Relationships Among Bone Morphological Parameters and Mechanical Properties of Cadaveric Human Vertebral Cancellous Bone

被引:14
|
作者
Al-Barghouthi, Abeer [1 ]
Lee, Seokgi [2 ]
Solitro, Giovanni Francesco [3 ]
Latta, Loren [1 ,4 ]
Travascio, Francesco [1 ,2 ,4 ]
机构
[1] Mt Sinai Med Ctr, Max Biedermann Inst Biomech, Dept Orthopaed Surg, Miami Beach, FL 33140 USA
[2] Univ Miami, Dept Ind Engn, Coral Gables, FL 33124 USA
[3] Louisiana State Univ, Hlth Sci Ctr Shreveport, Dept Orthopaed Surg, Shreveport, LA 71105 USA
[4] Univ Miami, Dept Orthopaed Surg, Miami, FL USA
关键词
MECHANICAL INDENTATION; mu CT; HYDRAULIC PERMEABILITY; AGGREGATE MODULUS; BONE VOLUME FRACTION;
D O I
10.1002/jbm4.10351
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Mechanical properties and morphological features of the vertebral cancellous bone are related to resistance to fracture and capability of withstanding surgical treatments. In particular, vertebral strength is related to its elastic properties, whereas the ease of fluid motion, related to the success of incorporation orthopedic materials (eg, bone cement), is regulated by the hydraulic permeability (K). It has been shown that both elastic modulus and permeability of a material are affected by its morphology. The objective of this study was to establish relations between local values of K and the aggregate modulus (H), and parameters descriptive of the bone morphology. We hypothesized that multivariate statistical models, by including the contribution of several morphology parameters at once, would provide a strong correlation with K and H of the vertebral cancellous bone. Hence, mu CT scans of human lumbar vertebra were used to determine a set of bone morphology descriptors. Subsequently, indentation tests on the bone samples were conducted to determine local values of K and H. Finally, a multivariate approach supported by principal component analysis was adopted to develop predictive statistical models of bone permeability and aggregate modulus as a function of bone morphology descriptors. It was found that linear combinations of bone volume fraction, trabecular thickness, trabecular spacing, structure model index, connectivity density, and degree of anisotropy provide a strong correlation (R-2 similar to 76%) with K and a weaker correlation (R-2 similar to 47%) with H. The results of this study can be exploited in computational mechanics frameworks for investigating the potential mechanical behavior of human vertebra and to develop strategies to treat or prevent pathological conditions such as osteoporosis, age-related bone loss, and vertebral compression fractures. (C) 2020 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research.
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页数:8
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