Background And Objective: In this work, the analysis of the importance of hemodynamic updates on a mechanobiological model of atheroma plaque formation is proposed.
Methods: For that, we use an idealized and axisymmetric model of carotid artery. In addition, the behavior of endothelial cells depending on hemodynamical changes is analyzed too. A total of three computational simulations are carried out and their results are compared: an uncoupled model and two models that consider the opposite behavior of endothelial cells caused by hemodynamic changes. The model considers transient blood flow using the Navier-Stokes equation. Plasma flow across the endothelium is determined with Darcy's law and the Kedem-Katchalsky equations, considering the three-pore model, which is also employed for the flow of substances across the endothelium. The behavior of the considered substances in the arterial wall is modeled with convection-diffusion-reaction equations, and the arterial wall is modeled as a hyperelastic Yeoh's material.
Results: Significant variations are noted in both the morphology and stenosis ratio of the plaques when comparing the uncoupled model to the two models incorporating updates for geometry and hemodynamic stimuli. Besides, the phenomenon of double-stenosis is naturally reproduced in the models that consider both geometric and hemodynamical changes due to plaque growth, whereas it cannot be predicted in the uncoupled model.
Conclusions: The findings indicate that integrating the plaque growth model with geometric and hemodynamic settings is essential in determining the ultimate shape and dimensions of the carotid plaque.
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http://dx.doi.org/10.1016/j.cmpb.2024.108296 | DOI Listing |
Eur Heart J Cardiovasc Imaging
January 2025
Department of Radiology, UZ Leuven, Leuven, Belgium.
Aims: Atrial septal defect (ASD) and partial abnormal pulmonary venous connection (PAPVC) are noncyanotic congenital heart defects (CHD) that produce a left-to-right shunt. This single-center retrospective study aimed to assess the hemodynamic impact of isolated ASD, isolated PAPVC, and ASD-associated PAPVC using cardiovascular magnetic resonance (CMR).
Methods And Results: From our CMR registry (2002-2024), 110 patients were included: isolated ASD (n=64), isolated PAPVC (n=18), ASD-associated PAPVC (n=28, mostly sinus venosus septal defects).
Coronary anatomy governs local haemodynamics associated with atherosclerotic development, progression and ultimately adverse clinical outcomes. However, lack of large sample size studies and methods to link adverse haemodynamics to anatomical information has hindered meaningful insights to date. The Left Main coronary bifurcations of 127 patients with suspected coronary artery disease in the absence of significant stenosis were segmented from CTCA images before computing the local haemodynamics.
View Article and Find Full Text PDFSci Rep
December 2024
School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, No. 516 Jungong Road, Yangpu District, Shanghai, 200093, China.
Comput Biol Med
December 2024
Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, 600036, Tamil Nadu, India. Electronic address:
Background And Objective: Cerebral aneurysms occur as balloon-like outpouchings in an artery, which commonly develop at the weak curved regions and bifurcations. When aneurysms are detected, understanding the risk of rupture is of immense clinical value for better patient management. Towards this, Fluid-Structure Interaction (FSI) studies can improve our understanding of the mechanics behind aneurysm initiation, progression, and rupture.
View Article and Find Full Text PDFFluids Barriers CNS
December 2024
School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, 47907, IN, USA.
The importance of optimizing intrathecal drug delivery is highlighted by its potential to improve patient health outcomes. Findings from previous computational studies, based on an individual or a small group, may not be applicable to the wider population due to substantial geometric variability. Our study aims to circumvent this problem by evaluating an individual's cycle-averaged Lagrangian velocity field based on the geometry of their spinal subarachnoid space.
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