Literature DB >> 29907330

Blood flow patterns and pressure loss in the ascending aorta: A comparative study on physiological and aneurysmal conditions.

Utku Gülan1, Christelle Calen2, Firat Duru3, Markus Holzner4.   

Abstract

An aortic aneurysm is defined as a balloon-shaped bulging of all three histologic components of the aortic vessel walls (intima, media and adventitia). This dilation results from vessel weakening owing to remodeling, i.e. due to cystic degeneration of the Tunica media (Marfan), progression of atherosclerosis or presence of a bicuspid aortic valve. The growth rate of the aortic diameter varies from patient to patient and may progress until the aneurysm ultimately ruptures. The role of hemodynamics, i.e. blood flow patterns, and shear stresses that are supposed to intensify during aneurysm growth are not yet fully understood, but thought to play a key role in the enlargement process. The aim of this study is to characterize the aortic blood flow in a silicone model of a pathological aorta with ascending aneurysm, to analyze the differences in the blood flow pattern compared to a healthy aortic model, and to single out possible blood flow characteristics measurable using phase contrast magnetic resonance imaging (MRI) that could serve as indicators for aneurysm severity. MRI simulations were performed under physiological, pulsatile flow conditions using data obtained from optical three dimensional particle tracking measurements. In comparison to the healthy geometry, elevated turbulence intensity and pressure loss are measured in the diseased aorta, which we propose as a complimentary indicator for assessing the aneurysmal severity. Our results shed a light on the interplay between the blood flow dynamics and their contribution to the pathophysiology and possible role for future risk assessment of ascending aortic aneurysms.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D-PTV; Aneurysm; Aorta; Energy loss; MRI simulations; Turbulent kinetic energy

Mesh:

Year:  2018        PMID: 29907330     DOI: 10.1016/j.jbiomech.2018.05.033

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  5 in total

1.  Patient-specific computational fluid dynamics analysis of transcatheter aortic root replacement with chimney coronary grafts.

Authors:  Michele Conti; Rodrigo M Romarowski; Anna Ferrarini; Matteo Stochino; Ferdinando Auricchio; Simone Morganti; Ludwig Karl von Segesser; Enrico Ferrari
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-04-08

2.  Identification of a Novel 15q21.1 Microdeletion in a Family with Marfan Syndrome.

Authors:  Rencong Yang; Wu Zhang; Hua Lu; Jinlong Liu; Yu Xia; Shengjie Liao; Xiaohui Li; Xiaoshen Zhang; Xiaoping Fan; Chaojie Wang
Journal:  Genet Res (Camb)       Date:  2022-04-05       Impact factor: 1.588

3.  Computational Fluid Dynamics to Assess the Future Risk of Ascending Aortic Aneurysms.

Authors:  Gabriela de C Almeida; Bruno Alvares de Azevedo Gomes; Fabiula Schwartz de Azevedo; Karim Kalaun; Ivan Ibanez; Pedro S Teixeira; Ilan Gottlieb; Marcelo M Melo; Glaucia Maria Moraes de Oliveira; Angela O Nieckele
Journal:  Arq Bras Cardiol       Date:  2022-02       Impact factor: 2.000

4.  Computational analysis of aortic haemodynamics in the presence of ascending aortic aneurysm.

Authors:  Aleksandra Petuchova; Algirdas Maknickas
Journal:  Technol Health Care       Date:  2022       Impact factor: 1.285

5.  Hemodynamic Changes in the Right Ventricle Induced by Variations of Cardiac Output: A Possible Mechanism for Arrhythmia Occurrence in the Outflow Tract.

Authors:  Utku Gülan; Ardan Muammer Saguner; Deniz Akdis; Alexander Gotschy; Felix C Tanner; Sebastian Kozerke; Robert Manka; Corinna Brunckhorst; Markus Holzner; Firat Duru
Journal:  Sci Rep       Date:  2019-01-14       Impact factor: 4.379

  5 in total

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