Ct-based finite element models can be used to estimate experimentally measured failure loads in the proximal femur

Bone ◽  
2012 ◽  
Vol 50 (4) ◽  
pp. 824-829 ◽  
Author(s):  
Janne E.M. Koivumäki ◽  
Jérôme Thevenot ◽  
Pasi Pulkkinen ◽  
Volker Kuhn ◽  
Thomas M. Link ◽  
...  
Bone ◽  
2012 ◽  
Vol 51 (4) ◽  
pp. 737-740 ◽  
Author(s):  
Janne E.M. Koivumäki ◽  
Jérôme Thevenot ◽  
Pasi Pulkkinen ◽  
Volker Kuhn ◽  
Thomas M. Link ◽  
...  

1991 ◽  
Vol 113 (4) ◽  
pp. 353-360 ◽  
Author(s):  
J. C. Lotz ◽  
E. J. Cheal ◽  
W. C. Hayes

Over 90 percent of the more than 250,000 hip fractures that occur annually in the United States are the result of falls from standing height. Despite this, the stresses associated with femoral fracture from a fall have not been investigated previously. Our objectives were to use three-dimensional finite element models of the proximal femur (with geometries and material properties based directly on quantitative computed tomography) to compare predicted stress distributions for one-legged stance and for a fall to the lateral greater trochanter. We also wished to test the correspondence between model predictions and in vitro strain gage data and failure loads for cadaveric femora subjected to these loading conditions. An additional goal was to use the model predictions to compare the sensitivity of several imaging sites in the proximal femur which are used for the in vivo prediction of hip fracture risk. In this first of two parts, linear finite element models of two unpaired human cadaveric femora were generated. In Part II, the models were extended to include nonlinear material properties for the cortical and trabecular bone. While there was poor correspondence between strain gage data and model predictions, there was excellent agreement between the in vitro failure data and the linear model, especially using a von Mises effective strain failure criterion. Both the onset of structural yielding (within 22 and 4 percent) and the load at fracture (within 8 and 5 percent) were predicted accurately for the two femora tested. For the simulation of one-legged stance, the peak stresses occurred in the primary compressive trabeculae of the subcapital region. However, for a simulated fall, the peak stresses were in the intertrochanteric region. The Ward’s triangle (basicervical) site commonly used for the clinical assessment of osteoporosis was not heavily loaded in either situation. These findings suggest that the intertrochanteric region may be the most sensitive site for the assessment of fracture risk due to a fall and the subcapital region for fracture risk due to repetitive activities such as walking.


2016 ◽  
Vol 38 (11) ◽  
pp. 1339-1347 ◽  
Author(s):  
W.S. Enns-Bray ◽  
O. Ariza ◽  
S. Gilchrist ◽  
R.P. Widmer Soyka ◽  
P.J. Vogt ◽  
...  

2001 ◽  
Vol 23 (9) ◽  
pp. 657-664 ◽  
Author(s):  
J.H Keyak ◽  
S.A Rossi ◽  
K.A Jones ◽  
C.M Les ◽  
H.B Skinner

Bone ◽  
2019 ◽  
Vol 121 ◽  
pp. 89-99 ◽  
Author(s):  
Carlos Ruiz Wills ◽  
Andy Luis Olivares ◽  
Simone Tassani ◽  
Mario Ceresa ◽  
Veronika Zimmer ◽  
...  

2021 ◽  
Author(s):  
Amelie Sas ◽  
An Sermon ◽  
G. Harry van Lenthe

Abstract Femoroplasty is a procedure where bone cement is injected percutaneously into a weakened proximal femur. Uncertainty exists whether femoroplasty provides sufficient mechanical strengthening to prevent fractures in patients with femoral bone metastases. Finite element models are promising tools to evaluate the mechanical effectiveness of femoroplasty, but a thorough validation is required. This study validated a voxel-based finite element model against experimental data from eight pairs of human cadaver femurs with artificial metastatic lesions. One femur from each pair was left untreated, while the contralateral femur was augmented with bone cement. Finite element models accurately predicted the femoral strength in the defect (R² = 0.96) and augmented (R² = 0.93) femurs. The modelled surface strain distributions showed a good qualitative match with results from digital image correlation; yet, quantitatively, only moderate correlation coefficients were found for the defect (mean R² = 0.78) and augmented (mean R² = 0.76) femurs. This was attributed to the presence of vessel holes in the femurs and the jagged surface representation of our voxel-based models. Despite some inaccuracies in the surface measurements, the FE models accurately predicted the global bone strength and qualitative deformation behavior, both before and after femoroplasty. Hence, they can offer a useful biomechanical tool to assist clinicians in assessing the need for prophylactic augmentation in patients with metastatic bone disease, as well as in identifying suitable patients for femoroplasty.


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