Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology

Garijo, N.; Martínez, Javier Martínez; García-Aznar, J.M.; Pérez, M.Á.

doi:10.1016/j.cma.2013.10.005

Cited by 30 publications

(19 citation statements)

References 47 publications

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“…Despite these simplifications, the phenomenological approach here proposed presents practical implications that allow to create FE-based model specific for one patient taking into account the exact geometries of the bone fractures. The combination of this methodology with others based for example on artificial neuronal networks (Garijo et al,2014) to estimate patient-specific loads will allow in a future to help the surgeons to apply patient-specific treatments. Actually, given the bone geometry corresponding to a patient and its fracture characteristics as the input data, we will be able to estimate the stiffness and the optimal position of the fixator for this specific patient.…”

Section: Discussionmentioning

confidence: 99%

Biomechanical assessment and clinical analysis of different intramedullary nailing systems for oblique fractures

Alierta¹,

Pérez

Seral

et al. 2015

Computer Methods in Biomechanics and Biomedical Engineering

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The aim of this study is to evaluate the fracture union or non-union for a specific patient that presented oblique fractures in tibia and fibula, using a mechanistic-based bone healing model. Normally, this kind of fractures can be treated through an intramedullary nail using two possible configurations that depends on the mechanical stabilisation: static and dynamic. Both cases are simulated under different fracture geometries in order to understand the effect of the mechanical stabilisation on the fracture healing outcome. The results of both simulations are in good agreement with previous clinical experience. From the results, it is demonstrated that the dynamization of the fracture improves healing in comparison with a static or rigid fixation of the fracture. This work shows the versatility and potential of a mechanistic-based bone healing model to predict the final outcome (union, non-union, delayed union) of realistic 3D fractures where even more than one bone is involved.

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Section: Discussionmentioning

confidence: 99%

Biomechanical assessment and clinical analysis of different intramedullary nailing systems for oblique fractures

Alierta¹,

Pérez

Seral

et al. 2015

Computer Methods in Biomechanics and Biomedical Engineering

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“…These techniques have also been applied to different clinical applications like the assessment of electrocardiograms, diagnosis of breast cancer, prediction of femur loads, or optimization of hip implant geometries. [24][25][26][27][28] They have also been used for treating cardiovascular diseases. [29][30][31][32][33] MLT's can be proposed as good candidates to identify different material model parameters, and we strongly believe that the use of these mathematical tools could successfully help to improve the characterization of soft biological tissues.…”

Section: Which Includes Microstructural Information In the Model By Mmentioning

confidence: 99%

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2020

IJBSBE

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“…] model (90% of the data) and another one (10% of the data) to validate or test the model. This process is performed 10 times (10-fold cross), changing the segments for validation or testing in each process (Garijo et al, 2014b).…”

Section: Appendix B Regions Of Interest For the Tibiamentioning

confidence: 99%

“…Zadpoor et al (2013) also used ANN to predict tissue adaptation loads from a given density distribution of trabecular bone in a 2D example of the femur. Garijo et al (2014b) presented a numerical methodology in which the specific load that the bone was actually supporting was predicted through different mathematical techniques by utilizing the bone density distribution obtained from bone remodeling simulations. They used a single femur, and they theoretically predicted the loading conditions that induced a virtual bone density distribution with good accuracy using ANN.…”

Section: Introductionmentioning

confidence: 99%

Subject-specific musculoskeletal loading of the tibia: Computational load estimation

Garijo¹,

Engelborghs²,

Aznar³

et al. 2017

Journal of the Mechanical Behavior of Biomedical Materials

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The systematic development of subject-specific computer models for the analysis of personalized treatments is currently a reality. In fact, many advances have recently been developed for creating virtual finite element-based models. These models accurately recreate subject-specific geometries and material properties from recent techniques based on quantitative image analysis. However, to determine the subject-specific forces, we need a full gait analysis, typically in combination with an inverse dynamics simulation study. In this work, we aim to determine the subject-specific forces from the computer tomography images used to evaluate bone density. In fact, we propose a methodology that combines these images with bone remodelling simulations and artificial neural networks. To test the capability of this novel technique, we quantify the personalized forces for five subject-specific tibias using our technique and a gait analysis. We compare both results, finding that similar vertical loads are estimated by both methods and that the dominant part of the load can be reliably computed. Therefore, we can conclude that the numerical-based technique proposed in this work has great potential for estimating the main forces that define the mechanical behaviour of subject-specific bone.

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Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology

Cited by 30 publications

References 47 publications

Biomechanical assessment and clinical analysis of different intramedullary nailing systems for oblique fractures

Biomechanical assessment and clinical analysis of different intramedullary nailing systems for oblique fractures

Untitled

Subject-specific musculoskeletal loading of the tibia: Computational load estimation

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