Advancements and Challenges in Computer-Assisted Navigation for Cervical Spine Surgery: A Comprehensive Review of Perioperative Integration, Complications, and Emerging Technologies.

IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Global Spine Journal Pub Date : 2025-09-01 Epub Date: 2025-04-04 DOI:10.1177/21925682251329340
Hania Shahzad, Aziz Saade, Shannon Tse, Samuel Simister, Anthony Viola, Sathish Muthu, Hardeep Singh, Luca Ambrosio, Javad Tavakoli, Sven Yves Vetter, Philip Louie, Samuel Cho, Sangwook Tim Yoon, Amit Jain, Hai Le
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Abstract

Study DesignA narrative review of the current literature on the application of Computer-Assisted Navigation (CAN) in cervical spine surgeries.ObjectiveTo analyze the perioperative integration, types of CAN systems, technical considerations, and clinical applications of CAN in cervical spine surgeries, as well as to assess the associated complications and potential strategies to minimize these risks.MethodsA comprehensive review of published studies between 2015 and 2024 was conducted to evaluate the usage, benefits, and challenges of CAN in cervical spine surgeries. The review covered perioperative integration, system types, complications, and emerging technologies, including augmented reality (AR) and robotics.ResultsThe use of CAN in cervical spine surgeries provides improved accuracy in screw placement and reduced neurovascular complications. However, the review identified several limitations, such as a steep learning curve, cost considerations, and potential inaccuracies related to cervical spine mobility.ConclusionsCAN offers significant benefits in cervical spine surgeries, including enhanced precision and reduced complications. Despite the current limitations, advancements in AR and robotics hold promise for improving the safety and effectiveness of CAN in cervical procedures. The future focus should be on overcoming the existing challenges to increase the adoption of CAN in cervical spine surgeries.

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颈椎外科计算机辅助导航的进展与挑战:围手术期整合、并发症和新兴技术的综合综述。
研究设计对计算机辅助导航(CAN)在颈椎手术中的应用进行综述。目的分析CAN在颈椎手术中的围术期整合、CAN系统类型、技术注意事项及临床应用,并评估相关并发症及降低这些风险的策略。方法对2015年至2024年间发表的研究进行综合回顾,评估CAN在颈椎手术中的使用、益处和挑战。综述涵盖围手术期整合、系统类型、并发症和新兴技术,包括增强现实(AR)和机器人技术。结果CAN在颈椎手术中的应用提高了螺钉置入的准确性,减少了神经血管并发症。然而,该综述发现了一些局限性,如陡峭的学习曲线、成本考虑以及与颈椎活动相关的潜在不准确性。结论scan在颈椎手术中具有明显的优势,包括提高手术精度和减少并发症。尽管目前存在局限性,但增强现实技术和机器人技术的进步有望提高CAN在宫颈手术中的安全性和有效性。未来的重点应该是克服现有的挑战,以增加颈椎手术中CAN的采用。
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来源期刊
Global Spine Journal
Global Spine Journal Medicine-Surgery
CiteScore
6.20
自引率
8.30%
发文量
278
审稿时长
8 weeks
期刊介绍: Global Spine Journal (GSJ) is the official scientific publication of AOSpine. A peer-reviewed, open access journal, devoted to the study and treatment of spinal disorders, including diagnosis, operative and non-operative treatment options, surgical techniques, and emerging research and clinical developments.GSJ is indexed in PubMedCentral, SCOPUS, and Emerging Sources Citation Index (ESCI).
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