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使用定量磁共振成像预测松质骨的力学性能。

Prediction of mechanical properties of trabecular bone using quantitative MRI.

作者信息

Lammentausta E, Hakulinen M A, Jurvelin J S, Nieminen M T

机构信息

Department of Physics, University of Kuopio, POB 1627, FI-70211 Kuopio, Finland.

出版信息

Phys Med Biol. 2006 Dec 7;51(23):6187-98. doi: 10.1088/0031-9155/51/23/017. Epub 2006 Nov 9.

Abstract

Techniques for quantitative magnetic resonance imaging (MRI) have been developed for non-invasive estimation of the mineral density and structure of trabecular bone. The R*(2) relaxation rate (i.e. 1/T*(2)) is sensitive to bone mineral density (BMD) via susceptibility differences between trabeculae and bone marrow, and by binarizing MRI images, structural variables, such as apparent bone volume fraction, can be assessed. In the present study, trabecular bone samples of human patellae were investigated in vitro at 1.5 T to determine the ability of MRI-derived variables (R*(2) and bone volume fraction) to predict the mechanical properties (Young's modulus, yield stress and ultimate strength). Further, the MRI variables were correlated with reference measurements of volumetric BMD and bone area fraction as determined with a clinical pQCT system. The MRI variables correlated significantly (p < 0.01) with the mechanical variables (r = 0.32-0.46), BMD (r = 0.56) and bone structure (r = 0.51). A combination of R*(2) and MRI-derived bone volume fraction further improved the prediction of yield stress and ultimate strength. Although pQCT showed a trend towards better prediction of the mechanical properties, current results demonstrate the feasibility of combined MR imaging of marrow susceptibility and bone volume fraction in predicting the mechanical strength of trabecular bone and bone mineral density.

摘要

定量磁共振成像(MRI)技术已被开发用于无创估计小梁骨的矿物质密度和结构。R*(2) 弛豫率(即 1/T*(2))通过小梁与骨髓之间的磁化率差异对骨矿物质密度(BMD)敏感,并且通过对 MRI 图像进行二值化处理,可以评估诸如表观骨体积分数等结构变量。在本研究中,在 1.5 T 条件下对人髌骨的小梁骨样本进行了体外研究,以确定 MRI 衍生变量(R*(2) 和骨体积分数)预测力学性能(杨氏模量、屈服应力和极限强度)的能力。此外,将 MRI 变量与临床 pQCT 系统测定的体积 BMD 和骨面积分数的参考测量值进行了相关性分析。MRI 变量与力学变量(r = 0.32 - 0.46)、BMD(r = 0.56)和骨结构(r = 0.51)显著相关(p < 0.01)。R*(2) 和 MRI 衍生的骨体积分数的组合进一步改善了对屈服应力和极限强度的预测。尽管 pQCT 在预测力学性能方面显示出更好的趋势,但目前的结果证明了骨髓磁化率和骨体积分数的联合磁共振成像在预测小梁骨力学强度和骨矿物质密度方面的可行性。

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