Literature DB >> 28623496

Association between flow skewness and aortic dilatation in patients with aortic stenosis.

Hojin Ha1, Hyun Jung Koo2, June Goo Lee3, Guk Bae Kim3, Jihoon Kweon4, Sang Joon Lee1,5, Joon Won Kang2, Tae Hwan Lim2, Dae Hee Kim4, Jong Min Song4, Duk Hyun Kang4, Jae Kwan Song4, Young Hak Kim4, Namkug Kim2,6, Dong Hyun Yang7.   

Abstract

We investigated association between hemodynamic characteristics and aortic dilatation in patients with severe aortic stenosis (AS). Eighty patients with severe AS (mean age, 67.2 ± 12.5 years) who underwent multi-detector computed tomography and phase-contrast magnetic resonance imaging at the ascending aorta were retrospectively analyzed. Patients with an ascending aorta diameter >4 cm had a significantly higher forward flow rate at systole (28.5 ± 6.0 vs. 36.2 ± 8.6 L min, P < 0.001), and retrograde flow rate at systole (11.3 ± 4.2 vs. 18.8 ± 5.8 L min, P < 0.001), fractional reverse ratio (a ratio of retrograde flow rate to forward flow rate; 34.1 ± 11.9% vs. 43.5 ± 18.0%, P = 0.014), flow skewness Rskewness (a ratio of sum of forward and retrograde systole flow to net systole flow rate; 2.4 ± 0.7 vs. 3.2 ± 1.0, P < 0.001). The presence of bicuspid aortic valve (BAV; odds ratio [OR] 72.01, 95% confidence interval [CI] 10.57-490.46, P < 0.001), Left ventricular mass index (LVMI; OR 1.02 /g/m2; CI 1.00-1.04, P = 0.043) and Rskewness (OR 5.6 per 1, 95% CI 1.8-17.1, P = 0.001) were associated with aortic dilatation. BAV, LVMI, and increased Rskewness in the ascending aorta are associated with aortic dilatation in patients with AS.

Entities:  

Keywords:  2D PC-MRI; Aortic dilatation; Aortic stenosis; Hemodynamics; Phase-contrast magnetic resonance imaging; Wall shear stress

Mesh:

Year:  2017        PMID: 28623496     DOI: 10.1007/s10554-017-1196-x

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  40 in total

1.  Assessment of the accuracy of MRI wall shear stress estimation using numerical simulations.

Authors:  Sven Petersson; Petter Dyverfeldt; Tino Ebbers
Journal:  J Magn Reson Imaging       Date:  2012-02-15       Impact factor: 4.813

2.  Familial thoracic aortic dilation and bicommissural aortic valve: a prospective analysis of natural history and inheritance.

Authors:  Melissa L Loscalzo; Denise L M Goh; Bart Loeys; Kathleen C Kent; Philip J Spevak; Harry C Dietz
Journal:  Am J Med Genet A       Date:  2007-09-01       Impact factor: 2.802

3.  Evaluation of Aortic Blood Flow and Wall Shear Stress in Aortic Stenosis and Its Association With Left Ventricular Remodeling.

Authors:  Florian von Knobelsdorff-Brenkenhoff; Achudhan Karunaharamoorthy; Ralf Felix Trauzeddel; Alex J Barker; Edyta Blaszczyk; Michael Markl; Jeanette Schulz-Menger
Journal:  Circ Cardiovasc Imaging       Date:  2016-03       Impact factor: 7.792

4.  Wall shear stress and flow patterns in the ascending aorta in patients with bicuspid aortic valves differ significantly from tricuspid aortic valves: a prospective study.

Authors:  Christian Meierhofer; Eike Philipp Schneider; Christine Lyko; Andrea Hutter; Stefan Martinoff; Michael Markl; Alfred Hager; John Hess; Heiko Stern; Sohrab Fratz
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2012-12-09       Impact factor: 6.875

5.  Comparison of four-dimensional flow parameters for quantification of flow eccentricity in the ascending aorta.

Authors:  Monica Sigovan; Michael D Hope; Petter Dyverfeldt; David Saloner
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

6.  MRI-based Protocol to Characterize the Relationship Between Bicuspid Aortic Valve Morphology and Hemodynamics.

Authors:  Lucia Mirabella; Alex J Barker; Neelakantan Saikrishnan; Elizabeth R Coco; Daniel J Mangiameli; Michael Markl; Ajit P Yoganathan
Journal:  Ann Biomed Eng       Date:  2014-12-23       Impact factor: 3.934

7.  Frequency of bicuspid aortic valve in young male conscripts by echocardiogram.

Authors:  Stefano Nistri; Cristina Basso; Chiara Marzari; Paolo Mormino; Gaetano Thiene
Journal:  Am J Cardiol       Date:  2005-09-01       Impact factor: 2.778

8.  Magnetic resonance measurement of turbulent kinetic energy for the estimation of irreversible pressure loss in aortic stenosis.

Authors:  Petter Dyverfeldt; Michael D Hope; Elaine E Tseng; David Saloner
Journal:  JACC Cardiovasc Imaging       Date:  2013-01

Review 9.  Functional assessment of thoracic aortic aneurysms - the future of risk prediction?

Authors:  Pouya Youssefi; Rajan Sharma; C Alberto Figueroa; Marjan Jahangiri
Journal:  Br Med Bull       Date:  2017-01-01       Impact factor: 4.291

10.  Guidelines and protocols for cardiovascular magnetic resonance in children and adults with congenital heart disease: SCMR expert consensus group on congenital heart disease.

Authors:  Sohrab Fratz; Taylor Chung; Gerald F Greil; Margaret M Samyn; Andrew M Taylor; Emanuela R Valsangiacomo Buechel; Shi-Joon Yoo; Andrew J Powell
Journal:  J Cardiovasc Magn Reson       Date:  2013-06-13       Impact factor: 5.364

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  1 in total

1.  Characterization of complex flow patterns in the ascending aorta in patients with aortic regurgitation using conventional phase-contrast velocity MRI.

Authors:  Odd Bech-Hanssen; Frida Svensson; Christian L Polte; Åse A Johnsson; Sinsia A Gao; Kerstin M Lagerstrand
Journal:  Int J Cardiovasc Imaging       Date:  2017-09-04       Impact factor: 2.357

  1 in total

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