High-resolution magnetic resonance imaging to assess trabecular bone structure in patients after transplantation: a review

Predicting trabecular bone elastic properties from measures of bone volume fraction and fabric on the basis of micromagnetic resonance images

The relationship between fabric (a measure of structural anisotropy) and elastic properties of trabecular bone was examined by invoking morphology and homogenization theory on the basis of micromagnetic resonance images from the distal tibia in specimens (N = 30) and human subjects (N = 16) acquired at a 160 × 160 × 160 μm(3) voxel size. The fabric tensor was mapped in 7.5 × 7.5 × 7.5 mm(3) cubic subvolumes by a three-dimensional mean-intercept-length method. Elastic constants (three Young's and three shear moduli) were derived from linear microfinite element simulations of three-dimensional grayscale bone volume fraction-mapped images. In the specimen data, moduli fit power laws of bone volume fraction (bone volume/total volume) for all three test directions and subvolumes (R(2) = 0.92-0.98) with exponents ranging from 1.3 to 1.8. Weaker linear relationships were found for the in vivo data because of a narrower range in bone volume/total volume. When pooling the data for all test directions and subvolumes, bone volume/total volume predicted elastic moduli less well in the specimens (mean R(2) = 0.74) and not at all in vivo. A model of bone volume/total volume and fabric was highly predictive of microfinite element-derived Young's moduli: mean R(2) s of 0.98 and 0.82 (in vivo). The results show that fabric, an important predictor of bone mechanical properties, can be assessed in the limited resolution and signal-to-noise ratio regime of micromagnetic resonance images.

Osteoporosis imaging: state of the art and advanced imaging

Osteoporosis is becoming an increasingly important public health issue, and effective treatments to prevent fragility fractures are available. Osteoporosis imaging is of critical importance in identifying individuals at risk for fractures who would require pharmacotherapy to reduce fracture risk and also in monitoring response to treatment. Dual x-ray absorptiometry is currently the state-of-the-art technique to measure bone mineral density and to diagnose osteoporosis according to the World Health Organization guidelines. Motivated by a 2000 National Institutes of Health consensus conference, substantial research efforts have focused on assessing bone quality by using advanced imaging techniques. Among these techniques aimed at better characterizing fracture risk and treatment effects, high-resolution peripheral quantitative computed tomography (CT) currently plays a central role, and a large number of recent studies have used this technique to study trabecular and cortical bone architecture. Other techniques to analyze bone quality include multidetector CT, magnetic resonance imaging, and quantitative ultrasonography. In addition to quantitative imaging techniques measuring bone density and quality, imaging needs to be used to diagnose prevalent osteoporotic fractures, such as spine fractures on chest radiographs and sagittal multidetector CT reconstructions. Radiologists need to be sensitized to the fact that the presence of fragility fractures will alter patient care, and these fractures need to be described in the report. This review article covers state-of-the-art imaging techniques to measure bone mineral density, describes novel techniques to study bone quality, and focuses on how standard imaging techniques should be used to diagnose prevalent osteoporotic fractures.

Osteoporosis imaging: state of the art and advanced imaging

Osteoporosis is becoming an increasingly important public health issue, and effective treatments to prevent fragility fractures are available. Osteoporosis imaging is of critical importance in identifying individuals at risk for fractures who would require pharmacotherapy to reduce fracture risk and also in monitoring response to treatment. Dual x-ray absorptiometry is currently the state-of-the-art technique to measure bone mineral density and to diagnose osteoporosis according to the World Health Organization guidelines. Motivated by a 2000 National Institutes of Health consensus conference, substantial research efforts have focused on assessing bone quality by using advanced imaging techniques. Among these techniques aimed at better characterizing fracture risk and treatment effects, high-resolution peripheral quantitative computed tomography (CT) currently plays a central role, and a large number of recent studies have used this technique to study trabecular and cortical bone architecture. Other techniques to analyze bone quality include multidetector CT, magnetic resonance imaging, and quantitative ultrasonography. In addition to quantitative imaging techniques measuring bone density and quality, imaging needs to be used to diagnose prevalent osteoporotic fractures, such as spine fractures on chest radiographs and sagittal multidetector CT reconstructions. Radiologists need to be sensitized to the fact that the presence of fragility fractures will alter patient care, and these fractures need to be described in the report. This review article covers state-of-the-art imaging techniques to measure bone mineral density, describes novel techniques to study bone quality, and focuses on how standard imaging techniques should be used to diagnose prevalent osteoporotic fractures.

Advanced imaging assessment of bone fragility in glucocorticoid-induced osteoporosis

Advanced bone imaging techniques provide structural information, beyond bone mineral density (BMD), and growing evidence indicates that BMD only partially explains bone strength and fracture resistance. Assessing glucocorticoid-induced osteoporosis (GIO) is important, especially the documentation of glucocorticoid (GC) impact on trabecular and cortical bone and on macro and microstructural features. Advanced methods for assessing macrostructure of bone include volumetric quantitative computed tomography (vQCT), high-resolution computed tomography (hrCT), and high-resolution magnetic resonance imaging (hrMRI). The methods for assessing bone microstructure include micro computed tomography (μCT) and micro magnetic resonance imaging (μMRI). Many advanced imaging techniques have been used in vitro and in vivo to examine structural effects of GIO in animals and in humans, and these applications are explored in this review. In human in vitro studies, investigators have used standard bone histomorphometry and μCT to compare trabecular microarchitecture and bone remodeling in postmenopausal women and in males with GIO, and have found that high-dose GC produces dramatic bone loss, accompanied by major reduction in trabecular connectivity and increases in trabecular perforations. In animal studies, investigators have used standard histomorphometry along with pQCT, vQCT, hrMRI or μCT to examine GIO in a variety of animal models including rats, minipigs and sheep. They generally have found excellent relationships between treatment-induced structural changes assessed by these advanced imaging techniques and changes in BMD and biomechanical properties. They also have examined various therapeutic interventions in animals and monitored their efficacy using quantitative imaging methods. In human in vivo studies, investigators have serially examined postmenopausal women and males with GIO in order to assess the extent of skeletal deterioration and to determine the best advanced measures of BMD and structure, with which to monitor disease activity and therapeutic response, and to predict fracture risk. They generally have found that bone density and structural measures obtained by pQCT, vQCT and hrMRI contributed substantially to understanding the skeletal effects of glucocorticoids and to predicting the risk of fracture in human GIO. These animal and human applications, illustrating advanced imaging in GIO, are still in early stages of development. However, as discussed in this review, the novelty and power of the imaging approaches are compelling, and their utility is promising.