Literature DB >> 2969808

Fluid mechanics of aortic stenosis.

A P Yoganathan1.   

Abstract

In vitro qualitative and quantitative flow-mapping studies were conducted in an adult size aortic flow chamber, using bioprosthetic valves (0.5-5.0 cm2) to mimic varying degrees of aortic stenosis. The studies were performed under physiologic conditions in a left heart stimulator using: flow visualization, laser Doppler anemometry (LDA), continuous-wave (CW) Doppler and colour Doppler flow mapping (CDFM) techniques. Pressure gradients in the range 15-150 mmHg were accurately predicted by CW Doppler using the Bernoulli equation (r = 0.99). The flow visualization and CDFM studies revealed that all degrees of aortic stenosis led to jet-type flow fields, in which jet orientation was not necessarily symmetric and was skewed to varying degrees. Therefore, in aortic stenosis, Doppler measurements should be conducted in multiple views in order to visualize the flow field properly. Measurements with cross-sectional LDA revealed that as aortic stenosis increased: jet size narrowed; the peak velocity and turbulent intensities of the jet increased; jet instability increased; and acceleration of the jet proximal to the valve increased. Peak velocities as high as 4-7 ms-1 with turbulence levels (i.e. root mean square axial velocities) of 1.0-2.3 m s-1 were measured, with the moderately and severely stenotic valves. These elevated levels of turbulence could cause damage to the formed elements of blood and the walls of the ascending aorta. The high velocities and turbulence levels created by the moderately and severely stenotic valves, made quantitative interpretation of CDFM recordings very difficult, if not impossible.

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Year:  1988        PMID: 2969808     DOI: 10.1093/eurheartj/9.suppl_e.13

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  7 in total

Review 1.  Heart valve function: a biomechanical perspective.

Authors:  Michael S Sacks; Ajit P Yoganathan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-08-29       Impact factor: 6.237

2.  Fluid-structure interaction modeling of calcific aortic valve disease using patient-specific three-dimensional calcification scans.

Authors:  Rotem Halevi; Ashraf Hamdan; Gil Marom; Karin Lavon; Sagit Ben-Zekry; Ehud Raanani; Danny Bluestein; Rami Haj-Ali
Journal:  Med Biol Eng Comput       Date:  2016-02-23       Impact factor: 2.602

Review 3.  Heart Valve Biomechanics and Underlying Mechanobiology.

Authors:  Salma Ayoub; Giovanni Ferrari; Robert C Gorman; Joseph H Gorman; Frederick J Schoen; Michael S Sacks
Journal:  Compr Physiol       Date:  2016-09-15       Impact factor: 9.090

4.  Designing a Novel Asymmetric Transcatheter Aortic Valve for Stenotic Bicuspid Aortic Valves Using Patient-Specific Computational Modeling.

Authors:  Ryan T Helbock; Salwa B Anam; Brandon J Kovarovic; Marvin J Slepian; Ashraf Hamdan; Rami Haj-Ali; Danny Bluestein
Journal:  Ann Biomed Eng       Date:  2022-08-30       Impact factor: 4.219

5.  Hemodynamics and mechanobiology of aortic valve inflammation and calcification.

Authors:  Kartik Balachandran; Philippe Sucosky; Ajit P Yoganathan
Journal:  Int J Inflam       Date:  2011-07-06

6.  Dynamics of Blood Flows in Aortic Stenosis: Mild, Moderate, and Severe.

Authors:  Choon-Sik Jhun; Raymond Newswanger; Joshua P Cysyk; Sailahari Ponnaluri; Bryan Good; Keefe B Manning; Gerson Rosenberg
Journal:  ASAIO J       Date:  2021-06-01       Impact factor: 3.826

7.  Inconsistency in aortic stenosis severity between CT and echocardiography: prevalence and insights into mechanistic differences using computational fluid dynamics.

Authors:  Tarun Kumar Mittal; Luise Reichmuth; Sanjeev Bhattacharyya; Manish Jain; Aigul Baltabaeva; Shelley Rahman Haley; Saeed Mirsadraee; Vasileios Panoulas; Tito Kabir; Edward David Nicol; Miles Dalby; Quan Long
Journal:  Open Heart       Date:  2019-07-29
  7 in total

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