颈椎的椎间运动范围(ROM)存在相当大的受试者间变异性。这使得很难定义“正常”ROM,评估年龄的影响,损伤,和脊柱运动学的外科手术。这项研究的目的是定义动态功能负荷过程中颈椎的正常椎间运动学。29名参与者进行了动态屈曲\\伸展,轴向旋转,以30张图像/s的速度收集双平面射线照片和横向弯曲。使用经过验证的基于体积模型的跟踪过程以亚毫米精度跟踪椎体运动,该过程将特定于受试者的基于CT的骨骼模型与X射线照片相匹配。使用高斯逐点和自举技术以每个运动周期的1%间隔确定椎间运动学曲线的90%预测带。进行交叉验证以估计每种方法的真正实现的覆盖率。对于90%的目标覆盖率,使用引导预测波段估计的真实覆盖率平均为86±5%,而使用高斯逐点间隔估计的真实覆盖率在所有运动和所有运动片段上平均为56±10%。建议将Bootstrap预测带作为评估完整ROM颈椎运动学曲线的标准。这里提供的数据可用于识别颈部疼痛患者的异常运动,驱动计算模型,并评估体外加载范例的生物保真度。
There is substantial inter-subject variability in intervertebral range of motion (ROM) in the cervical spine. This makes it difficult to define \"normal\" ROM, and to assess the effects of age, injury, and surgical procedures on spine kinematics. The objective of this study was to define normal intervertebral kinematics in the cervical spine during dynamic functional loading. Twenty-nine participants performed dynamic flexion\\extension, axial rotation, and lateral bending while biplane radiographs were collected at 30 images/s. Vertebral motion was tracked with sub-millimeter accuracy using a validated volumetric model-based tracking process that matched subject-specific CT-based bone models to the radiographs. Gaussian point-by-point and bootstrap techniques were used to determine 90% prediction bands for the intervertebral kinematic curves at 1% intervals of each movement cycle. Cross validation was performed to estimate the true achieved coverage for each method. For a targeted coverage of 90%, the estimated true coverage using bootstrap prediction bands averaged 86±5%, while the estimated true coverage using Gaussian point-by-point intervals averaged 56±10% over all movements and all motion segments. Bootstrap prediction bands are recommended as the standard for evaluating full ROM cervical spine kinematic curves. The data presented here can be used to identify abnormal motion in patients presenting with neck pain, to drive computational models, and to assess the biofidelity of in vitro loading paradigms.