颈椎病神经阻滞引导技术的演进与前沿进展
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1.西安医学院;2.空军军医大学西京医院

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国家自然科学基金面上项目(82371226、81771183);空军军医大学第一附属医院飞行人员颈腰伤病专项研究项目(FXRYJYT03);空军军医大学临床研究一般项目(2022LC2215);空军军医大学西京医院临床研究专项(XJZT24LY16)


Evolution and Frontiers of Guidance Technologies in Cervical Nerve Block for Cervical Spondylosis
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1.Xi'2.'3.an Medical University;4.Xijing Hospital, Air Force Medical University

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    摘要:

    颈椎病由颈椎退行性改变引发,患病率13.76%,60岁以上人群达50%,且呈低龄化趋势。神经阻滞是核心非手术治疗手段,引导技术精准度直接决定疗效与安全性。本文梳理技术演进:传统 X 线 / CT 透视引导的硬膜外阻滞(椎板间、椎间孔入路)及选择性神经根阻滞疗效明确,但存在辐射暴露、药液扩布难监控、并发症风险高问题;超声引导无辐射且实时可视化,提升选择性颈神经根阻滞等操作的安全性与效率,却受深部组织显像不清、硬膜外药液扩散评估不足限制;手术导航、人工智能辅助等新兴技术可实现亚毫米级定位与智能图像分析,为精准治疗提供新路径。未来需优化参数、推进多模态影像融合、积累高级别循证证据,推动治疗向精准化、智能化、个体化发展。

    Abstract:

    Cervical spondylosis, a degenerative condition with a prevalence of 13.76% that affects 50% of the population over 60 years old and is increasingly occurring in younger individuals, relies on nerve block therapy as a core non-surgical treatment whose efficacy and safety are directly determined by the precision of the guidance technique. This article reviews the technical evolution from traditional X-ray/CT-guided epidural blocks (interlaminar and transforaminal approaches) and selective nerve root blocks, which, while therapeutically established, present challenges including radiation exposure, difficult monitoring of drug dispersion, and high complication risks, to ultrasound guidance that offers radiation-free real-time visualization and improves the safety and efficiency of procedures such as selective cervical nerve root blocks, yet remains limited by poor deep tissue imaging and insufficient assessment of epidural drug spread, and further to emerging technologies like surgical navigation and artificial intelligence assistance that enable submillimeter-level positioning and intelligent image analysis, thereby creating new pathways for precision treatment. Future development requires optimized parameters, advancement in multimodal image fusion, and accumulation of high-level evidence to promote treatment toward greater precision, intelligence, and personalization.

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  • 收稿日期:2025-11-27
  • 最后修改日期:2026-01-15
  • 录用日期:2026-05-13
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