Lee Jae-Koo, Hyun Seung-Jae, Kim Ki-Jeong
Department of Neurosurgery, Spine Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Neurospine. 2022 Jun;19(2):463-471. doi: 10.14245/ns.2244220.110. Epub 2022 Jun 30.
By using angulation of the axis itself, this study aims to define and analyze odontoid incidence (OI) and odontoid tilt (OT) as novel cervical alignment parameters and investigate their correlations with cervical alignment.
Novel and existing parameters were measured with whole-spine lateral plain radiographs and EOS images of 42 adults without cervical symptoms. The correlations of OI, OT, C2 slope (C2S), and T1 slope (T1S) were calculated.
The OI, OT, and C2S showed significant correlations with C2-7 angle (r = 0.43, r = -0.42, r = 0.62, respectively) and C0-2 angle (r = -0.33, r = 0.48, r = -0.61, respectively). OI, OT, T1S were independent predictors of the C2-7 angle in univariate regression analysis (adjusted-R2 = 0.17, R2 = 0.15, R2 = 0.28, respectively). OI, OT, and T1S were independent predictors in the multivariable regression analysis with estimated standardized coefficients of 0.36, -0.67, -0.69, respectively (adjusted- R2 = 0.80, p < 0.001). Regarding the C0-2 angle, OI and OT were independent predictors in the univariate regression analysis (adjusted-R2 = 0.08, R2 = 0.21, respectively).
OI, OT, and C2S had significant correlations with cervical alignment. As the pelvic incidence, the OI is the only anatomical and constant parameter that could be used as a reference point related to the cervical spine from the rostral end. The study results may serve as baseline data for further studies on the alignment and balance of the cervical spine.
本研究通过使用枢椎自身轴线的角度,旨在定义和分析齿突发生率(OI)和齿突倾斜度(OT)作为新的颈椎排列参数,并研究它们与颈椎排列的相关性。
采用全脊柱侧位X线平片和42例无颈椎症状成年人的EOS图像测量新的和现有的参数。计算OI、OT、C2斜率(C2S)和T1斜率(T1S)之间的相关性。
OI、OT和C2S与C2-7角(分别为r = 0.43、r = -0.42、r = 0.62)和C0-2角(分别为r = -0.33、r = 0.48、r = -0.61)呈显著相关性。在单变量回归分析中,OI、OT、T1S是C2-7角的独立预测因素(调整R2分别为0.17、0.15、0.28)。在多变量回归分析中,OI、OT和T1S是独立预测因素,估计标准化系数分别为0.36、-0.67、-0.69(调整R2 = 0.80,p < 0.001)。关于C0-2角,在单变量回归分析中,OI和OT是独立预测因素(调整R2分别为0.08、0.21)。
OI、OT和C2S与颈椎排列显著相关。作为骨盆发生率,OI是唯一可从头部末端用作与颈椎相关参考点的解剖学和恒定参数。研究结果可为进一步研究颈椎排列和平衡提供基线数据。