An anatomical subject-specific FE-model for hip fracture load prediction
被引:50
作者:
Duchemin, L.
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机构:
CNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, FranceCNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
Duchemin, L.
[1
]
Mitton, D.
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机构:
CNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, FranceCNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
Mitton, D.
[1
]
Jolivet, E.
论文数: 0引用数: 0
h-index: 0
机构:
CNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
CNRS, UMR 7052, Expt Radiol Lab, Paris, FranceCNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
Jolivet, E.
[1
,2
]
Bousson, V.
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h-index: 0
机构:
CNRS, UMR 7052, Expt Radiol Lab, Paris, France
Hop Lariboisiere, AP HP, Serv Radiol Osteo Articulaire, F-75475 Paris, FranceCNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
Bousson, V.
[2
,3
]
Laredo, J. D.
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h-index: 0
机构:
CNRS, UMR 7052, Expt Radiol Lab, Paris, France
Hop Lariboisiere, AP HP, Serv Radiol Osteo Articulaire, F-75475 Paris, FranceCNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
Laredo, J. D.
[2
,3
]
Skalli, W.
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h-index: 0
机构:
CNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, FranceCNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
Skalli, W.
[1
]
机构:
[1] CNRS, UMR 8005, ENSAM, Lab Biomecan, Paris, France
[2] CNRS, UMR 7052, Expt Radiol Lab, Paris, France
[3] Hop Lariboisiere, AP HP, Serv Radiol Osteo Articulaire, F-75475 Paris, France
biomechanics;
finite element;
patient-specific;
femur;
hip fracture;
computed tomography;
D O I:
10.1080/10255840701535965
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 [计算机应用技术];
0835 [软件工程];
摘要:
In order to reduce the socio-economic burden induced by osteoporotic hip fractures, finite element models have been evaluated as an additional diagnostic tool for fracture prediction. For a future clinical application, the challenge is to reach the best compromise between model relevance and computing time. Based on this consideration, the current study focused on the development and validation of a subject-specific FE-model using an original parameterised generic model and a specific personalization method. A total of 39 human femurs were tested to failure under a quasi-static compression in stance configuration. The corresponding FE-models were generated and for each specimen the numerical fracture load (F-FEM) was compared with the experimental value (F-EXP), resulting in a significant correlation (F-EXP = 1.006 FFEM with r(2) = 0.87 and SEE = 1220 N, p < 0.05) obtained with a reasonable computing time (30 mn). Further in vivo study should confirm the ability of this FE-model to improve the fracture risk prediction.