Experimental evidence of the compressibility of arteries

Yosibash, Zohar; Manor, Itay; Gilad, Ilan; Willentz, Udi

doi:10.1016/j.jmbbm.2014.07.030

Cited by 33 publications

(12 citation statements)

References 18 publications

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“…Although studies in non-human patients mimic the situation in human arteries, there are multiple concerns over the applicability of these studies in humans in vivo. In contrast to PVA phantoms, real vessels are more heterogeneous with multiple layers with different elasticity (Shcherbakova et al 2015), are anisotropic (Chai et al 2013;Shcherbakova et al 2015), often contain calcifications causing shadowing, are viscoelastic and have been considered compressible and incompressible in conflicting studies (Yosibash et al 2014). Furthermore, most studies were performed in water, while in vivo carotid arteries are surrounded by other attenuating tissues such as muscles, fat, veins and nerves.…”

Section: Limitationsmentioning

confidence: 99%

Vascular Shear Wave Elastography in Atherosclerotic Arteries: A Systematic Review

Pruijssen

Korte

Voss

et al. 2020

Ultrasound in Medicine & Biology

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Ischemic stroke is a leading cause of death and disability worldwide, so adequate prevention strategies are crucial. However, current stroke risk stratification is based on epidemiologic studies and is still suboptimal for individual patients. The aim of this systematic review was to provide a literature overview on the feasibility and diagnostic value of vascular shear wave elastography (SWE) using ultrasound (US) in (mimicked) human and non-human arteries affected by different stages of atherosclerotic diseases or diseases related to atherosclerosis. An online search was conducted on Pubmed, Embase, Web of Science and IEEE databases to identify studies using US SWE for the assessment of vascular elasticity. A quality assessment was performed using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) checklist, and relevant data were extracted. A total of 19 studies were included: 10 with human patients and 9 with non-human subjects (i.e., [excised] animal arteries and polyvinyl alcohol phantoms). All studies revealed the feasibility of using US SWE to assess individually stiffness of the arterial wall and plaques. Quantitative elasticity values were highly variable between studies. However, within studies, SWE could detect statistically significant elasticity differences in patient/subject characteristics and could distinguish different plaque types with good reproducibility. US SWE, with its unique ability to assess the elasticity of the vessel wall and plaque throughout the cardiac cycle, might be a good candidate to improve stroke risk stratification. However, more clinical studies have to be performed to assess this technique's exact clinical value.

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Section: Limitationsmentioning

confidence: 99%

Vascular Shear Wave Elastography in Atherosclerotic Arteries: A Systematic Review

Pruijssen

Korte

Voss

et al. 2020

Ultrasound in Medicine & Biology

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show abstract

“…In any artery layer, two families of fibers exist, that are in symmetrical configuration with circumferential direction. Based on experimental evidence it was widely accepted that the artery wall is incompressible [22]; however, newer findings challenge this assumption [23,24]. Most of the constitutive models of the artery wall were developed in regards with the incompressible assumption, and only the newest constitutive models and numerical schemes tried to incorporate compressibility and inextensibility [25].…”

Section: Constitutive Fiber-reinforced Materials Model For Artery Wallmentioning

confidence: 99%

Numerical evaluation of systematic errors of a non-invasive intracranial pressure measurement

Misiulis¹,

Skarbalius²,

Džiugys³

2018

energetika

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Intracranial pressure (ICP) monitoring procedure can be applied to aid in secondary brain damage prevention. A high invasiveness of commonly used ICP measuring methods poses a risk of complications, and therefore new non-invasive methods are currently being developed. A promising non-invasive ICP measurement method is based on the existence of pressure balance state, which is driven by the unique morphological property of ophthalmic artery (OA). The value of ICP can be obtained by evaluating blood flow or artery characteristics in different OA segments, intracranial OA segment (IOA) and extracranial OA segment (EOA). In order to increase measurement accuracy, the systematic errors must be evaluated, which requires an implementation of a numerical model encompassing various physical phenomena. In this paper, a developed numerical model is presented, which was used to solve a transient fluid–structure interaction (FSI) problem of the pulsatile blood flow in a straight, physically meaningful anisotropic, hyperelastic OA, with ICP and external pressure (Pe) loads. It was found that the systematic error based on mean cross-sectional area difference between IOA and EOA segments was {–1.48, –1.37, –1.17} mmHg with ICP = {10, 20, 30} mmHg, respectively. The systematic error based on mean blood flow velocity difference between IOA and EOA segments was {–1.84, –1.76, –1.625} mmHg with ICP = {10, 20, 30} mmHg, respectively. The presented numerical model examined the worst-case scenario in terms of boundary conditions, which were immovable, while lengths of OA segments were physiologically relevant statistical means; however, the obtained systematic errors still met the clinical standards of ANSI/AAMI, where it is stated that the error should not exceed the ± 2 mmHg in the range of 0–20 mmHg of ICP. Boundary conditions and compliance affects the systematic error in both ways (reduce or increase it); this may explain the low systematic errors obtained in experimental studies by other authors.

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“…Arteries are assumed to be incompressible, because of the high water content [29]. In a recent study, the degree of compressibility of different arteries has been shown to be small, especially for elastic arteries [30]. The SEF for such materials depends only on the deformation gradient F .…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Biaxial Mechanical Properties of Aortic Media Based on the Lamellar Microstructure

et al. 2015

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Evaluation of the mechanical properties of arterial wall components is necessary for establishing a precise mechanical model applicable in various physiological and pathological conditions, such as remodeling. In this contribution, a new approach for the evaluation of the mechanical properties of aortic media accounting for the lamellar structure is proposed. We assumed aortic media to be composed of two sets of concentric layers, namely sheets of elastin (Layer I) and interstitial layers composed of mostly collagen bundles, fine elastic fibers and smooth muscle cells (Layer II). Biaxial mechanical tests were carried out on human thoracic aortic samples, and histological staining was performed to distinguish wall lamellae for determining the dimensions of the layers. A neo-Hookean strain energy function (SEF) for Layer I and a four-parameter exponential SEF for Layer II were allocated. Nonlinear regression was used to find the material parameters of the proposed microstructural model based on experimental data. The non-linear behavior of media layers confirmed the higher contribution of elastic tissue in lower strains and the gradual engagement of collagen fibers. The resulting model determines the nonlinear anisotropic behavior of aortic media through the lamellar microstructure and can be assistive in the study of wall remodeling due to alterations in lamellar structure during pathological conditions and aging.

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Experimental evidence of the compressibility of arteries

Cited by 33 publications

References 18 publications

Vascular Shear Wave Elastography in Atherosclerotic Arteries: A Systematic Review

Vascular Shear Wave Elastography in Atherosclerotic Arteries: A Systematic Review

Numerical evaluation of systematic errors of a non-invasive intracranial pressure measurement

Evaluation of Biaxial Mechanical Properties of Aortic Media Based on the Lamellar Microstructure

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