Hip fractures are among the most common types of osteoporotic fractures that affect one in three women and one in six men over the age of 50 . It is well known that loss of bone mass, quantified by bone mineral density using Dual-energy X-ray Absorptiometry (DXA), is associated with the increasing risk of bone fractures. However, bone mineral density (BMD) alone cannot fully explain changes in fracture risks [2, 3]. In particular, BMD is not able to predict fracture risks for women with osteopenia, in which a BMD T-score is between −1.0 and −2.5. This suggests additional factors (i.e., bone quality) should be considered in predicting fracture risks .
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Enhancement of Prediction for Hip Fractures Using Stochastic Assessment of Bone Mineral Density Distribution From DXA Images
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Dong, XN, Cussen, P, Lowe, T, Di Paolo, D, & Ballard, J. "Enhancement of Prediction for Hip Fractures Using Stochastic Assessment of Bone Mineral Density Distribution From DXA Images." Proceedings of the ASME 2013 Summer Bioengineering Conference. Volume 1A: Abdominal Aortic Aneurysms; Active and Reactive Soft Matter; Atherosclerosis; BioFluid Mechanics; Education; Biotransport Phenomena; Bone, Joint and Spine Mechanics; Brain Injury; Cardiac Mechanics; Cardiovascular Devices, Fluids and Imaging; Cartilage and Disc Mechanics; Cell and Tissue Engineering; Cerebral Aneurysms; Computational Biofluid Dynamics; Device Design, Human Dynamics, and Rehabilitation; Drug Delivery and Disease Treatment; Engineered Cellular Environments. Sunriver, Oregon, USA. June 26–29, 2013. V01AT08A002. ASME. https://doi.org/10.1115/SBC2013-14227
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