Department of Neurosurgery, Leeds Teaching Hospital NHS Trust, Leeds General Infirmary, Great George Street, Leeds, LS1 3EX, UK.
Department of Neuroradiology, Leeds Teaching Hospital NHS Trust, Leeds General Infirmary, Great George Street, Leeds, LS1 3EX, UK.
Neuroradiology. 2021 Mar;63(3):305-316. doi: 10.1007/s00234-020-02596-5. Epub 2021 Jan 4.
The study design of this paper is systematic review. The purpose of this review is to evaluate the existing radiological grading systems that are used to assess cervical foraminal stenosis. The importance of imaging the cervical spine using CT or MRI in evaluating cervical foraminal stenosis is widely accepted; however, there is no consensus for standardized methodology to assess the compression of the cervical nerve roots. A systematic search of Ovid Medline databases, Embase 1947 to present, Cinahl, Web of Science, Cochrane Library, ISRCTN and WHO international clinical trials was performed for reports of cervical foraminal stenosis published before 01 February 2020. In collaboration with the University of Leeds, a search strategy was developed. A total of 6952 articles were identified with 59 included. Most of the reports involved multiple imaging modalities with standard axial and sagittal imaging used most. The grading themes that came from this systematic review show that the most mature for cervical foraminal stenosis is described by (Kim et al. Korean J Radiol 16:1294, 2015) and (Park et al. Br J Radiol 86:20120515, 2013). Imaging of the cervical nerve root canals is mostly performed using MRI and is reported using subjective terminology. The Park, Kim and Modified Kim systems for classifying the degree of stenosis of the nerve root canal have been described. Clinical application of these scoring systems is limited by their reliance on nonstandard imaging (Park), limited validation against clinical symptoms and surgical outcome data. Oblique fine cut images derived from three dimensional MRI datasets may yield more consistency, better clinical correlation, enhanced surgical decision-making and outcomes.
这篇论文的研究设计是系统回顾。本次综述的目的是评估现有的用于评估颈椎椎间孔狭窄的放射学分级系统。使用 CT 或 MRI 对颈椎进行影像学检查以评估颈椎椎间孔狭窄的重要性已被广泛接受;然而,对于评估颈椎神经根受压的标准化方法尚未达成共识。我们对 Ovid Medline 数据库、Embase 1947 年至今、Cinahl、Web of Science、Cochrane 图书馆、ISRCTN 和世界卫生组织国际临床试验进行了系统检索,以检索 2020 年 2 月 1 日前发表的有关颈椎椎间孔狭窄的报告。与利兹大学合作制定了检索策略。共确定了 6952 篇文章,其中 59 篇被纳入。大多数报告涉及多种影像学模式,最常使用标准轴位和矢状位成像。本系统综述得出的分级主题表明,颈椎椎间孔狭窄最成熟的分级方法是由(Kim 等人,Korean J Radiol 16:1294, 2015)和(Park 等人,Br J Radiol 86:20120515, 2013)描述的。颈椎神经根管的影像学检查主要使用 MRI 进行,并使用主观术语进行报告。已经描述了用于分类神经根管狭窄程度的 Park、Kim 和改良 Kim 系统。这些评分系统的临床应用受到其对非标准成像的依赖(Park)、对临床症状和手术结果数据的验证有限的限制。来自三维 MRI 数据集的斜位精细切割图像可能会产生更高的一致性、更好的临床相关性、增强的手术决策和结果。
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