Literature DB >> 26944687

How accurately can subject-specific finite element models predict strains and strength of human femora? Investigation using full-field measurements.

Lorenzo Grassi1, Sami P Väänänen2, Matti Ristinmaa3, Jukka S Jurvelin4, Hanna Isaksson5.   

Abstract

Subject-specific finite element models have been proposed as a tool to improve fracture risk assessment in individuals. A thorough laboratory validation against experimental data is required before introducing such models in clinical practice. Results from digital image correlation can provide full-field strain distribution over the specimen surface during in vitro test, instead of at a few pre-defined locations as with strain gauges. The aim of this study was to validate finite element models of human femora against experimental data from three cadaver femora, both in terms of femoral strength and of the full-field strain distribution collected with digital image correlation. The results showed a high accuracy between predicted and measured principal strains (R(2)=0.93, RMSE=10%, 1600 validated data points per specimen). Femoral strength was predicted using a rate dependent material model with specific strain limit values for yield and failure. This provided an accurate prediction (<2% error) for two out of three specimens. In the third specimen, an accidental change in the boundary conditions occurred during the experiment, which compromised the femoral strength validation. The achieved strain accuracy was comparable to that obtained in state-of-the-art studies which validated their prediction accuracy against 10-16 strain gauge measurements. Fracture force was accurately predicted, with the predicted failure location being very close to the experimental fracture rim. Despite the low sample size and the single loading condition tested, the present combined numerical-experimental method showed that finite element models can predict femoral strength by providing a thorough description of the local bone mechanical response.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bone strength; Experimental validation; Finite element; Human femur

Mesh:

Year:  2016        PMID: 26944687     DOI: 10.1016/j.jbiomech.2016.02.032

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  11 in total

Review 1.  Sideways fall-induced impact force and its effect on hip fracture risk: a review.

Authors:  M Nasiri Sarvi; Y Luo
Journal:  Osteoporos Int       Date:  2017-07-20       Impact factor: 4.507

2.  Correction to: Prediction of femoral strength using 3D finite element models reconstructed from DXA images: validation against experiments.

Authors:  Lorenzo Grassi; Sami P Väänänen; Matti Ristinmaa; Jukka S Jurvelin; Hanna Isaksson
Journal:  Biomech Model Mechanobiol       Date:  2019-08

3.  Optimizing Accuracy of Proximal Femur Elastic Modulus Equations.

Authors:  Asghar Rezaei; Kent D Carlson; Hugo Giambini; Samad Javid; Dan Dragomir-Daescu
Journal:  Ann Biomed Eng       Date:  2019-03-12       Impact factor: 3.934

4.  The Influence of Static Load and Sideways Impact Fall on Extramedullary Bone Plates Used to Treat Intertrochanteric Femoral Fracture: A Preclinical Strength Assessment.

Authors:  Pratik Nag; Bhaskar Borgohain; Kashif Akhtar Ahmed; Pranjal Phukan; Neeraj Kumar; Alireza Borjali; Kartik Mangudi Varadarajan; Souptick Chanda
Journal:  Ann Biomed Eng       Date:  2022-07-12       Impact factor: 4.219

5.  A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation.

Authors:  Timothy Rossman; Susheil Uthamaraj; Asghar Rezaei; Sean McEligot; Hugo Giambini; Iwona Jasiuk; Michael J Yaszemski; Lichun Lu; Dan Dragomir-Daescu
Journal:  J Vis Exp       Date:  2017-09-14       Impact factor: 1.355

6.  Prediction of femoral strength using 3D finite element models reconstructed from DXA images: validation against experiments.

Authors:  Lorenzo Grassi; Sami P Väänänen; Matti Ristinmaa; Jukka S Jurvelin; Hanna Isaksson
Journal:  Biomech Model Mechanobiol       Date:  2016-12-21

7.  Some Practical Considerations for Compression Failure Characterization of Open-Cell Polyurethane Foams Using Digital Image Correlation.

Authors:  Ricardo Belda; Raquel Megías; Norberto Feito; Ana Vercher-Martínez; Eugenio Giner
Journal:  Sensors (Basel)       Date:  2020-07-25       Impact factor: 3.576

8.  Biomechanical analysis of the correlation between mid-shaft atypical femoral fracture (AFF) and axial varus deformation.

Authors:  Mathieu Severyns; Dalila Belaid; Kevin Aubert; Ali Bouchoucha; Arnaud Germaneau; Tanguy Vendeuvre
Journal:  J Orthop Surg Res       Date:  2022-03-15       Impact factor: 2.359

9.  Experimental validation of a voxel-based finite element model simulating femoroplasty of lytic lesions in the proximal femur.

Authors:  Amelie Sas; An Sermon; G Harry van Lenthe
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.996

10.  Comparative analysis of the biomechanical behavior of two different design metaphyseal-fitting short stems using digital image correlation.

Authors:  I Tatani; P Megas; A Panagopoulos; I Diamantakos; Ph Nanopoulos; Sp Pantelakis
Journal:  Biomed Eng Online       Date:  2020-08-19       Impact factor: 2.819

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