Evaluation and Validation of Thorax Model Responses: A Hierarchical Approach to Achieve High Biofidelity for Thoracic Musculoskeletal System.

biofidelity finite element method injury biomechanics musculoskeletal system thoracic spine thorax model validation

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2021
Historique:
received: 20 05 2021
accepted: 28 06 2021
entrez: 2 8 2021
pubmed: 3 8 2021
medline: 3 8 2021
Statut: epublish

Résumé

As one of the most frequently occurring injuries, thoracic trauma is a significant public health burden occurring in road traffic crashes, sports accidents, and military events. The biomechanics of the human thorax under impact loading can be investigated by computational finite element (FE) models, which are capable of predicting complex thoracic responses and injury outcomes quantitatively. One of the key challenges for developing a biofidelic FE model involves model evaluation and validation. In this work, the biofidelity of a mid-sized male thorax model has been evaluated and enhanced by a multi-level, hierarchical strategy of validation, focusing on injury characteristics, and model improvement of the thoracic musculoskeletal system. At the component level, the biomechanical responses of several major thoracic load-bearing structures were validated against different relevant experimental cases in the literature, including the thoracic intervertebral joints, costovertebral joints, clavicle, sternum, and costal cartilages. As an example, the thoracic spine was improved by accurate representation of the components, material properties, and ligament failure features at tissue level then validated based on the quasi-static response at the segment level, flexion bending response at the functional spinal unit level, and extension angle of the whole thoracic spine. At ribcage and full thorax levels, the thorax model with validated bony components was evaluated by a series of experimental testing cases. The validation responses were rated above 0.76, as assessed by the CORA evaluation system, indicating the model exhibited overall good biofidelity. At both component and full thorax levels, the model showed good computational stability, and reasonable agreement with the experimental data both qualitatively and quantitatively. It is expected that our validated thorax model can predict thorax behavior with high biofidelity to assess injury risk and investigate injury mechanisms of the thoracic musculoskeletal system in various impact scenarios. The relevant validation cases established in this study shall be directly used for future evaluation of other thorax models, and the validation approach and process presented here may provide an insightful framework toward multi-level validating of human body models.

Identifiants

pubmed: 34336812
doi: 10.3389/fbioe.2021.712656
pmc: PMC8324103
doi:

Types de publication

Journal Article

Langues

eng

Pagination

712656

Informations de copyright

Copyright © 2021 Zeng, Mukherjee, Caudillo, Forman and Panzer.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Traffic Inj Prev. 2015;16 Suppl 1:S57-65
pubmed: 26027976
Stapp Car Crash J. 2005 Nov;49:251-69
pubmed: 17096277
J Biomech Eng. 2008 Apr;130(2):021022
pubmed: 18412509
Appl Bionics Biomech. 2018 Nov 13;2018:3832850
pubmed: 30538770
J Biomech. 2008;41(1):200-7
pubmed: 17697683
J Biomech Eng. 2005 Jun;127(3):364-73
pubmed: 16060343
Stapp Car Crash J. 2005 Nov;49:231-49
pubmed: 17096276
J Biomech. 2009 Mar 11;42(4):480-90
pubmed: 19200548
Ann Adv Automot Med. 2011;55:193-206
pubmed: 22105396
Stapp Car Crash J. 2005 Nov;49:291-322
pubmed: 17096279
Biomed Sci Instrum. 2010;46:440-5
pubmed: 20467120
Traffic Inj Prev. 2015;16 Suppl 1:S66-74
pubmed: 26027977
J Mech Behav Biomed Mater. 2014 May;33:55-66
pubmed: 23466282
Traffic Inj Prev. 2013;14 Suppl:S87-94
pubmed: 23905846
J Mech Behav Biomed Mater. 2017 May;69:420-434
pubmed: 28262607
Stapp Car Crash J. 2004 Nov;48:495-519
pubmed: 17230280
Comput Methods Biomech Biomed Engin. 2017 Sep;20(12):1273-1288
pubmed: 28701050
J Biomech. 2018 Mar 1;69:54-63
pubmed: 29373114
Med Eng Phys. 2010 Nov;32(9):998-1008
pubmed: 20674456
Ann Biomed Eng. 2016 Jan;44(1):258-71
pubmed: 26126484
Traffic Inj Prev. 2015;16 Suppl 1:S36-48
pubmed: 26027974
Med Eng Phys. 2011 Nov;33(9):1147-59
pubmed: 21665513
J Bone Joint Surg Am. 1972 Apr;54(3):511-33
pubmed: 5055150
Ann Biomed Eng. 2011 Oct;39(10):2568-83
pubmed: 21785882
J Biomech. 2014 Aug 22;47(11):2563-70
pubmed: 24975696
Stapp Car Crash J. 2009 Nov;53:155-91
pubmed: 20058554
Comput Methods Biomech Biomed Engin. 2015;18(5):556-70
pubmed: 23947597
Med Eng Phys. 2010 Mar;32(2):222-7
pubmed: 20036178
Traffic Inj Prev. 2019;20(6):607-612
pubmed: 31283362
Ann Biomed Eng. 2020 Jan;48(1):258-270
pubmed: 31520331
J Biomech. 1985;18(3):167-76
pubmed: 3997901
Stapp Car Crash J. 2006 Nov;50:429-90
pubmed: 17311173
J Biomech Eng. 2010 Sep;132(9):094501
pubmed: 20815649
Traffic Inj Prev. 2019;20(sup2):S1-S6
pubmed: 31364878
J Mech Behav Biomed Mater. 2015 May;45:45-64
pubmed: 25681717
J Biomech. 2015 Sep 18;48(12):3219-26
pubmed: 26184586
Stapp Car Crash J. 2010 Nov;54:407-30
pubmed: 21512916
Ann Adv Automot Med. 2012;56:109-24
pubmed: 23169122
Accid Anal Prev. 2012 Jul;47:128-39
pubmed: 22342960
Stapp Car Crash J. 2010 Nov;54:337-80
pubmed: 21512914

Auteurs

Wei Zeng (W)

Center for Applied Biomechanics, University of Virginia, Charlottesville, VA, United States.

Sayak Mukherjee (S)

Center for Applied Biomechanics, University of Virginia, Charlottesville, VA, United States.

Adrian Caudillo (A)

Center for Applied Biomechanics, University of Virginia, Charlottesville, VA, United States.

Jason Forman (J)

Center for Applied Biomechanics, University of Virginia, Charlottesville, VA, United States.

Matthew B Panzer (MB)

Center for Applied Biomechanics, University of Virginia, Charlottesville, VA, United States.

Classifications MeSH