3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases

Bone ◽  
2019 ◽  
Vol 121 ◽  
pp. 89-99 ◽  
Author(s):  
Carlos Ruiz Wills ◽  
Andy Luis Olivares ◽  
Simone Tassani ◽  
Mario Ceresa ◽  
Veronika Zimmer ◽  
...  
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 44 (10) ◽  
pp. 2948-2956 ◽  
Author(s):  
Mhd Hassan Albogha ◽  
Toru Kitahara ◽  
Mitsugu Todo ◽  
Hiroto Hyakutake ◽  
Ichiro Takahashi

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

1996 ◽  
Vol 43 (3) ◽  
pp. 333-337 ◽  
Author(s):  
N. Shrinidhi ◽  
D.R. Haynor ◽  
Yanqun Wang ◽  
D.B. Jorgenson ◽  
G.H. Bardy ◽  
...  

2006 ◽  
Vol 129 (3) ◽  
pp. 297-309 ◽  
Author(s):  
Zohar Yosibash ◽  
Royi Padan ◽  
Leo Joskowicz ◽  
Charles Milgrom

The prediction of patient-specific proximal femur mechanical response to various load conditions is of major clinical importance in orthopaedics. This paper presents a novel, empirically validated high-order finite element method (FEM) for simulating the bone response to loads. A model of the bone geometry was constructed from a quantitative computerized tomography (QCT) scan using smooth surfaces for both the cortical and trabecular regions. Inhomogeneous isotropic elastic properties were assigned to the finite element model using distinct continuous spatial fields for each region. The Young’s modulus was represented as a continuous function computed by a least mean squares method. p-FEMs were used to bound the simulation numerical error and to quantify the modeling assumptions. We validated the FE results with in-vitro experiments on a fresh-frozen femur loaded by a quasi-static force of up to 1500N at four different angles. We measured the vertical displacement and strains at various locations and investigated the sensitivity of the simulation. Good agreement was found for the displacements, and a fair agreement found in the measured strain in some of the locations. The presented study is a first step toward a reliable p-FEM simulation of human femurs based on QCT data for clinical computer aided decision making.


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