Ru Nan, Li Jianlong, Li Yang, Sun Jianmin, Wang Guodong, Cui Xingang
Cheeloo College of Medicine Shandong University Jinan City Shandong Province China.
Department of Spine Surgery Shandong Provincial Hospital Affiliated to Shandong First Medical University Jinan City Shandong Province China.
JOR Spine. 2021 Nov 30;4(4):e1180. doi: 10.1002/jsp2.1180. eCollection 2021 Dec.
To study the normal variations in sacral anatomical parameters in different Roussouly sagittal shapes and the association between sacral anatomical parameters and lumbopelvic parameters in healthy adults.
A cohort of 239 healthy volunteers between 18 and 45 years old was enrolled in this study. A full-spine, standing X-ray was taken for each volunteer. The following parameters were measured: the sacral table angle (STA), sacral kyphosis (SK), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), lumbar lordosis (LL), and lumbar lordosis apex (LLA). Two hundred and thirty-nine volunteers were classified into five groups according to the Roussouly classification. The differences in sagittal parameters among the five groups were evaluated by one-way analysis of variance. The correlations between lumbopelvic parameters and sacral anatomical parameters were analyzed, and simple linear regressions were simultaneously constructed.
The sacral anatomical parameters vary in different Roussouly sagittal shapes. Correlation analysis revealed that the significant correlations between sacral anatomical parameters and lumbopelvic parameters. The STA correlated with PI ( = -.690, <.001), PT ( = -.216, = .001), SS ( = -.631, <.001), LL ( = -.491, <.001), and LLA ( = 0.515, <.001). The corresponding regression formulae were as follows: PI = -0.991STA + 143( = .476), LL = 0.870STA-135.1( = .242), and LLA = 0.039STA -0.087( = .265). The SK correlated with PI ( = .471, <.001), PT ( = .445, = .001), SS ( = .533, <.001), LL ( = .438, <.001), and the LLA ( = -.265, <.001). The corresponding regression formulae were as follows: PI = 0.38SK + 27.22( = .396), LL = -0.35SK - 35.99( = .192), and LLA = -0.01SK + 4.25( = .201).
The sacral anatomical parameters vary in different Roussouly sagittal shapes and have strong correlations with lumbopelvic parameters, which demonstrates that the specific lumbar shape can be affected by the sacral morphology. Moreover, the predictive models of lumbopelvic parameters based on SK and STA have been provided, which demonstrates constant sacral anatomical parameters could serve as good supplementary index of PI to predict ideal lumbar parameters.
研究不同鲁索利矢状面形态下骶骨解剖参数的正常变异,以及健康成年人骶骨解剖参数与腰骶骨盆参数之间的关联。
本研究纳入了239名年龄在18至45岁之间的健康志愿者。为每位志愿者拍摄了全脊柱站立位X线片。测量了以下参数:骶骨平台角(STA)、骶骨后凸(SK)、骨盆入射角(PI)、骨盆倾斜角(PT)、骶骨斜率(SS)、腰椎前凸(LL)和腰椎前凸顶点(LLA)。根据鲁索利分类法,将239名志愿者分为五组。采用单因素方差分析评估五组之间矢状面参数的差异。分析腰骶骨盆参数与骶骨解剖参数之间的相关性,并同时构建简单线性回归方程。
骶骨解剖参数在不同的鲁索利矢状面形态中有所不同。相关性分析显示,骶骨解剖参数与腰骶骨盆参数之间存在显著相关性。STA与PI(r = -0.690,P < 0.001)、PT(r = -0.216,P = 0.001)、SS(r = -0.631,P < 0.001)、LL(r = -0.491,P < 0.001)和LLA(r = 0.515,P < 0.001)相关。相应的回归公式如下:PI = -0.991STA + 143(r² = 0.476),LL = 0.870STA - 135.1(r² = 0.242),LLA = 0.039STA - 0.087(r² = 0.265)。SK与PI(r = 0.471,P < 0.001)、PT(r = 0.445,P = 0.001)、SS(r = 0.533,P < 0.001)、LL(r = 0.438,P < 0.001)和LLA(r = -0.265,P < 0.001)相关。相应的回归公式如下:PI = 0.38SK + 27.22(r² = 0.396),LL = -0.35SK - 35.99(r² = 0.192),LLA = -0.01SK + 4.25(r² = 0.201)。
骶骨解剖参数在不同的鲁索利矢状面形态中有所不同,且与腰骶骨盆参数密切相关,这表明特定的腰椎形态可能受骶骨形态的影响。此外,提供了基于SK和STA的腰骶骨盆参数预测模型,这表明恒定的骶骨解剖参数可作为预测理想腰椎参数的PI的良好补充指标。