Literature DB >> 25533768

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

Lucia Mirabella1, Alex J Barker, Neelakantan Saikrishnan, Elizabeth R Coco, Daniel J Mangiameli, Michael Markl, Ajit P Yoganathan.   

Abstract

Bicuspid aortic valve (BAV) is the most common congenital heart defect and can lead to severe complications. Many studies have been conducted to evaluate the potential of geometric and hemodynamic biomarkers to predict BAV-related aortopathy. This work proposes a novel semi-automatic protocol to characterize geometry and hemodynamics of aorta and aortic valve based on 2D cine and 4D flow MRI data. The protocol was applied to 12 BAV and 12 control subjects. Statistical differences between the groups were identified and linear regression models were investigated to elucidate the potential of this protocol to investigate the risk of disease progression. Statistical differences between the groups were found for orifice eccentricity, aorta diameter, velocity, jet angle and flow displacement. Key findings of the regression analysis include the association in the proximal ascending aorta between aorta diameter and mean velocity (negative), jet angle (positive) and flow displacement (positive), in the combined cohort. Positive association between flow displacement in the proximal aorta and orifice jet angle in TAV subjects was found. This study represents a pilot application of a protocol for standardized assessment of aortic geometry and hemodynamics associated with BAV disease. Its limited need for user input is advantageous for large cohort studies.

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Year:  2014        PMID: 25533768      PMCID: PMC4478278          DOI: 10.1007/s10439-014-1214-2

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  28 in total

1.  Restricted cusp motion in right-left type of bicuspid aortic valves: a new risk marker for aortopathy.

Authors:  Alessandro Della Corte; Ciro Bancone; Carlo A Conti; Emiliano Votta; Alberto Redaelli; Luca Del Viscovo; Maurizio Cotrufo
Journal:  J Thorac Cardiovasc Surg       Date:  2011-11-03       Impact factor: 5.209

2.  Parallel MRI with extended and averaged GRAPPA kernels (PEAK-GRAPPA): optimized spatiotemporal dynamic imaging.

Authors:  Bernd Jung; Peter Ullmann; Matthias Honal; Simon Bauer; Jürgen Hennig; Michael Markl
Journal:  J Magn Reson Imaging       Date:  2008-11       Impact factor: 4.813

3.  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

4.  Modified control grid interpolation for the volumetric reconstruction of fluid flows.

Authors:  David H Frakes; Kerem Pekkan; Lakshmi P Dasi; Hiroumi D Kitajima; Diane de Zelicourt; Hwa Liang Leo; Josie Carberry; Kartik Sundareswaran; Helene Simon; Ajit P Yoganathan
Journal:  Exp Fluids       Date:  2008-12       Impact factor: 2.480

5.  Systolic flow displacement correlates with future ascending aortic growth in patients with bicuspid aortic valves undergoing magnetic resonance surveillance.

Authors:  Nicholas S Burris; Monica Sigovan; Heather A Knauer; Elaine E Tseng; David Saloner; Michael D Hope
Journal:  Invest Radiol       Date:  2014-10       Impact factor: 6.016

Review 6.  Is aortopathy in bicuspid aortic valve disease a congenital defect or a result of abnormal hemodynamics? A critical reappraisal of a one-sided argument.

Authors:  Evaldas Girdauskas; Michael A Borger; Maria-Anna Secknus; Gracijus Girdauskas; Thomas Kuntze
Journal:  Eur J Cardiothorac Surg       Date:  2011-02-20       Impact factor: 4.191

7.  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

8.  Predictors of ascending aortic dilatation with bicuspid aortic valve: a wide spectrum of disease expression.

Authors:  Alessandro Della Corte; Ciro Bancone; Cesare Quarto; Giovanni Dialetto; Franco E Covino; Michelangelo Scardone; Giuseppe Caianiello; Maurizio Cotrufo
Journal:  Eur J Cardiothorac Surg       Date:  2007-01-22       Impact factor: 4.191

9.  Association of aortic dilation with regurgitant, stenotic and functionally normal bicuspid aortic valves.

Authors:  R T Hahn; M J Roman; A H Mogtader; R B Devereux
Journal:  J Am Coll Cardiol       Date:  1992-02       Impact factor: 24.094

10.  Pattern of ascending aortic dimensions predicts the growth rate of the aorta in patients with bicuspid aortic valve.

Authors:  Alessandro Della Corte; Ciro Bancone; Marianna Buonocore; Giovanni Dialetto; Franco E Covino; Sabrina Manduca; Giancarlo Scognamiglio; Veronica D'Oria; Marisa De Feo
Journal:  JACC Cardiovasc Imaging       Date:  2013-10-23
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  2 in total

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

Authors:  Hojin Ha; Hyun Jung Koo; June Goo Lee; Guk Bae Kim; Jihoon Kweon; Sang Joon Lee; Joon Won Kang; Tae Hwan Lim; Dae Hee Kim; Jong Min Song; Duk Hyun Kang; Jae Kwan Song; Young Hak Kim; Namkug Kim; Dong Hyun Yang
Journal:  Int J Cardiovasc Imaging       Date:  2017-06-16       Impact factor: 2.357

2.  Morphotype-Dependent Flow Characteristics in Bicuspid Aortic Valve Ascending Aortas: A Benchtop Particle Image Velocimetry Study.

Authors:  Andrew McNally; Ashish Madan; Philippe Sucosky
Journal:  Front Physiol       Date:  2017-02-01       Impact factor: 4.566

  2 in total

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