Abstract

ABSTRACTObjective:This work evaluates the relationship between ultrasonic reflection and bone density from fourteen cylindrical bovine cortical bone samples (3.0-cm thick).Methods:Twenty US reflection signals per sample were acquired along the bone surface (2.0-mm step). The Integrated Reflection Coefficient (IRC) from each signal was compared to Quantitative Computed Tomography (QCT).Results:Seven IRC and QCT curves presented Pearson's Correlation R-values above 0.5. For weak correlation curves, QCT and IRC showed similar trends in several segments.Conclusion:IRC was sensitive to bone density variation. Level of Evidence: Experimental Study, Investigating a Diagnostic Test.

Highlights

  • Aging, trauma and other biological conditions like or osteogenesis imperfecta, osteomalacia, bone metastasis and osteoporosis can affect bone physical properties

  • The Integrated Reflection Coefficient (IRC) from each signal was compared to Quantitative Computed Tomography (QCT)

  • From the health system point of view, it represents a financial cost as for instance, in USA, more than 2 million fractures were associated with osteoporosis in 2005 and it is estimated that the number of cases will increase up to 3 million in 2025.1 Densitometry is the gold standard for diagnosis of osteopenia, osteoporosis and bone tissue evaluation

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Summary

INTRODUCTION

Trauma and other biological conditions like or osteogenesis imperfecta, osteomalacia, bone metastasis and osteoporosis can affect bone physical properties. Osteoporosis is the more common disease and is characterized by bone mass loss, affecting the microarchitecture of cortical and trabecular bone leading to increased susceptibility to fracture caused by low-impact trauma. Such injury may lead to disability, morbidity and mortality of individuals. The potential advantage of QUS compared to bone densitometry for characterization of bone fragility and fracture risk is its stronger. 2018;26(4):[255-9] relation to bone mechanical properties.[4] Densitometry uses density to indirectly estimate bone fragility. Exploring reflection properties can be useful in assessing the composition and characteristics of cortical bone, offering additional data for bone characterization. The reflection was characterized by Integrated Reflection Coefficient (IRC) and compared to QCT values

MATERIALS AND METHODS
RESULTS
DISCUSSION
IRC QCT
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