高位椎动脉类型:基于 908 个潜在螺钉插入位置的 C2 器械术前规划分类系统。

Tomasz Klepinowski,Natalia Żyłka,Samuel D Pettersson,Jagoda Hanaya,Bartłomiej Pala,Kajetan Łątka,Dominik Taterra,Wojciech Poncyljusz,Christopher S Ogilvy,Leszek Sagan
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引用次数: 0

摘要

背景摘要我们最近的研究表明,高位椎动脉(HRVA)是一种常见的变异,在 C2 椎体器械置入术中有损伤血管的风险。目的对 HRVA 进行分类,为 C2 椎体器械手术的术前规划提供临床帮助。研究设计NA 回顾性观察研究,涉及对匿名颈椎计算机断层扫描(CT)的估计数量进行放射学测量。应用 STROBE 核对表。患者样本分析了 454 次连续颈椎 CT 扫描的 908 个潜在螺钉插入位点 (PSIS)。结果测量根据一系列 C2 椎体形态参数(包括 C2 峡高 (C2IsH) 和 C2 内高 (C2InH))得出三种 HRVA 类型。方法HRVA定义为C2IsH≤5 mm和/或C2InH≤2 mm,在椎管外侧边界外侧测量3 mm。C2PW≤4毫米定义为狭窄椎弓根。使用 Syn.govia 软件进行测量。C2IsH、C2InH和C2PW参数的观察者间、观察者内和软件间的一致性系数采用了我们之前的研究。结果至少有一个 HRVA 的发生率为 24.9%(n = 113 名受试者),PSIS 的发生率为 16.2%(n = 147 个部位)。根据测量结果和 K-means 聚类,HRVA 可分为以下三种类型:类型 1 - 仅 C2IsH 减少而 C2InH 正常的峡部;类型 2 - 仅 C2InH 减少而 C2IsH 在正常范围内的内部;类型 3 - C2IsH 和 C2InH 均减少的峡部内部。通过 Kruskal-Wallis 检验以及未经调整和 Bonferroni-adjusted 事后多重比较分析,发现不同类型之间存在显著差异。新发现类型的患病率如下:1型、2型和3型的患病率分别为78.2%、8.8%和12.9%。73.9%的1型HRVA、53.8%的2型HRVA和100%的3型HRVA伴有同侧NP。通过 K-means 聚类对 HRVA 类型的预测进行了评估。结论我们首次提出了基于大型同质队列的高位椎动脉三种类型的分类系统,该系统可作为 C2 器械术前规划的辅助工具。该分类系统的外部验证将决定其进一步的临床实用性。
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Types of high-riding vertebral artery: a classification system for preoperative planning of C2 instrumentation based on 908 potential screw insertion sites.
BACKGROUND CONTEXT Our recent studies indicated that a high-riding vertebral artery (HRVA) is a common variant posing a risk of injuring the vessel during C2 instrumentation. However, several different types fit in the current definition of HRVA, which may require a different strategy for C2 screw placement. PURPOSE To classify HRVA and provide a clinical aid for preoperative planning of C2 instrumentation. A secondary goal was to estimate coexistence of each HRVA type with the ipsilateral narrow C2 pedicle (NP). STUDY DESIGN A retrospective observational study involving radiologic measurements of the estimated number of anonymized cervical computed tomography (CT) scans. STROBE checklist was applied. PATIENT SAMPLE 908 potential screw insertion sites (PSIS) of 454 consecutive cervical CT scans were analyzed. The sample size was estimated using ScalaR SP function in RStudio. OUTCOME MEASURES Three types of HRVA based on a series of C2 vertebral morphological parameters including the C2 isthmus height (C2IsH) and C2 internal height (C2InH). Also, the prevalences of each HRVA type and coexisting NP based on the C2 pedicle width (C2PW). METHODS HRVA was defined as C2IsH of ≤ 5 mm and/or C2InH of ≤ 2 mm measured 3 mm lateral to the lateral border of the spinal canal. A narrow pedicle was defined as C2PW of ≤ 4 mm. Measurements were done using Syn.govia software. Interobserver, intraobserver, and inter-software agreement coefficients for C2IsH, C2InH, and C2PW parameters were adopted from our previous study. K-means cluster analysis was applied. RESULTS Prevalence of at least one HRVA was 24.9% (n = 113 subjects) and 16.2% of PSIS (n = 147 sites). Based on the measurements and K-means clustering, the following three types of HRVA have been distinguished: type 1 - isthmic with only C2IsH being reduced and normal C2InH; type 2 - internal with only C2InH being reduced and C2IsH within normal limits; type 3 - isthmo-internal with both C2IsH and C2InH being reduced. Kruskal-Wallis test followed by unadjusted and Bonferroni-adjusted post-hoc multiple comparison analysis detected significant differences across the types. The prevalences of the newly identified types were as follows: 78.2%, 8.8%, and 12.9% for type 1, type 2, and type 3, respectively. 73.9% of type 1 HRVA, 53.8% of type 2 HRVA, and 100% of type 3 HRVA had a concomitant ipsilateral NP. Prediction of the HRVA types by the K-means clustering has been evaluated. Screw placement techniques for each type are proposed and discussed. CONCLUSION We present the first classification system for the high-riding vertebral artery distinguishing three types based on the large homogenous cohort, which may serve as an adjunct to preoperative planning of C2 instrumentation. External validation of this classification scheme shall determine its further clinical utility.
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