接受的解剖位置。插入点的平均距离误差为(2.73±0.55)毫米,而终点的平均距离误差为(2.71±0.69)毫米。所有插入点的平均轨迹角度误差为 2.69°±0.59°:这项可行性研究描述了一种新颖的配准方法,该方法可将脊柱解剖结构和轨迹叠加到外科医生的脊柱真实视图上。这些结果证明了临床前模型的合理准确性。该研究结果表明,该技术可帮助准确放置螺钉。有必要使用尸体和临床模型进行进一步研究。
Feasibility of a novel augmented reality overlay for cervical screw placement in phantom spine models.
Study design: Feasibility study.
Purpose: A phantom model was used to evaluate the accuracy of a novel augmented reality (AR) system for cervical screw placement.
Overview of literature: The use of navigation systems is becoming increasingly common in spine procedures. However, numerous factors limit the feasibility of regular and widespread use of navigation tools during spine surgery. AR is a new technology that has already demonstrated utility as a navigation tool during spine surgery. However, advancements in AR technology are needed to increase its adoption by the medical community.
Methods: AR technology that uses a fiducial-less registration system was tested in a preclinical cervical spine phantom model study for accuracy during spinal screw placement. A three-dimensional reconstruction of the spine along with trajectory lines was superimposed onto the phantom model using an AR headset. Participants used the AR system to guide screw placement, and post-instrumentation scans were compared for accuracy assessment.
Results: Twelve cervical screws were placed under AR guidance. All screws were placed in an acceptable anatomic position. The average distance error for the insertion point was 2.73±0.55 mm, whereas that for the endpoint was 2.71±0.69 mm. The average trajectory angle error for all insertions was 2.69°±0.59°.
Conclusions: This feasibility study describes a novel registration approach that superimposes spinal anatomy and trajectories onto the surgeon's real-world view of the spine. These results demonstrate reasonable accuracy in the preclinical model. The results of this study demonstrate that this technology can assist with accurate screw placement. Further investigation using cadaveric and clinical models is warranted.