Spiral blood flow in aorta<b>–</b>renal bifurcation models

Javadzadegan, Ashkan; Simmons, Anne; Barber, Tracie

doi:10.1080/10255842.2015.1082552

Cited by 5 publications

(2 citation statements)

References 47 publications

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“…Similar to our study, they found an increase in flow rate at lower angles. Javadzadegan et al [36,37] evaluated the effects of blood flow spirality on the recirculation zone length. To obtain precise results, they needed a spiral velocity component with a parabolic flow boundary condition at the aorta inlet.…”

Section: Discussionmentioning

confidence: 99%

Optimal Renal Artery-Aorta Angulation Revealed by Flow Simulation

Csonka

Nagy

Stella

et al. 2023

Kidney Blood Press Res

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Introduction In blood circulation, the vessel branching angle may have hemodynamic consequences. We hypothesized that there is a hemodynamically optimal range for the renal artery branching angle. Methods Posttransplant kinetics of eGFR (estimated glomerular filtration rate) data were analyzed regarding the donor and implant sides (right-to-right, left-to-right position) (n=46). The renal artery branching angle from the aorta of a randomly selected population was measured using an X-ray angiogram (n=44). Computational fluid dynamics simulation was used to elucidate the hemodynamic effects of angulation. Results, and Discussion Renal transplant patients receiving a right donor kidney to the right side showed faster adaptation and higher eGFR values than those receiving a left donor kidney to the right side (eGFR: 65±7 vs 56±6 ml/min/1.73 m2; P <0.01). The average left side branching angle was 78°, and the right side was 66°. Simulation results showed that pressure, volume flow and velocity were relatively constant between 58° and 88°, indicating that this range is optimal for the kidneys. The turbulent kinetic energy shows no significant change between 58° and 78°. Conclusion The results suggest that there is an optimal range for renal artery branching angle from the aorta where hemodynamic vulnerability caused by the degree of angulation is the lowest, which should be considered during kidney transplantations.

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Section: Discussionmentioning

confidence: 99%

Optimal Renal Artery-Aorta Angulation Revealed by Flow Simulation

Csonka

Nagy

Stella

et al. 2023

Kidney Blood Press Res

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“…As an advancement of 2D phase contrast MRI techniques (1), four-dimensional phase contrast (4D Flow) flow mapping has emerged as a rich source for assessment of hemodynamics (2)(3)(4). Post-processing of 4D Flow MRI allows measuring several quantitative features that characterize the secondary flow patterns in the aorta and pulmonary artery (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18). Turbulence, helical flow patterns, eccentricity and other secondary flow patterns are associated with many cardiovascular diseases (5)(6)(7)(8)(9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

MRI-based comprehensive analysis of vascular anatomy and hemodynamics

Gabbert¹,

Kheradvar²,

Jerosch‐Herold³

et al. 2021

Cardiovasc Diagn Ther

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Background: Standardized methods for mapping the complex blood flow in vessels are essential for processing the large data volume acquired from 4D Flow MRI. We present a method for systematic and efficient analysis of anatomy and flow in large human blood vessels. To attain the best outcomes in cardiac surgery, vascular modifications that lead to secondary flow patterns such as vortices should be avoided. In this work, attention was paid to the undesired cancelation of vortices with opposite directions of rotation, known as Dean flow patterns, using hemodynamic parameters such as circulation and helicity density.Methods: Our approach is based on the multiplanar reconstruction (MPR) of a multi-dimensional feature-space along the blood vessel's centerline. Hemodynamic parameters and anatomic information were determined in-plane from the reconstructed feature-space and from the blood vessel's centerline. A modified calculation of circulation and helicity density and novel parameters for quantifying Dean flow were developed. To test the model performance, we applied our methods to three test cases.Results: Comprehensive information on position, magnitude and interrelation of vascular anatomy and hemodynamics were extracted from 4D Flow MRI datasets. The results show that the Dean flow patterns can be efficiently assessed using the novel parameters.Conclusions: Our approach to comprehensively and simultaneously quantify multiple parameters of vascular anatomy and hemodynamics from 4D Flow MRI provides new insights to map complex hemodynamic conditions.

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