Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Internal Medicine Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Neurosurgery. 2020 Mar 1;86(3):446-451. doi: 10.1093/neuros/nyz088.
Cervical alignment has become increasingly important in the planning of spine surgery. A relationship between the slope of T1 (T1S), the cervical lordosis (CL), and the overall cervical sagittal vertical axis (cSVA) has previously been demonstrated, but the exact nature of this relationship is poorly understood. In this study, we derive theoretical and empirical equations to better understand how T1S and CL affect cSVA. The first equation was developed on a theoretical basis using inherent trigonometric relationships of the cervical spine. By treating the cervical spine as the arc of a circumference, and by taking into account the cervical height (CH), the geometric relationship between theT1S, CL, and cSVA was described via a trigonometric identity utilizing a novel angle δ subtended by the CH and cSVA (δ = T1S-CL/2). The second equation was developed on an empiric basis by performing a multiple linear regression on data obtained from a retrospective review of a large multicenter deformity database. The theoretical equation determined that the value of cSVA could be expressed as: $cSVA\ = \ CH*{\rm{tan}}( {\pi /180*( {T1S - CL/2} )} )$. The empirical equation determined that value of cSVA could be expressed as: $cSVA=({1.1T1} )\ - ( {0.43CL} ) + 6.69$. In both, the sagittal alignment of the head over the shoulders is directly proportional to the T1S and inversely proportional to CL/2. These 2 equations may allow surgeons to better understand how the CL compensates for the T1S, to accurately predict the postoperative cSVA, and to customize cervical interbody grafts by taking into consideration each individual patient's specific cervical spine parameters.
颈椎对线在脊柱手术规划中变得越来越重要。先前已经证明了 T1 斜率(T1S)、颈椎前凸(CL)和颈椎矢状垂直轴(cSVA)之间存在关系,但这种关系的确切性质尚不清楚。在这项研究中,我们推导出理论和经验公式,以更好地理解 T1S 和 CL 如何影响 cSVA。第一个方程是基于理论基础,利用颈椎的固有三角关系推导得出。通过将颈椎视为圆周的弧,并考虑颈椎高度(CH),通过利用 CH 和 cSVA 之间的 novel 角δ(δ = T1S-CL/2)的三角函数恒等式来描述 T1S、CL 和 cSVA 之间的几何关系。第二个方程是通过对大型多中心畸形数据库的回顾性研究数据进行多元线性回归得出的。理论方程确定,cSVA 的值可以表示为:$cSVA=CH\times{\rm{tan}}( {\pi /180*( {T1S - CL/2} )} )$。经验方程确定,cSVA 的值可以表示为:$cSVA=({1.1T1} )\ - ( {0.43CL} ) + 6.69$。在这两种情况下,头部在肩部上的矢状排列与 T1S 成正比,与 CL/2 成反比。这两个方程可以帮助外科医生更好地理解 CL 如何补偿 T1S,准确预测术后 cSVA,并通过考虑每个患者特定的颈椎参数来定制颈椎椎间融合器。