Literature DB >> 33225424

Numerical investigation of patient-specific thoracic aortic aneurysms and comparison with normal subject via computational fluid dynamics (CFD).

Mustafa Etli1, Gokhan Canbolat2, Oguz Karahan1, Murat Koru3.   

Abstract

Vascular hemodynamics play an important role in cardiovascular diseases. This work aimed to investigate the effects of an increase in ascending aortic diameter (AAD) on hemodynamics throughout a cardiac cycle for real patients. In this study, two scans of thoracic aortic aneurysm (TAA) subject with different AADs (42.94 mm and 48.01 mm) and a scan of a normal subject (19.81 mm) were analyzed to assess the effects of hemodynamics on the progression of TAA with the same flow rate. Real-patient aortic geometries were scanned by computed tomography angiography (CTA), and steady and pulsatile flow conditions were used to simulate real patient aortic geometries. Aortic arches were obtained from routine clinical scans. Computational fluid dynamics (CFD) simulations were performed with in vivo boundary conditions, and 3D Navier-Stokes equations were solved by a UDF (user-defined function) code defining a real cardiac cycle of one patient using Fourier series (FS). Wall shear stress (WSS) and pressure distributions were presented from normal subject to TAA cases. The results show that during the peak systolic phase pressure load increased by 18.56% from normal subject to TAA case 1 and by 23.8% from normal subject to TAA case 2 in the aneurysm region. It is concluded that although overall WSS increased in aneurysm cases but was low in dilatation areas. As a result, abnormal changes in WSS and higher pressure load may lead to rupture and risk of further dilatation. CFD simulations were highly effective to guide clinical predictions and assess the progress of aneurysm regions in case of early surgical intervention. Graphical abstract.

Entities:  

Keywords:  Cardiovascular flow; Computational fluid dynamics (CFD); Computed tomography angiography; Patient-specific simulation; Thoracic aortic aneurysm

Year:  2020        PMID: 33225424     DOI: 10.1007/s11517-020-02287-6

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  25 in total

1.  On the use of in vivo measured flow rates as boundary conditions for image-based hemodynamic models of the human aorta: implications for indicators of abnormal flow.

Authors:  D Gallo; G De Santis; F Negri; D Tresoldi; R Ponzini; D Massai; M A Deriu; P Segers; B Verhegghe; G Rizzo; U Morbiducci
Journal:  Ann Biomed Eng       Date:  2011-10-19       Impact factor: 3.934

2.  Abdominal aortic aneurysm wall mechanics and their relation to risk of rupture.

Authors:  B Sonesson; T Sandgren; T Länne
Journal:  Eur J Vasc Endovasc Surg       Date:  1999-12       Impact factor: 7.069

3.  Effects of severity and location of stenosis on the hemodynamics in human aorta and its branches.

Authors:  Mahsa Dabagh; Paritosh Vasava; Payman Jalali
Journal:  Med Biol Eng Comput       Date:  2015-03-01       Impact factor: 2.602

4.  3-D numerical simulation of blood flow through models of the human aorta.

Authors:  L Morris; P Delassus; A Callanan; M Walsh; F Wallis; P Grace; T McGloughlin
Journal:  J Biomech Eng       Date:  2005-10       Impact factor: 2.097

5.  Investigation of pulsatile flowfield in healthy thoracic aorta models.

Authors:  Chih-Yung Wen; An-Shik Yang; Li-Yu Tseng; Jyh-Wen Chai
Journal:  Ann Biomed Eng       Date:  2009-11-05       Impact factor: 3.934

6.  Procedures for estimating growth rates in thoracic aortic aneurysms.

Authors:  J A Rizzo; M A Coady; J A Elefteriades
Journal:  J Clin Epidemiol       Date:  1998-09       Impact factor: 6.437

7.  Computational hemodynamic analysis in congenital heart disease: simulation of the Norwood procedure.

Authors:  Y Qian; J L Liu; K Itatani; K Miyaji; M Umezu
Journal:  Ann Biomed Eng       Date:  2010-03-02       Impact factor: 3.934

8.  Estimation of inlet flow rates for image-based aneurysm CFD models: where and how to begin?

Authors:  Kristian Valen-Sendstad; Marina Piccinelli; Resmi KrishnankuttyRema; David A Steinman
Journal:  Ann Biomed Eng       Date:  2015-02-24       Impact factor: 3.934

9.  A novel approach for local abdominal aortic aneurysm growth quantification.

Authors:  Eleni Metaxa; Iordan Iordanov; Emmanuel Maravelakis; Yannis Papaharilaou
Journal:  Med Biol Eng Comput       Date:  2016-11-05       Impact factor: 2.602

10.  Numerical simulation of non-Newtonian blood flow dynamics in human thoracic aorta.

Authors:  A D Caballero; S Laín
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-02-24       Impact factor: 1.763

View more
  2 in total

1.  Investigation of the correlation between cardiac parameters and aortic diameter in patients with ascending aortic aneurysm.

Authors:  Mustafa Etli; Seda Avnioglu; Halil Yilmaz; Oguz Karahan
Journal:  Egypt Heart J       Date:  2022-01-07

2.  Non-invasive diagnostics of blockage growth in the descending aorta-computational approach.

Authors:  Mohammad Al-Rawi; Ahmed M Al-Jumaily; Djelloul Belkacemi
Journal:  Med Biol Eng Comput       Date:  2022-09-27       Impact factor: 3.079

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.