Cervical spondylotic myelopathy and radiculopathy: a stepwise approach and comparative analysis of surgical outcomes: a narrative review of recent literature

颈椎病性脊髓病和神经根病:分步治疗方法及手术结果比较分析:近期文献综述

阅读:1

Abstract

Selecting the optimal surgical treatment for multilevel cervical spondylotic myelopathy and radiculopathy significantly affects symptom improvement, postoperative prognosis, and quality of life. Proper patient selection and precise surgical execution are crucial for achieving successful outcomes, considering the favorable natural course of cervical radiculopathy. Several factors must be considered, including the number of affected segments, spinal alignment, kyphosis degree, stiffness, and surgeon expertise, when determining the surgical approach for cervical spondylotic myelopathy. An anterior approach is commonly used in cases that involve fewer than three segments with mild kyphosis, whereas posterior laminoplasty or anterior cervical discectomy and fusion (ACDF) are effective for cases with more than three segments with maintained lordosis. Both the degree of stiffness and spinal cord compression need to be considered for cases with kyphotic deformity. ACDF may be suitable when anterior structures are the primary source of compression and mild kyphosis is present. The decision between laminoplasty or laminectomy and fusion depends on the kyphosis degree for multilevel compression with kyphosis. An evaluation of cervical rigidity is required for severe kyphosis, and posterior laminectomy and fusion may be effective for flexible kyphosis, whereas a staged posterior-anterior-posterior approach may be required for rigid kyphosis to address both deformity and neural compression. This review summarizes recent research and presents illustrative cases of optimal surgical decision-making for various cervical spondylotic radiculopathy and myelopathy presentations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。