Evidence map›Paper›PMID 27868162›Full record

ArticleBiomechanics and modeling in mechanobiology2017

The choice of a constitutive formulation for modeling limb flexion-induced deformations and stresses in the human femoropopliteal arteries of different ages.

Anastasia Desyatova, Jason MacTaggart, William Poulson, Paul Deegan, Carol Lomneth, Anjali Sandip, Alexey Kamenskiy

Abstract read
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Article in Biomechanics and modeling in mechanobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Anastasia DesyatovaDepartment of Surgery, 987690 Nebraska Medical Center, University of Nebraska Medical Center, Omaha, NE, 68198-7690, USA. Anastasia.Desyatova@unmc.edu.ORCID http://orcid.org/0000-0001-5016-6162
Jason MacTaggartDepartment of Surgery, 987690 Nebraska Medical Center, University of Nebraska Medical Center, Omaha, NE, 68198-7690, USA.
William PoulsonDepartment of Surgery, 987690 Nebraska Medical Center, University of Nebraska Medical Center, Omaha, NE, 68198-7690, USA.
Paul DeeganDepartment of Surgery, 987690 Nebraska Medical Center, University of Nebraska Medical Center, Omaha, NE, 68198-7690, USA.
Carol LomnethDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, USA.
Anjali SandipDepartment of Surgery, 987690 Nebraska Medical Center, University of Nebraska Medical Center, Omaha, NE, 68198-7690, USA.
Alexey KamenskiyDepartment of Surgery, 987690 Nebraska Medical Center, University of Nebraska Medical Center, Omaha, NE, 68198-7690, USA. Alexey.Kamenskiy@unmc.edu.

Funding

Optimized Stents for the Femoropopliteal ArteryR01HL125736 · NHLBI · UNIVERSITY OF NEBRASKA OMAHA · PI KAMENSKIY, ALEXEY, MACTAGGART, JASON · 2015 to 2024
$6.3M
Computational Tool to Assess Performance of the Aortic Trauma Stent-GraftsF32HL124905 · NHLBI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI DESYATOVA, ANASTASIA S · 2015 to 2017
$173k
NHLBI NIH HHS F32 HL124905NHLBI NIH HHS R01 HL125736
6 · The paper itself

Abstract

Open and endovascular treatments for peripheral arterial disease are notorious for high failure rates. Severe mechanical deformations experienced by the femoropopliteal artery (FPA) during limb flexion and interactions between the artery and repair materials play important roles and may contribute to poor clinical outcomes. Computational modeling can help optimize FPA repair, but these simulations heavily depend on the choice of constitutive model describing the arterial behavior. In this study finite element model of the FPA in the standing (straight) and gardening (acutely bent) postures was built using computed tomography data, longitudinal pre-stretch and biaxially determined mechanical properties. Springs and dashpots were used to represent surrounding tissue forces associated with limb flexion-induced deformations. These forces were then used with age-specific longitudinal pre-stretch and mechanical properties to obtain deformed FPA configurations for seven age groups. Four commonly used invariant-based constitutive models were compared to determine the accuracy of capturing deformations and stresses in each age group. The four-fiber FPA model most accurately portrayed arterial behavior in all ages, but in subjects younger than 40 years, the performance of all constitutive formulations was similar. In older subjects, Demiray (Delfino) and classic two-fiber Holzapfel-Gasser-Ogden formulations were better than the Neo-Hookean model for predicting deformations due to limb flexion, but both significantly overestimated principal stresses compared to the FPA or Neo-Hookean models.

Indexed as

Models, BiologicalStress, MechanicalAge FactorsArteriesComputer SimulationFemurHumansJointsTomography, X-Ray ComputedConstitutive modelFemoropopliteal arteryFinite element modelingLimb flexion

Identifiers

PMID27868162
PMCPMC5423836

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.