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新型力-位移控制的脊柱被动有限元模型,用于模拟完整和病理状态;与传统被动和详细的肌肉骨骼模型的比较。

Novel force-displacement control passive finite element models of the spine to simulate intact and pathological conditions; comparisons with traditional passive and detailed musculoskeletal models.

机构信息

Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran.

Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran.

出版信息

J Biomech. 2022 Aug;141:111173. doi: 10.1016/j.jbiomech.2022.111173. Epub 2022 Jun 8.

Abstract

Passive finite element (FE) models of the spine are commonly used to simulate intact and various pre- and postoperative pathological conditions. Being devoid of muscles, these traditional models are driven by simplistic loading scenarios, e.g., a constant moment and compressive follower load (FL) that do not properly mimic the complex in vivo loading condition under muscle exertions. We aim to develop novel passive FE models that are driven by more realistic yet simple loading scenarios, i.e., in vivo vertebral rotations and pathological-condition dependent FLs (estimated based on detailed musculoskeletal finite element (MS-FE) models). In these novel force-displacement control FE models, unlike the traditional passive FE models, FLs vary not only at different spine segments (T12-S1) but between intact, pre- and postoperative conditions. Intact, preoperative degenerated, and postoperative fused conditions at the L4-L5 segment for five static in vivo activities in upright and flexed postures were simulated by the traditional passive FE, novel force-displacement control FE, and gold-standard detailed MS-FE spine models. Our findings indicate that, when compared to the MS-FE models, the force-displacement control passive FE models could accurately predict the magnitude of disc compression force, intradiscal pressure, annulus maximal von Mises stress, and vector sum of all ligament forces at adjacent segments (L3-L4 and L5-S1) but failed to predict disc shear and facet joint forces. In this regard, the force-displacement control passive FE models were much more accurate than the traditional passive FE models. Clinical recommendations made based on traditional passive FE models should, therefore, be interpreted with caution.

摘要

脊柱的被动有限元(FE)模型通常用于模拟完整的和各种术前及术后的病理状况。由于缺乏肌肉,这些传统模型由简化的加载方案驱动,例如恒定的力矩和压缩跟随力(FL),这些方案不能很好地模拟肌肉施加下的复杂体内加载条件。我们的目标是开发新型的被动 FE 模型,这些模型由更真实但简单的加载方案驱动,即体内椎体旋转和基于详细肌肉骨骼有限元(MS-FE)模型的病理条件依赖性 FL(根据详细的肌肉骨骼有限元(MS-FE)模型估计)。在这些新型力位移控制 FE 模型中,与传统的被动 FE 模型不同,FL 不仅在不同的脊柱节段(T12-S1)之间变化,而且在完整、术前和术后条件之间变化。通过传统的被动 FE、新型力位移控制 FE 和金标准详细 MS-FE 脊柱模型模拟了五个静态体内活动中直立和弯曲姿势下 L4-L5 节段的完整、术前退化和术后融合状态。我们的研究结果表明,与 MS-FE 模型相比,力位移控制被动 FE 模型可以准确预测椎间盘压缩力、椎间盘内压力、环的最大 von Mises 应力以及相邻节段(L3-L4 和 L5-S1)所有韧带力的矢量和的大小,但无法预测椎间盘剪切力和小关节力。在这方面,力位移控制被动 FE 模型比传统的被动 FE 模型准确得多。因此,基于传统被动 FE 模型提出的临床建议应谨慎解读。

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