TY - JOUR
T1 - Quantitative computed tomography-based finite element analysis predictions of femoral strength and stiffness depend on computed tomography settings
AU - Dragomir-Daescu, Dan
AU - Salas, Christina
AU - Uthamaraj, Susheil
AU - Rossman, Timothy
N1 - Funding Information:
The authors wish to thank Rachel Entwistle, Jim Bronk, Sean McEligot, Vishwas Mathur, Ian Gerstel, Viorel Hodis, Dr. Ramesh Ragupathy, Dr. Sudeep Sastry, Dr. Jodie Christner, Dr. Cynthia McCollough, Mike Burke, and Larry Berglund for their valuable contributions to this study. This study was financially supported by The Grainger Foundation: The Grainger Innovation Fund and NIH Grant AR027065Z-30S1 . Study sponsors had no involvement in study design, data analysis collection or interpretation, or writing of the manuscript. This publication was made possible by CTSA Grant number UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH) . The authors thank the Opus CT Imaging Resource of Mayo Clinic (NIH construction Grant RR018898 ) for CT imaging.
Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2015/1/2
Y1 - 2015/1/2
N2 - The aim of the present study was to compare proximal femur strength and stiffness obtained experimentally with estimations from Finite Element Analysis (FEA) models derived from Quantitative Computed Tomography (QCT) scans acquired at two different scanner settings. QCT/FEA models could potentially aid in diagnosis and treatment of osteoporosis but several drawbacks still limit their predictive ability. One potential reason is that the models are still sensitive to scanner settings which could lead to changes in assigned material properties, thus limiting their results accuracy and clinical effectiveness. To find the mechanical properties we fracture tested 44 proximal femora in a sideways fall-on-the-hip configuration. Before testing, we CT scanned all femora twice, first at high resolution scanner settings, and second at low resolution scanner settings and built 88 QCT/FEA models of femoral strength and stiffness. The femoral set neck bone mineral density, as measured by DXA, uniformly covered the range from osteoporotic to normal. This study showed that the femoral strength and stiffness values predicted from high and low resolution scans were significantly different (p<0.0001). Strength estimated from high resolution QCT scans was larger for osteoporotic, but smaller for normal and osteopenic femora when compared to low resolution scans. In addition, stiffness estimated from high resolution scans was consistently larger than stiffness obtained from low resolution scans over the entire femoral dataset. While QCT/FEA techniques hold promise for use in clinical settings we provided evidence that further improvements are required to increase robustness in their predictive power under different scanner settings and modeling assumptions.
AB - The aim of the present study was to compare proximal femur strength and stiffness obtained experimentally with estimations from Finite Element Analysis (FEA) models derived from Quantitative Computed Tomography (QCT) scans acquired at two different scanner settings. QCT/FEA models could potentially aid in diagnosis and treatment of osteoporosis but several drawbacks still limit their predictive ability. One potential reason is that the models are still sensitive to scanner settings which could lead to changes in assigned material properties, thus limiting their results accuracy and clinical effectiveness. To find the mechanical properties we fracture tested 44 proximal femora in a sideways fall-on-the-hip configuration. Before testing, we CT scanned all femora twice, first at high resolution scanner settings, and second at low resolution scanner settings and built 88 QCT/FEA models of femoral strength and stiffness. The femoral set neck bone mineral density, as measured by DXA, uniformly covered the range from osteoporotic to normal. This study showed that the femoral strength and stiffness values predicted from high and low resolution scans were significantly different (p<0.0001). Strength estimated from high resolution QCT scans was larger for osteoporotic, but smaller for normal and osteopenic femora when compared to low resolution scans. In addition, stiffness estimated from high resolution scans was consistently larger than stiffness obtained from low resolution scans over the entire femoral dataset. While QCT/FEA techniques hold promise for use in clinical settings we provided evidence that further improvements are required to increase robustness in their predictive power under different scanner settings and modeling assumptions.
KW - CT resolution
KW - Femur fracture
KW - Finite Element Analysis
KW - Osteoporosis
KW - Quantitative Computed Tomography
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U2 - 10.1016/j.jbiomech.2014.09.016
DO - 10.1016/j.jbiomech.2014.09.016
M3 - Article
C2 - 25442008
AN - SCOPUS:84921959822
SN - 0021-9290
VL - 48
SP - 153
EP - 161
JO - Journal of Biomechanics
JF - Journal of Biomechanics
IS - 1
ER -