Literature DB >> 34920129

Evaluation of aortic stenosis: From Bernoulli and Doppler to Navier-Stokes.

Harminder Gill1, Joao Fernandes2, Omar Chehab3, Bernard Prendergast3, Simon Redwood3, Amedeo Chiribiri2, David Nordsletten4, Ronak Rajani5, Pablo Lamata2.   

Abstract

Uni-dimensional Doppler echocardiography data provide the mainstay of quantative assessment of aortic stenosis, with the transvalvular pressure drop a key indicator of haemodynamic burden. Sophisticated methods of obtaining velocity data, combined with improved computational analysis, are facilitating increasingly robust and reproducible measurement. Imaging modalities which permit acquisition of three-dimensional blood velocity vector fields enable angle-independent valve interrogation and calculation of enhanced measures of the transvalvular pressure drop. This manuscript clarifies the fundamental principles of physics that underpin the evaluation of aortic stenosis and explores modern techniques that may provide more accurate means to grade aortic stenosis and inform appropriate management.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  4D flow MRI; Aortic stenosis; Pressure drop; Velocity vector ultrasound

Year:  2021        PMID: 34920129     DOI: 10.1016/j.tcm.2021.12.003

Source DB:  PubMed          Journal:  Trends Cardiovasc Med        ISSN: 1050-1738            Impact factor:   6.677


  2 in total

1.  Machine learning evaluation of LV outflow obstruction in hypertrophic cardiomyopathy using three-chamber cardiovascular magnetic resonance.

Authors:  Manisha Sahota; Sepas Ryan Saraskani; Hao Xu; Liandong Li; Abdul Wahab Majeed; Uxio Hermida; Stefan Neubauer; Milind Desai; William Weintraub; Patrice Desvigne-Nickens; Jeanette Schulz-Menger; Raymond Y Kwong; Christopher M Kramer; Alistair A Young; Pablo Lamata
Journal:  Int J Cardiovasc Imaging       Date:  2022-10-06       Impact factor: 2.316

2.  Blood speckle imaging compared with conventional Doppler ultrasound for transvalvular pressure drop estimation in an aortic flow phantom.

Authors:  Cameron Dockerill; Harminder Gill; Joao Filipe Fernandes; Amanda Q X Nio; Ronak Rajani; Pablo Lamata
Journal:  Cardiovasc Ultrasound       Date:  2022-07-16       Impact factor: 2.263

  2 in total

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