首页 | 本学科首页   官方微博 | 高级检索  
检索        


Biomechanical properties and microarchitecture parameters of trabecular bone are correlated with stochastic measures of 2D projection images
Institution:1. Department of Health and Kinesiology, The University of Texas at Tyler, Tyler, TX 75799, USA;2. Department of Electrical Engineering, The University of Texas at Tyler, Tyler, TX 75799, USA;3. Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA;1. The State Key Lab of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 200050, China;2. Metals and Materials Engineering Department, McGill University, 3610 University Street, Montreal, Quebec H3A 2B2, Canada;3. Key Laboratory of Materials Physics, Institute of Solid State Physics, Chinese Academy of Science, Hefei, Anhui, 230031, China;4. CAS Center for Excellence in Superconducting Electronics (CENSE), Shanghai 200050, China
Abstract:It is well known that loss of bone mass, quantified by areal bone mineral density (aBMD) using DXA, is associated with the increasing risk of bone fractures. However, bone mineral density alone cannot fully explain changes in fracture risks. On top of bone mass, bone architecture has been identified as another key contributor to fracture risk. In this study, we used a novel stochastic approach to assess the distribution of aBMD from 2D projection images of Micro-CT scans of trabecular bone specimens at a resolution comparable to DXA images. Sill variance, a stochastic measure of distribution of aBMD, had significant relationships with microarchitecture parameters of trabecular bone, including bone volume fraction, bone surface-to-volume ratio, trabecular thickness, trabecular number, trabecular separation and anisotropy. Accordingly, it showed significantly positive correlations with strength and elastic modulus of trabecular bone. Moreover, a combination of aBMD and sill variance derived from the 2D projection images (R2 = 0.85) predicted bone strength better than using aBMD alone (R2 = 0.63). Thus, it would be promising to extend the stochastic approach to routine DXA scans to assess the distribution of aBMD, offering a more clinically significant technique for predicting risks of bone fragility fractures.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号