1. Osteoporosis
1.1 Development of Optimizing Treatment in Osteoporotic Bone
The specific aim of this study is to establish a series of animal models with different bone properties and to establish correlations between the structural (from CT scans), mechanical (from biomechanical testing) and biological markers (tissue and serum analysis).
The purpose of investigating these relationships between the properties is to find an improved tool for predicting the risk of fractures in diseased and degenerative bone. By administering the OVX rat model with either PTH, bisphosphonates or a combination of PTH and bisphosphonates, we hope to establish a series of different bone properties, and be able to establish a correlation between the structural, mechanical and biological properties of the bones. The relationships determined from the correlation studies will allow us to establish an improved index for predicting failure loads using CT-based structural analysis.
The study will also allow us to test the hypothesis that the concurrent administration of the two agents (with different dosage combinations) would alter the biomechanical properties and morphological indices more than the use of either one alone. This will provide new data towards optimizing the treatment used, as one application of this proposed clinical tool.
Research Question: As parathyroid hormone (PTH) increases both bone formation and bone resorption and bisphosphonates are known to inhibit osteoclast-mediated bone resorption and reduce bone turn over, we ask if treatment with a combination of PTH with an anti-resorptive bisphosphonate agent (Ibandronate, IBAN) would result in better bone mass and strength in ovariectomized rats.

1.2 New predicting criteria of elderly bone fracture: Instability
The objective of this project is to use a deformable, realistic 3-D model of the proximal femur to show that the normal aging process can cause it to become structurally unstable so that fractures are more likely to occur around femoral neck.
In this study, Finite Strip Method is employed to access the critical local buckling load of the narrowest site of femoral neck while Mimics and ImageJ are used to process the original CT images of human cadaver femurs. In order to make the results more realistic, the variation of bone mineral density (BMD) is incorporated in the instability analysis by modifying the bone elastic modulus and yield strength for different age simulated samples.
According to our preliminary study, when the bone ages, the maximum single-legged stance strength is almost unchanged while it can lose stability in non-physiological loading scenarios, for instance, fall on the greater trochanter. Voronoi tessellation will be used to incorporate trabecular bone into the femoral neck models in future, as the current models take only the cortical part into account. Employing the Voronoi tessellation (Fig. 1) for the spatial geometry of the trabecular bone affords significant advantages when considering the uncertain nature of the actual trabecular geometry, due to insufficient image resolution. In order to realistically model the impact of trabecular bone on the overall bone instability, we perform the Voronoi tessellation using nucleation points at uniform spacing such that the trabecular bone volume fraction is same for the FSM model as that of the CT scan image representing a femoral neck cross section.

1.3 New Standard of defining Bone Quality: Viscoelasticity
The current screening modalities that are commonly used to diagnose and evaluate osteoporosis (OP) in the human (e.g., DXA, QCT, QUA) measure the mineral density and/or porosity of the structure. These tests are currently neither sensitive nor specific for fracture risk assessment on an individual basis before quite large changes are evident [ref]. Changes in viscoelastic properties that are unaccompanied by changes in mineral density or microarchitecture could potentially lead to either an increase or a decrease in the risk of fracture that would be unrelated to the findings of these clinical tests. Accounting for time-dependent bone material properties in screening protocols could improve these protocols’ predictive value. |