Boulay C, Tardieu C, Hecquet J, Benaim C, Mouilleseaux B, Marty C, Prat-Pradal D, Legaye J, Duval-Beaupère G, Pélissier J
Département de Médecine Physique et de Réadaptation, CHU Caremeau, 5 rue du Pr. Debré, 30029 Nîmes cedex 4, France.
Eur Spine J. 2006 Apr;15(4):415-22. doi: 10.1007/s00586-005-0984-5. Epub 2005 Sep 23.
Pelvis and spinal curves were studied with an angular parameter typical of pelvis morphology: pelvic incidence. A significant chain of correlations between positional pelvic and spinal parameters and incidence is known. This study investigated standards of incidence and a predictive equation of lordosis from selective pelvic and spinal individual parameters. One hundred and forty nine (78 men and 71 women) healthy adults, aged 19-50 years, with no spinal disorders, were included and had a full-spine lateral X-ray in a standardised upright position. Computerised technology was used for the measurement of angular parameters. Mean-deviation section of each parameter and Pearson correlation test were calculated. A multivariate selection algorithm was running with the lordosis (predicted variable) and the other spinal and pelvic parameters (predictor variables), to determine the best sets of predictors to include in the model. A low incidence (<44 degrees ) decreased sacral-slope and the lordosis is flattened. A high incidence (>62 degrees ) increased sacral-slope and the lordosis is more pronounced. Lordosis predictive equation is based on incidence, kyphosis, sacral-slope and +/-T9 tilt. The confidence limits and the residuals (the difference between measured and predicted lordosis) assessed the predicted lordosis accuracy of the model: respectively, +/-1.65 and 2.41 degrees with the 4-item model; +/-1.73 and 3.62 degrees with the 3-item model. The ability of the functional spine-pelvis unit to search for a sagittal balance depended both on the incidence and on the variation section of the other positional parameters. Incidence gave an adaptation potential at two levels of positional compensation: overlying state (kyphosis, T9 tilt), underlying state (sacral slope, pelvic tilt). The biomechanical and clinical conditions of the standing posture (as in scoliosis, low back pain, spondylisthesis, spine surgery, obesity and postural impairments) can be studied by comparing the measured lordosis with the predicted lordosis.
骨盆入射角,对骨盆和脊柱曲线进行了研究。已知骨盆和脊柱位置参数与入射角之间存在显著的关联链。本研究调查了入射角标准以及根据选择性骨盆和脊柱个体参数预测脊柱前凸的方程。纳入了149名(78名男性和71名女性)年龄在19至50岁之间、无脊柱疾病的健康成年人,并在标准化直立位进行了全脊柱侧位X线检查。使用计算机技术测量角度参数。计算每个参数的均值偏差区间和皮尔逊相关检验。使用脊柱前凸(预测变量)和其他脊柱及骨盆参数(预测因子变量)运行多元选择算法,以确定模型中应包含的最佳预测因子组合。低入射角(<44度)会降低骶骨斜率,脊柱前凸变平。高入射角(>62度)会增加骶骨斜率,脊柱前凸更明显。脊柱前凸预测方程基于入射角、后凸、骶骨斜率和±T9倾斜度。置信区间和残差(测量的脊柱前凸与预测的脊柱前凸之间的差异)评估了模型预测脊柱前凸的准确性:4项模型分别为±1.65和2.41度;3项模型分别为±1.73和3.62度。功能性脊柱 - 骨盆单元寻求矢状面平衡的能力既取决于入射角,也取决于其他位置参数的变化区间。入射角在两个位置补偿水平上具有适应潜力:上位状态(后凸、T9倾斜),下位状态(骶骨斜率、骨盆倾斜)。通过比较测量的脊柱前凸和预测的脊柱前凸,可以研究站立姿势的生物力学和临床状况(如在脊柱侧弯、腰痛、椎体滑脱、脊柱手术、肥胖和姿势障碍中)。