根据机械变量与骨密度的相关性,评估最能描述骨重塑反应的机械变量。

IF 3.3 2区 医学 Q2 ENGINEERING, BIOMEDICAL Journal of the Mechanical Behavior of Biomedical Materials Pub Date : 2024-10-18 DOI:10.1016/j.jmbbm.2024.106773
Javier Martínez-Reina , Joaquín Ojeda , José Luis Calvo-Gallego , Peter Pivonka , Saulo Martelli
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引用次数: 0

摘要

骨骼中的密度分布可以通过骨骼重塑模型(BRM)进行估算,并应用每日正常负荷来评估骨骼所承受的应力/应变状态。这些模型将从应力/应变状态得出的某种机械刺激与骨密度或骨密度随时间的变化直接联系起来。这一想法的背景是弗罗斯特的机械静力理论,该理论指出,超负荷状态往往会增加骨密度,而废用状态往往会降低骨密度。文献中提出了不同的变量来测量机械刺激。应变能量密度(SED)和应力已被普遍用作机械刺激,但迄今为止,还没有令人信服的论据证明其合理性。在本文中,我们从应力和应变张量中选取了几个变量,并将它们与 13 名老年妇女股骨中的骨密度分布相关联,从而得出结论,哪一个变量最适合用作 BRM 中的机械刺激。我们对六种不同的活动进行了相关分析:正常行走、快速行走、上楼梯、下楼梯、从椅子上站起来和坐在椅子上以及原地跳跃。我们使用肌肉骨骼模型来估算每个人在每项活动中的关节反作用力和肌肉力量。将其应用于股骨的相应有限元模型,以获得各点的应力和应变张量。根据这些张量提出的机械刺激变量与每个人从 CT 扫描中获得的实际密度相关联。结果表明,应力变量与密度的相关性最好。相比之下,SED 的相关性很弱,因此不是机械刺激的理想候选变量。应变与密度的相关性也很弱,但这是因为应变在股骨上的分布相当均匀。这与 "机械恒定理论"(Mechanostat Theory)一致,该理论认为骨骼对负荷变化的反应是改变其硬度,从而将应变保持在一定范围内。因此,重塑标准的一个合理选择就是保持应变的一致性。
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Assessment of mechanical variables best describing bone remodelling responses based on their correlation with bone density
Density distribution in bones can be estimated using bone remodelling models (BRM) and applying daily normal loads to assess the stress/strain state to which the bone is subjected. These models locally relate a certain mechanical stimulus, derived from the stress/strain state, directly to bone density or to its variation over time. The background of this idea is Frost’s Mechanostat Theory, which states that overloading states tend to increase bone density and disuse states tend to decrease it. Different variables have been proposed in the literature to measure the mechanical stimulus. Strain energy density (SED) and stresses have been commonly used as mechanical stimuli, but to date their use has not been justified with convincing arguments. In this paper we have selected several variables derived from stress and strain tensors and correlated them with the distribution of bone density in the femur of 13 elderly women to conclude which would be most appropriate for use as a mechanical stimulus in a BRM. We have performed this correlation analysis for six different activities: walking normally, fast walking, stair ascent, stair descent, rising from and sitting on a chair, and jumping in place. Musculoskeletal models were used to estimate joint reaction and muscle forces of each individual for each activity. These were applied to the corresponding finite element model of the femur to obtain stress and strain tensors at each point. The variables proposed as mechanical stimulus and derived from these tensors were correlated to the actual density obtained for each individual from CT-scans. Our results show that stress variables are the best correlated with density. In contrast, the correlations of SED are very weak, so it is not a good candidate for mechanical stimulus. Strains are also weakly correlated to density, but in this case because their distribution across the femur is rather uniform. This is in agreement with the Mechanostat Theory which states that bone reacts to load changes by changing its stiffness so to keep strains in a certain interval. Consequently, a plausible choice for a remodelling criterion could be keeping that strain uniformity.
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来源期刊
Journal of the Mechanical Behavior of Biomedical Materials
Journal of the Mechanical Behavior of Biomedical Materials 工程技术-材料科学:生物材料
CiteScore
7.20
自引率
7.70%
发文量
505
审稿时长
46 days
期刊介绍: The Journal of the Mechanical Behavior of Biomedical Materials is concerned with the mechanical deformation, damage and failure under applied forces, of biological material (at the tissue, cellular and molecular levels) and of biomaterials, i.e. those materials which are designed to mimic or replace biological materials. The primary focus of the journal is the synthesis of materials science, biology, and medical and dental science. Reports of fundamental scientific investigations are welcome, as are articles concerned with the practical application of materials in medical devices. Both experimental and theoretical work is of interest; theoretical papers will normally include comparison of predictions with experimental data, though we recognize that this may not always be appropriate. The journal also publishes technical notes concerned with emerging experimental or theoretical techniques, letters to the editor and, by invitation, review articles and papers describing existing techniques for the benefit of an interdisciplinary readership.
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