National Research Council, CNR-ICMTE, Lecco, Italy.
Mechanical Engineering Department, Politecnico Di Milano, Milano, Italy.
Med Biol Eng Comput. 2024 Nov;62(11):3263-3281. doi: 10.1007/s11517-024-03134-8. Epub 2024 Jun 1.
Research at the mesoscale bone trabeculae arrangement yields intriguing results that, due to their clinical resolution, can be applied in clinical field, contributing significantly to the diagnosis of bone-related diseases. While the literature offers quantitative morphometric parameters for a thorough characterization of the mesoscale bone network, there is a gap in understanding relationships among them, particularly in the context of various bone pathologies. This research aims to bridge these gaps by offering a quantitative evaluation of the interplay among morphometric parameters and mechanical response at mesoscale in osteoporotic and non-osteoporotic bones. Bone mechanical response, dependent on trabecular arrangement, is defined by apparent stiffness, computationally calculated using the Gibson-Ashby model. Key findings indicate that: (i) in addition to bone density, measured using X-ray absorptiometry, trabecular connectivity density, trabecular spacing and degree of anisotropy are crucial parameters for characterize osteoporosis state; (ii) apparent stiffness values exhibit strong correlations with bone density and connectivity density; (iii) connectivity density and degree of anisotropy result the best predictors of mechanical response. Despite the inherent heterogeneity in bone structure, suggesting the potential benefit of a larger sample size in the future, this approach presents a valuable method to enhance discrimination between osteoporotic and non-osteoporotic samples.
对中尺度骨小梁排列的研究产生了有趣的结果,由于其临床分辨率,可以应用于临床领域,对骨相关疾病的诊断有重要贡献。虽然文献提供了定量形态计量参数,以彻底描述中尺度骨网络,但对于它们之间的关系仍存在理解上的差距,特别是在各种骨病理学的背景下。本研究旨在通过定量评估骨质疏松和非骨质疏松骨中形态计量参数与力学响应之间的相互作用来弥补这些差距。依赖于小梁排列的骨力学响应由表观刚度定义,使用 Gibson-Ashby 模型计算得出。主要研究结果表明:(i) 除了使用 X 射线吸收仪测量的骨密度外,小梁连通密度、小梁间距和各向异性度也是描述骨质疏松状态的关键参数;(ii) 表观刚度值与骨密度和连通密度具有很强的相关性;(iii) 连通密度和各向异性度是机械响应的最佳预测因子。尽管骨结构存在固有异质性,表明未来可能需要更大的样本量,但这种方法提供了一种增强对骨质疏松和非骨质疏松样本进行区分的有价值的方法。