2022
DOI: 10.1007/s11517-021-02480-1
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Numerical modeling of residual type B aortic dissection: longitudinal analysis of favorable and unfavorable evolution

Abstract: Residual type B aortic dissection was numerically investigated to highlight the contribution of biomechanical parameters to the pathology's evolution. Patient-specific geometries from cases involving both favorable and unfavorable evolution were modeled to assess their hemodynamic features. This original approach was supported by a longitudinal study confirming the association between morphological changes, hemodynamic features, adverse clinical outcomes, and CT-angioscan observations on the same patient. Comp… Show more

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Cited by 12 publications
(5 citation statements)
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“…The advantage of this strategy is that an iterative optimization process is not needed once the flow rate and pressure waveforms are available. A recent study did not use any Frontiers in Bioengineering and Biotechnology frontiersin.org patient-specific information to estimate the parameters (Fatma et al, 2022). Instead, a pressure waveform was obtained from the literature; a series of CFD simulations were performed to update the flow rate and pressure waveforms at the outlets, which were then used to optimize the Windkessel model parameters in Matlab.…”
Section: Discussionmentioning
confidence: 99%
“…The advantage of this strategy is that an iterative optimization process is not needed once the flow rate and pressure waveforms are available. A recent study did not use any Frontiers in Bioengineering and Biotechnology frontiersin.org patient-specific information to estimate the parameters (Fatma et al, 2022). Instead, a pressure waveform was obtained from the literature; a series of CFD simulations were performed to update the flow rate and pressure waveforms at the outlets, which were then used to optimize the Windkessel model parameters in Matlab.…”
Section: Discussionmentioning
confidence: 99%
“…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…”
Section: Blood Flow Modelingmentioning
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%
“…Hemodynamic factors are also important to predict the long term evolution of a RAD [ 27 , 28 ] and improve the understanding of this complex pathology. In a recent study [ 29 ], we developed a numerical patient-specific modeling of a RAD and we performed a hemodynamic analysis on two patients. Although these comparisons could only be conducted on two patients and need to be confirmed by a larger number of cases, our findings point to these hemodynamic markers as possible candidates for an early evaluation of the pathology’s evolution towards an unfavorable scenario.…”
Section: Commentmentioning
confidence: 99%