Literature DB >> 24522784

Effects of densitometry, material mapping and load estimation uncertainties on the accuracy of patient-specific finite-element models of the scapula.

Gianni Campoli1, Bart Bolsterlee, Frans van der Helm, Harrie Weinans, Amir A Zadpoor.   

Abstract

Patient-specific biomechanical models including patient-specific finite-element (FE) models are considered potentially important tools for providing personalized healthcare to patients with musculoskeletal diseases. A multi-step procedure is often needed to generate a patient-specific FE model. As all involved steps are associated with certain levels of uncertainty, it is important to study how the uncertainties of individual components propagate to final simulation results. In this study, we considered a specific case of this problem where the uncertainties of the involved steps were known and the aim was to determine the uncertainty of the predicted strain distribution. The effects of uncertainties of three important components of patient-specific models, including bone density, musculoskeletal loads and the parameters of the material mapping relationship on the predicted strain distributions, were studied. It was found that the number of uncertain components and the level of their uncertainty determine the uncertainty of simulation results. The 'average' uncertainty values were found to be relatively small even for high levels of uncertainty in the components of the model. The 'maximum' uncertainty values were, however, quite high and occurred in the areas of the scapula that are of the greatest clinical relevance. In addition, the uncertainty of the simulation result was found to be dependent on the type of movement analysed, with abduction movements presenting consistently lower uncertainty values than flexion movements.

Entities:  

Keywords:  finite-element models; patient-specific modelling; sensitivity; shoulder joint

Mesh:

Year:  2014        PMID: 24522784      PMCID: PMC3928945          DOI: 10.1098/rsif.2013.1146

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  45 in total

1.  Effects of muscle fatigue on the ground reaction force and soft-tissue vibrations during running: a model study.

Authors:  Ali Asadi Nikooyan; Amir Abbas Zadpoor
Journal:  IEEE Trans Biomed Eng       Date:  2011-12-14       Impact factor: 4.538

2.  Finite element-based probabilistic analysis tool for orthopaedic applications.

Authors:  Sarah K Easley; Saikat Pal; Paul R Tomaszewski; Anthony J Petrella; Paul J Rullkoetter; Peter J Laz
Journal:  Comput Methods Programs Biomed       Date:  2006-11-07       Impact factor: 5.428

3.  A model-based parametric study of impact force during running.

Authors:  Amir Abbas Zadpoor; Ali Asadi Nikooyan; Ahmad Reza Arshi
Journal:  J Biomech       Date:  2006-11-07       Impact factor: 2.712

4.  Patient-specific finite element analysis of the human femur--a double-blinded biomechanical validation.

Authors:  Nir Trabelsi; Zohar Yosibash; Christof Wutte; Peter Augat; Sebastian Eberle
Journal:  J Biomech       Date:  2011-04-15       Impact factor: 2.712

5.  Subject-specific finite element models implementing a maximum principal strain criterion are able to estimate failure risk and fracture location on human femurs tested in vitro.

Authors:  Enrico Schileo; Fulvia Taddei; Luca Cristofolini; Marco Viceconti
Journal:  J Biomech       Date:  2007-11-19       Impact factor: 2.712

6.  Modelling the mechanical effect of muscles with large attachment sites: application to the shoulder mechanism.

Authors:  F C Van der Helm; R Veenbaas
Journal:  J Biomech       Date:  1991       Impact factor: 2.712

7.  Stress tensor field visualization for implant planning in orthopedics.

Authors:  Christian Dick; Joachim Georgii; Rainer Burgkart; Rüdiger Westermann
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

8.  Prediction of femoral fracture load using automated finite element modeling.

Authors:  J H Keyak; S A Rossi; K A Jones; H B Skinner
Journal:  J Biomech       Date:  1998-02       Impact factor: 2.712

9.  Sensitivity of patient-specific vertebral finite element model from low dose imaging to material properties and loading conditions.

Authors:  Christophe Travert; Erwan Jolivet; Emilie Sapin-de Brosses; David Mitton; Wafa Skalli
Journal:  Med Biol Eng Comput       Date:  2011-09-17       Impact factor: 2.602

10.  Use of general purpose mechanical computer assisted engineering software in orthopaedic surgical planning: advantages and limitations.

Authors:  C J Sutherland; S J Bresina; D E Gayou
Journal:  Comput Med Imaging Graph       Date:  1994 Nov-Dec       Impact factor: 4.790

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  3 in total

1.  Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift.

Authors:  Dirk Lehmhus; Thorsten Wuest; Stefan Wellsandt; Stefan Bosse; Toshiya Kaihara; Klaus-Dieter Thoben; Matthias Busse
Journal:  Sensors (Basel)       Date:  2015-12-19       Impact factor: 3.576

Review 2.  Finite element models of the human shoulder complex: a review of their clinical implications and modelling techniques.

Authors:  Manxu Zheng; Zhenmin Zou; Paulo Jorge Da Silva Bartolo; Chris Peach; Lei Ren
Journal:  Int J Numer Method Biomed Eng       Date:  2016-03-22       Impact factor: 2.747

Review 3.  Quantitative Computed Tomography (QCT) derived Bone Mineral Density (BMD) in finite element studies: a review of the literature.

Authors:  Nikolas K Knowles; Jacob M Reeves; Louis M Ferreira
Journal:  J Exp Orthop       Date:  2016-12-09
  3 in total

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