APS March Meeting 2014
Volume 59, Number 1
Monday–Friday, March 3–7, 2014;
Denver, Colorado
Session Y38: Invited Session: Quantitative Biomedical Imaging
8:00 AM–11:00 AM,
Friday, March 7, 2014
Room: 709/711
Sponsoring
Unit:
GIMS
Chair: Ron Goldfarb, National Institute of Standards and Technology, Boulder
Abstract ID: BAPS.2014.MAR.Y38.3
Abstract: Y38.00003 : High Resolution Peripheral Quantitative Computed Tomography for Assessment of Bone Quality
9:12 AM–9:48 AM
Preview Abstract
Abstract
Author:
Galateia Kazakia
(University of California San Francisco)
The study of bone quality is motivated by the high morbidity, mortality, and
societal cost of skeletal fractures. Over 10 million people are diagnosed
with osteoporosis in the US alone, suffering 1.5 million osteoporotic
fractures and costing the health care system over {\$}17 billion annually.
Accurate assessment of fracture risk is necessary to ensure that
pharmacological and other interventions are appropriately administered.
Currently, areal bone mineral density (aBMD) based on 2D dual-energy X-ray
absorptiometry (DXA) is used to determine osteoporotic status and predict
fracture risk. Though aBMD is a significant predictor of fracture risk, it
does not completely explain bone strength or fracture incidence. The major
limitation of aBMD is the lack of 3D information, which is necessary to
distinguish between cortical and trabecular bone and to quantify bone
geometry and microarchitecture. High resolution peripheral quantitative
computed tomography (HR-pQCT) enables in vivo assessment of volumetric BMD
within specific bone compartments as well as quantification of geometric and
microarchitectural measures of bone quality. HR-pQCT studies have documented
that trabecular bone microstructure alterations are associated with fracture
risk independent of aBMD.... Cortical bone microstructure -- specifically
porosity -- is a major determinant of strength, stiffness, and fracture
toughness of cortical tissue and may further explain the aBMD-independent
effect of age on bone fragility and fracture risk. The application of finite
element analysis (FEA) to HR-pQCT data permits estimation of
patient-specific bone strength, shown to be associated with fracture
incidence independent of aBMD. This talk will describe the HR-pQCT scanner,
established metrics of bone quality derived from HR-pQCT data, and novel
analyses of bone quality currently in development. Cross-sectional and
longitudinal HR-pQCT studies investigating the impact of aging, disease,
injury, gender, race, and therapeutics on bone quality will be discussed.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2014.MAR.Y38.3