2023
DOI: 10.1002/cnm.3736
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Fluid–structure interaction study for biomechanics and risk factors in Stanford type A aortic dissection

Abstract: Aortic dissection is a life-threatening condition with a rising prevalence in the elderly population, possibly as a consequence of the increasing population life expectancy. Untreated aortic dissection can lead to myocardial infarction, aortic branch malperfusion or occlusion, rupture, aneurysm formation and death. This study aims to assess the potential of a biomechanical model in predicting the risks of a non-dilated thoracic aorta with Stanford type A dissection. To achieve this, a fully coupled fluid-struc… Show more

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Cited by 7 publications
(4 citation statements)
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“…To fully exploit the model complexity when postprocessing the stresses, the anisotropic material properties were taken into account in tissue stress measures. Related works are based on the von Mises stress 20,21 or the maximum principal stress, 34,80 but none of these works relate the Cauchy stress directly to the microstructure orientation of the vessel. In this work, we investigated the spatio‐temporal distribution of the latter stress measure, but also included the normal and tangential traction components of the tissue.…”
Section: Discussionmentioning
confidence: 99%
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“…To fully exploit the model complexity when postprocessing the stresses, the anisotropic material properties were taken into account in tissue stress measures. Related works are based on the von Mises stress 20,21 or the maximum principal stress, 34,80 but none of these works relate the Cauchy stress directly to the microstructure orientation of the vessel. In this work, we investigated the spatio‐temporal distribution of the latter stress measure, but also included the normal and tangential traction components of the tissue.…”
Section: Discussionmentioning
confidence: 99%
“…The generalized Newtonian fluid models employed in this work are characterized by a variable viscosity μf=μffalse(trueγ˙false)$$ {\mu}_f={\mu}_f\left(\dot{\gamma}\right) $$, which is a function of the shear rate trueγ˙$$ \dot{\gamma} $$, that is, trueγ˙:=1false/2sbold-italicu:sbold-italicu0.0em,2emwith2emsbold-italicu:=1false/2()bold-italicu+bold-italicunormalT,$$ \dot{\gamma}:= 1/2\sqrt{\nabla^s\boldsymbol{u}:{\nabla}^s\boldsymbol{u}},\kern2em \mathrm{with}\kern2em {\nabla}^s\boldsymbol{u}:= 1/2\left(\nabla \boldsymbol{u}+\nabla {\boldsymbol{u}}^{\mathrm{T}}\right), $$ such that the Cauchy stress tensor can be expressed as bold-italicσf:=prefix−pbold-italicI+2μfsbold-italicu.$$ {\boldsymbol{\sigma}}_f:= -p\boldsymbol{I}+2{\mu}_f{\nabla}^s\boldsymbol{u}. $$ In the context of vascular flow, prominent choices are the Quemada, 21 Carreau‐Yasuda, 13,16,18,42 or the Carreau 31 model, capturing the shear‐thinning behavior of blood. The latter rheological law can be expressed as μf(trueγ˙):=η+()η0prefix−η[]1+(λtrueγ˙)2…”
Section: Biomechanical Modelingmentioning
confidence: 99%
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“…The predictive capabilities of a biomechanical model in evaluating the risks associated with a non-dilated thoracic aorta affected by Stanford type A dissection, a life-threatening condition, are assessed in [52]. A comprehensive FSI model was developed, considering realistic blood flow conditions, three-dimensional artery geometry, multiple artery layers, and in vivo-based physiological factors.…”
Section: Blood Flow Within Vascular Pathwaysmentioning
confidence: 99%