Bone microarchitecture assessment: current and future trends

Bone mineral measurements are frequently used to diagnose metabolic bone diseases such as osteoporosis. Before the age of 50, it affects only a few, whereas in old age, few are left without fractures due to ageor diseaserelated reduction of bone strength. Although many older persons may lose bone, as expressed by a decrease in bone density, not all develop fractures. This is not unexpectedly so, as bone density is not the sole determinant of fracture risk. Neuromuscular function and environmental hazards, influencing the risk of fall, the force of impact, as well as bone strength are equally important factors. Bone mineral density, geometry of bone, microarchitecture of bone and quality of the bone material are all components that determine bone strength as defined by the bone’s ability to withstand loading. On average, 70 to 80% of the variability in bone strength in vitro is determined by its density. On an individual basis, density alone accounts for 10 to 90% of the variation in the strength of trabecular bone [1]. This also means that 90 to 10% of the variation in strength cannot be explained by bone density. Recent data have shown that predicting trabecular bone strength can be greatly improved by including microarchitectural parameters in the analysis [2, 3]. However, the relative importance of bone density and architecture in the etiology of bone fractures, an issue referred to as bone ‘‘quality,’’ is poorly understood.

[1]  R. Huiskes,et al.  A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models. , 1995, Journal of biomechanics.

[2]  P Rüegsegger,et al.  Load transfer analysis of the distal radius from in-vivo high-resolution CT-imaging. , 1999, Journal of biomechanics.

[3]  S C Cowin,et al.  The fabric dependence of the orthotropic elastic constants of cancellous bone. , 1990, Journal of biomechanics.

[4]  P Rüegsegger,et al.  Tissue stresses and strain in trabeculae of a canine proximal femur can be quantified from computer reconstructions. , 1999, Journal of biomechanics.

[5]  P. Rüegsegger,et al.  In vivo high resolution 3D-QCT of the human forearm. , 1998, Technology and health care : official journal of the European Society for Engineering and Medicine.

[6]  S. Goldstein,et al.  Evaluation of orthogonal mechanical properties and density of human trabecular bone from the major metaphyseal regions with materials testing and computed tomography , 1991, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[7]  P. Rüegsegger,et al.  Morphometric analysis of noninvasively assessed bone biopsies: comparison of high-resolution computed tomography and histologic sections. , 1996, Bone.

[8]  Ralph Mueller,et al.  Biomechanical competence of microstructural bone in the progress of adaptive bone remodeling , 1997, Optics & Photonics.

[9]  P. Rüegsegger,et al.  Direct Three‐Dimensional Morphometric Analysis of Human Cancellous Bone: Microstructural Data from Spine, Femur, Iliac Crest, and Calcaneus , 1999, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[10]  F. Wehrli,et al.  High‐resolution variable flip angle 3D MR imaging of trabecular microstructure in vivo , 1993, Magnetic resonance in medicine.

[11]  A Odgaard,et al.  Three-dimensional methods for quantification of cancellous bone architecture. , 1997, Bone.

[12]  W C Hayes,et al.  Micro-compression: a novel technique for the nondestructive assessment of local bone failure. , 1998, Technology and health care : official journal of the European Society for Engineering and Medicine.

[13]  P. Rüegsegger,et al.  In vivo reproducibility of three‐dimensional structural properties of noninvasive bone biopsies using 3D‐pQCT , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[14]  M. Kleerekoper,et al.  Relationships between surface, volume, and thickness of iliac trabecular bone in aging and in osteoporosis. Implications for the microanatomic and cellular mechanisms of bone loss. , 1983, The Journal of clinical investigation.

[15]  N. Kikuchi,et al.  A homogenization sampling procedure for calculating trabecular bone effective stiffness and tissue level stress. , 1994, Journal of biomechanics.

[16]  P Rüegsegger,et al.  Micro-tomographic imaging for the nondestructive evaluation of trabecular bone architecture. , 1997, Studies in health technology and informatics.

[17]  P. Rüegsegger,et al.  Calibration of trabecular bone structure measurements of in vivo three-dimensional peripheral quantitative computed tomography with 28-microm-resolution microcomputed tomography. , 1999, Bone.

[18]  S. Majumdar,et al.  Processing and Analysis of In Vivo High-Resolution MR Images of Trabecular Bone for Longitudinal Studies: Reproducibility of Structural Measures and Micro-Finite Element Analysis Derived Mechanical Properties , 2002, Osteoporosis International.