Majumdar S, Kothari M, Augat P, Newitt D C, Link T M, Lin J C, Lang T, Lu Y, Genant H K
Magnetic Resonance Science Center, Department of Radiology, University of California, San Francisco 94143-1290, USA.
Bone. 1998 May;22(5):445-54. doi: 10.1016/s8756-3282(98)00030-1.
The purpose of this study was to use high-resolution magnetic resonance (MR) imaging combined with image analysis to investigate the three-dimensional (3D) trabecular structure, anisotropy, and connectivity of human vertebral, femoral, and calcaneal specimens. The goal was to determine whether: (a) MR-derived measures depict known skeletal-site-specific differences in architecture and orientation of trabeculae; (b) 3D architectural parameters combined with bone mineral density (BMD) improve the prediction of the elastic modulus using a fabric tensor formulation; (c) MR-derived 3D architectural parameters combined with BMD improve the prediction of strength using a multiple regression model, and whether these results corresponded to the results obtained using higher resolution depictions of trabecular architecture. A total of 94 specimens (12 x 12 x 12 mm cubes) consisting of trabecular bone only were obtained, of which there were 7 from the calcaneus, 15 from distal femur, 47 from the proximal femur, and 25 from the vertebral bodies. MR images were obtained using a 1.5 Tesla MR scanner at a spatial resolution of 117 x 117 x 300 microm. Additionally, BMD was determined using quantitative computed tomography (QCT), and the specimens were nondestructively tested and the elastic modulus (YM) was measured along three orthogonal axes corresponding to the anatomic superior-inferior (axial), medial-lateral (sagittal), and anterior-posterior (coronal) directions. A subset of the specimens (n=67) was then destructively tested in the superior-inferior (axial) direction to measure the ultimate compressive strength. The MR images were segmented into bone and marrow phases and then analyzed in 3D. Ellipsoids were fitted to the mean intercept lengths, using single value decomposition and the primary orientation of the trabeculae and used to calculate the anisotropy of trabecular architecture. Stereological measures were derived using a previously developed model and measures such as mean trabecular width, spacing, and number were derived. Because the spatial resolution of MR images is comparable to trabecular bone dimensions, these measures may be subject to partial volume effects and were thus treated as apparent measures, such as BV/TV, Tb.Sp, Tb.N, and Tb.Th rather than absolute measures, as would be derived from histomorphometry. In addition, in a subset of specimens, the Euler number per unit volume was determined to characterize the connectivity of the trabecular network. There were significant differences in the BMD, trabecular architectural measures, elastic modulus, and strength at the different skeletal sites. The primary orientation axes for most of the specimens was the anatomic superior-inferior (axial) direction. Using the fabric tensor formulation, in addition to BMD, improved the prediction of YM (SI), while including some of the architectural parameters significantly improved the prediction of strength. In comparing MR-derived 3D measures with those obtained from 20 microm optical images (n=18; 9 vertebrae, 9 femur specimens), good correlations were found for the apparent Tb.Sp and Tb.N, moderate correlation was seen for the apparent BV/TV, and poor correlation was found for the apparent Tb.Th. Using these higher resolution images, the fabric tensor formulation for predicting the elastic modulus also showed improved correlation between the measured and calculated modulus in the axial (SI) direction. In summary, high-resolution MR images may be used to assess 3D architecture of trabecular bone, and the inclusion of some of the 3D architectural measures provides an improved assessment of biomechanical properties. Further studies are clearly warranted to establish the role of architecture in predicting overall bone quality, and the role of trabecular architecture measures in clinical practice. (ABSTRACT TRUNCATED)
本研究的目的是使用高分辨率磁共振(MR)成像结合图像分析,来研究人体椎体、股骨和跟骨标本的三维(3D)小梁结构、各向异性和连通性。目标是确定:(a)MR衍生测量值是否描绘了小梁结构和方向上已知的骨骼部位特异性差异;(b)结合骨密度(BMD)的3D结构参数是否使用织物张量公式改善了弹性模量的预测;(c)结合BMD的MR衍生3D结构参数是否使用多元回归模型改善了强度的预测,以及这些结果是否与使用更高分辨率的小梁结构描绘所获得的结果一致。总共获得了94个仅由小梁骨组成的标本(12×12×12mm立方体),其中7个来自跟骨,15个来自股骨远端,47个来自股骨近端,25个来自椎体。使用1.5特斯拉MR扫描仪以117×117×300微米的空间分辨率获得MR图像。此外,使用定量计算机断层扫描(QCT)确定BMD,并对标本进行无损测试,并沿着对应于解剖学上的上下(轴向)、内外(矢状)和前后(冠状)方向的三个正交轴测量弹性模量(YM)。然后在上下(轴向)方向对一部分标本(n = 67)进行破坏性测试,以测量极限抗压强度。将MR图像分割为骨和骨髓相,然后进行3D分析。使用奇异值分解将椭球体拟合到平均截距长度,并确定小梁的主要方向,用于计算小梁结构的各向异性。使用先前开发的模型得出体视学测量值,并得出诸如平均小梁宽度、间距和数量等测量值。由于MR图像的空间分辨率与小梁骨尺寸相当,这些测量值可能会受到部分容积效应的影响,因此被视为表观测量值,如骨体积分数(BV/TV)、小梁间距(Tb.Sp)、小梁数量(Tb.N)和小梁厚度(Tb.Th),而不是像组织形态计量学那样的绝对测量值。此外,在一部分标本中,确定每单位体积的欧拉数以表征小梁网络的连通性。不同骨骼部位的BMD、小梁结构测量值、弹性模量和强度存在显著差异。大多数标本的主要方向轴是解剖学上的上下(轴向)方向。使用织物张量公式,除了BMD之外,还改善了轴向弹性模量(SI)的预测,而纳入一些结构参数则显著改善了强度的预测。在将MR衍生的3D测量值与从20微米光学图像(n = 18;9个椎体,9个股骨标本)获得的测量值进行比较时,发现表观Tb.Sp和Tb.N具有良好的相关性,表观BV/TV具有中等相关性,表观Tb.Th具有较差的相关性。使用这些更高分辨率的图像,用于预测弹性模量的织物张量公式在轴向(SI)方向上也显示出测量模量与计算模量之间的相关性得到改善。总之,高分辨率MR图像可用于评估小梁骨的3D结构,纳入一些3D结构测量值可改善对生物力学性能的评估。显然需要进一步研究来确定结构在预测整体骨质量中的作用,以及小梁结构测量值在临床实践中的作用。(摘要截断)