Musculoskeletal simulations towards a subject-specific spino-pelvic load transfer prediction

基于我们在全球范围内独一无二的脊柱和髋关节负荷的遥测测量，我们开发了经过验证的肌肉骨骼模型。通过这些模型，我们的目标是破译脊柱-骨盆(畸形)排列(形态)和由此产生的脊柱负荷(力学)之间的相互关系。我们将进一步确定处于机械过载高危状态的个体(无症状受试者和腰痛患者)。我们假设(1)脊柱-骨盆对齐调节身体的力量和运动。(2)这种相互作用随着时间的推移而变化，在不同性别之间也不同，并与疼痛有关。根据这些结果，将建立基于预测值的算法来定义纳入-排除标准，以便在手术前适当地选择患者。这种生物力学分析的使用将使我们能够区分导致脊柱退变的机械推理和与机械无关的推理。通过这种方法，我们的目标是确定可以作为临床诊断标记的结构和形状相关特征，并将脊柱形态、负荷、组织应变和适应与特定患者的疼痛描述联系起来。

Based on our worldwide, unique in vivo telemetric measurements of spinal and hip loads, we developed validated musculoskeletal models. With these models, we aim to decode the interrelation between spino-pelvic (mal-)alignment (Morphology) and the resulting spinal loads (Mechanics). We will further identify individuals (asymptomatic subjects and low back pain patients) who are at high risk of mechanical overload. We hypothesize that (1) the spino-pelvic alignment regulates physical forces and movements. (2) This interaction changes over time, varies between sexes, and is associated with pain. Given these results, predictor-based algorithms will be established to define inclusion-exclusion criteria for appropriate patient selection prior to a surgery. The use of such biomechanical analyses will allow us to differentiate mechanical reasoning leading to spinal degeneration from reasoning that is not mechanic-related. With such an approach, we aim to identify structural and shape-related characteristics that could serve as clinical diagnostic markers and link spinal morphology, loads, tissue straining and adaptation to specific patient pain descriptions.