A Method of Predicting Posture-related Pain Using Biomechanical Parameters for Patients with Lumbar Spinal Disc Herniation.

Airi Hatsushiro, Yuta Tawaki, Toshiyuki Murakami
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Abstract

Lumbar spinal disc herniation is a disease in which the protruding nucleus pulposus presses on the nerve due to actions that place loads on the disc, causing pain in the lower back and lower limbs. About 80% of treatments of disc herniation are conservative treatments, and although it is necessary to live with pain for a long time, there have been no studies that clearly define the relationship between pain and biomechanical parameters. In this study, we proposed a method of identifying biomechanical parameters that predict posture-related pain in patients with lumbar spinal disc herniation. The pain values were quantitatively evaluated by the Numerical Rating Scale (NRS) and the biomechanical parameters were analyzed by OpenSim. Lasso regression was performed to narrow down the biomechanical parameters that were related to pain and derive the mathematical model of the relationship. Therefore, many of the parameters of the obtained mathematical model were related to the lumbar spine and were consistent with areas that be related to lumbar spinal disc herniation.

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使用生物力学参数预测腰椎间盘突出症患者姿势相关疼痛的方法。
腰椎间盘突出症是一种疾病,突出的髓核因动作对椎间盘造成负荷而压迫神经,引起腰部和下肢疼痛。大约 80% 的椎间盘突出症治疗方法都是保守疗法,虽然需要长期忍受疼痛,但目前还没有研究明确界定疼痛与生物力学参数之间的关系。在这项研究中,我们提出了一种方法来确定预测腰椎间盘突出症患者姿势相关疼痛的生物力学参数。疼痛值由数值评定量表(NRS)进行定量评估,生物力学参数由 OpenSim 进行分析。通过拉索回归缩小了与疼痛相关的生物力学参数的范围,并得出了两者关系的数学模型。因此,所获得的数学模型中的许多参数都与腰椎有关,并且与腰椎间盘突出症的相关区域一致。
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