Interdependencies of aortic arch secondary flow patterns, geometry, and age analysed by 4-dimensional phase contrast magnetic resonance imaging at 3 Tesla

Frydrychowicz, Alex; Berger, Alexander; Río, Alejandro Muñoz del; Russe, Maximilian; Bock, Jelena; Harloff, Andreas; Markl, Michael

doi:10.1007/s00330-011-2353-6

Cited by 90 publications

(89 citation statements)

References 31 publications

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“…Other studies confirm our findings10, 11 and align with the idea that WSS should be reduced in the presence of an enlarged vessel (holding stroke volume constant: mean velocity and thus velocity gradients will be reduced, which, in turn, will reduce WSS) 32. The presence of vortex and supraphysiological helical flow has shown to be significantly increased in the setting of the dilated ascending aorta and an increase in ascending aortic diameter is significantly correlated with the presence of aberrant flow (elevated helix and vortex formation) 33. These observed blood flow patterns were associated with changes in regional peak systolic WSS in the AAo and proximal aortic arch.…”

Section: Discussionmentioning

confidence: 59%

Aortic Valve Stenosis Alters Expression of Regional Aortic Wall Shear Stress: New Insights From a 4‐Dimensional Flow Magnetic Resonance Imaging Study of 571 Subjects

Ooij

Markl

Collins

et al. 2017

JAHA

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BackgroundWall shear stress (WSS) is a stimulus for vessel wall remodeling. Differences in ascending aorta (AAo) hemodynamics have been reported between bicuspid aortic valve (BAV) and tricuspid aortic valve patients with aortic dilatation, but the confounding impact of aortic valve stenosis (AS) is unknown.Methods and ResultsFive hundred seventy‐one subjects underwent 4‐dimensional flow magnetic resonance imaging in the thoracic aorta (210 right‐left BAV cusp fusions, 60 right‐noncoronary BAV cusp fusions, 245 tricuspid aortic valve patients with aortic dilatation, and 56 healthy controls). There were 166 of 515 (32%) patients with AS. WSS atlases were created to quantify group‐specific WSS patterns in the AAo as a function of AS severity. In BAV patients without AS, the different cusp fusion phenotypes resulted in distinct differences in eccentric WSS elevation: right‐left BAV patients exhibited increased WSS by 9% to 34% (P<0.001) at the aortic root and along the entire outer curvature of the AAo whereas right‐noncoronary BAV patients showed 30% WSS increase (P<0.001) at the distal portion of the AAo. WSS in tricuspid aortic valve patients with aortic dilatation patients with no AS was significantly reduced by 21% to 33% (P<0.01) in 4 of 6 AAo regions. In all patient groups, mild, moderate, and severe AS resulted in a marked increase in regional WSS (P<0.001). Moderate‐to‐severe AS further increased WSS magnitude and variability in the AAo. Differences between valve phenotypes were no longer apparent.Conclusions AS significantly alters aortic hemodynamics and WSS independent of aortic valve phenotype and over‐rides previously described flow patterns associated with BAV and tricuspid aortic valve with aortic dilatation. Severity of AS must be considered when investigating valve‐mediated aortopathy.

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Section: Discussionmentioning

confidence: 59%

Aortic Valve Stenosis Alters Expression of Regional Aortic Wall Shear Stress: New Insights From a 4‐Dimensional Flow Magnetic Resonance Imaging Study of 571 Subjects

Ooij

Markl

Collins

et al. 2017

JAHA

Self Cite

125

100

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“…It can be shown that this minimization problem is equivalent to solving the matrix equation M r ¼ P; [7] where…”

Section: Estimation Of the Vorticity Vector Fieldmentioning

confidence: 99%

“…To evaluate the integrals in Equations [8] and [9], we used a four-point quadrature scheme (42), and considered the the fact that v ðxÞ was optimally approximated by v FEM ij ðxÞ at the Gauss points. To reduce the computational effort to solve Equation [7] without compromising its accuracy, the matrix M was replaced by a diagonal lumped matrix M~, where…”

Section: Estimation Of the Vorticity Vector Fieldmentioning

confidence: 99%

“…After Equation [7] is solved for all vorticity components, the vorticity vector x at any point in the domain of interest can be estimated.…”

Section: Estimation Of the Vorticity Vector Fieldmentioning

confidence: 99%

“…A few studies of vorticity and helicity-related parameters have shown that these parameters have a direct relationship with geometric changes of the vessels and the reappearance of different diseases (7,8). Studies based on 3D cine PC-MRI performed on phantom data have revealed that vortex and helical flow can induce vessel wall injury and vascular remodeling (7,(9)(10)(11). Additionally, other studies have demonstrated that standard surgical procedures induce local and global hemodynamic changes of the treated section, altering the secondary flow patterns, which could lead to the reappearance of the pathology and the need for re-intervention (12)(13)(14)(15)(16)(17)(18)(19).…”

Section: Introductionmentioning

confidence: 99%

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Three‐dimensional quantification of vorticity and helicity from 3D cine PC‐MRI using finite‐element interpolations

Sotelo

Urbina

Valverde

et al. 2017

Magnetic Resonance in Med

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Purpose: We propose a 3D finite-element method for the quantification of vorticity and helicity density from 3D cine phase-contrast (PC) MRI. Methods: By using a 3D finite-element method, we seamlessly estimate velocity gradients in 3D. The robustness and convergence were analyzed using a combined Poiseuille and Lamb-Ossen equation. A computational fluid dynamics simulation was used to compared our method with others available in the literature. Additionally, we computed 3D maps for different 3D cine PC-MRI data sets: phantom without and with coarctation (18 healthy volunteers and 3 patients).Results: We found a good agreement between our method and both the analytical solution of the combined Poiseuille and Lamb-Ossen. The computational fluid dynamics results showed that our method outperforms current approaches to estimate vorticity and helicity values. In the in silico model, we observed that for a tetrahedral element of 2 mm of characteristic length, we underestimated the vorticity in less than 5% with respect to the analytical solution. In patients, we found higher values of helicity density in comparison to healthy volunteers, associated with vortices in the lumen of the vessels. Conclusions: We proposed a novel method that provides entire 3D vorticity and helicity density maps, avoiding the used of reformatted 2D planes from 3D cine PC-MRI. Magn Reson Med 79:541-553,

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Computational prediction of hemodynamical and biomechanical alterations induced by aneurysm dilatation in patient‐specific ascending thoracic aortas

Jayendiran

Condemi

Campisi

et al. 2020

Numer Methods Biomed Eng

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The aim of the present work is to propose a robust computational framework combining computational fluid dynamics (CFD) and 4D flow MRI to predict the progressive changes in hemodynamics and wall rupture index (RPI) induced by aortic morphological evolutions in patients harboring ascending thoracic aortic aneurysms (ATAAs). An analytical equation has been proposed to predict the aneurysm progression based on age, sex, and body surface area. Parameters such as helicity, wall shear stress (WSS), time‐averaged WSS, oscillatory shear index, relative residence time, and viscosity were evaluated for two patients at different stages of aneurysm growth, and compared with age‐sex‐matched healthy subjects. The study shows that evolution of hemodynamics and RPI, despite being very slow in ATAAs, is strongly affected by morphological alterations and, in turn could impact biomechanical factors and aortic mechanobiology. An aspect of the current work is that the patient‐specific 4D MRI data sets were obtained with a follow‐up of 1 year and the measured time‐averaged velocity maps and flow eccentricity were compared with the CFD simulation for validation. The computational framework presented here is capable of capturing the blood flow patterns and the hemodynamic descriptors during the various stages of aneurysm growth. Further investigations will be conducted in order to verify these results on a larger cohort of patients and with long follow‐up times to finally elucidate the link between deranged hemodynamics, AA geometry, and wall mechanical properties in ATAAs.

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Interdependencies of aortic arch secondary flow patterns, geometry, and age analysed by 4-dimensional phase contrast magnetic resonance imaging at 3 Tesla

Cited by 90 publications

References 31 publications

Aortic Valve Stenosis Alters Expression of Regional Aortic Wall Shear Stress: New Insights From a 4‐Dimensional Flow Magnetic Resonance Imaging Study of 571 Subjects

Aortic Valve Stenosis Alters Expression of Regional Aortic Wall Shear Stress: New Insights From a 4‐Dimensional Flow Magnetic Resonance Imaging Study of 571 Subjects

Three‐dimensional quantification of vorticity and helicity from 3D cine PC‐MRI using finite‐element interpolations

Computational prediction of hemodynamical and biomechanical alterations induced by aneurysm dilatation in patient‐specific ascending thoracic aortas

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