Literature DB >> 23292793

Left atrial flow velocity distribution and flow coherence using four-dimensional FLOW MRI: a pilot study investigating the impact of age and Pre- and Postintervention atrial fibrillation on atrial hemodynamics.

Jacob U Fluckiger1, Jeffrey J Goldberger, Daniel C Lee, Jason Ng, Richard Lee, Amita Goyal, Michael Markl.   

Abstract

PURPOSE: To use four-dimensional (4D) flow MRI to characterize and quantify 3D blood flow in the left atria (LA) of patients with a history of atrial fibrillation (AF).
MATERIALS AND METHODS: The 4D flow MRI was acquired in 19 volunteers (n = 9<30 years, n = 10>50 years) and 10 patients with AF (62 ± 9.6 years; n = 4 in persistent AF, n = 6 postintervention). The LA in each dataset was segmented, and intra-atrial blood flow velocity was quantified. Flow coherence was measured as the consistency of the net blood flow vector.
RESULTS: Quantification of atrial flow revealed significant differences in atrial hemodynamics between age groups. Postintervention AF patients had a mean blood flow of 0.22 ± 0.04 m/s, which was not significantly different than age-matched volunteers (0.21 ± 0.03 m/s). Patients with persistent AF had a mean blood flow of 0.13 ± 0.01 m/s, lower than AF patients in sinus rhythm (0.22 ± 0.04 m/s, P = 0.005), or age-matched volunteers (0.21 ± 0.03 m/s, P < 0.001). Flow coherence was significantly impaired in patients in AF.
CONCLUSION: Flow-sensitive MRI shows that patients with a history of AF had global hemodynamics in the LA similar to those of age-matched volunteers. Additional studies with larger cohorts of AF patients and correlation with outcome are needed to further investigate the potential of atrial 4D flow MRI to flow patterns indicative of stroke risk in AF.
Copyright © 2013 Wiley Periodicals, Inc., a Wiley company.

Entities:  

Keywords:  4D flow MRI; atrial fibrillation; cardiac magnetic resonance; flow imaging; flow quantification

Mesh:

Substances:

Year:  2013        PMID: 23292793     DOI: 10.1002/jmri.23994

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  25 in total

1.  Comparison of 4D flow and 2D velocity-encoded phase contrast MRI sequences for the evaluation of aortic hemodynamics.

Authors:  Emilie Bollache; Pim van Ooij; Alex Powell; James Carr; Michael Markl; Alex J Barker
Journal:  Int J Cardiovasc Imaging       Date:  2016-07-19       Impact factor: 2.357

2.  Velocity quantification by electrocardiography-gated phase contrast magnetic resonance imaging in patients with cardiac arrhythmia: a simulation study based on real time transesophageal echocardiography data in atrial fibrillation.

Authors:  Michael Markl; Jacob Fluckiger; Daniel C Lee; Jason Ng; Jeffrey J Goldberger
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

3.  Left Atrial 4-Dimensional Flow Magnetic Resonance Imaging: Stasis and Velocity Mapping in Patients With Atrial Fibrillation.

Authors:  Michael Markl; Daniel C Lee; Jason Ng; Maria Carr; James Carr; Jeffrey J Goldberger
Journal:  Invest Radiol       Date:  2016-03       Impact factor: 6.016

Review 4.  4D flow imaging: current status to future clinical applications.

Authors:  Michael Markl; Susanne Schnell; Alex J Barker
Journal:  Curr Cardiol Rep       Date:  2014-05       Impact factor: 2.931

5.  Assessment of altered three-dimensional blood characteristics in aortic disease by velocity distribution analysis.

Authors:  Julio Garcia; Alex J Barker; Pim van Ooij; Susanne Schnell; Jyothy Puthumana; Robert O Bonow; Jeremy D Collins; James C Carr; Michael Markl
Journal:  Magn Reson Med       Date:  2014-09-23       Impact factor: 4.668

6.  Distribution of blood flow velocity in the normal aorta: Effect of age and gender.

Authors:  Julio Garcia; Roel L F van der Palen; Emilie Bollache; Kelly Jarvis; Michael J Rose; Alex J Barker; Jeremy D Collins; James C Carr; Joshua Robinson; Cynthia K Rigsby; Michael Markl
Journal:  J Magn Reson Imaging       Date:  2017-05-26       Impact factor: 4.813

7.  Three-dimensional left atrial blood flow characteristics in patients with atrial fibrillation assessed by 4D flow CMR.

Authors:  Daniel C Lee; Michael Markl; Jason Ng; Maria Carr; Brandon Benefield; James C Carr; Jeffrey J Goldberger
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-11-20       Impact factor: 6.875

Review 8.  Evaluating the Atrial Myopathy Underlying Atrial Fibrillation: Identifying the Arrhythmogenic and Thrombogenic Substrate.

Authors:  Jeffrey J Goldberger; Rishi Arora; David Green; Philip Greenland; Daniel C Lee; Donald M Lloyd-Jones; Michael Markl; Jason Ng; Sanjiv J Shah
Journal:  Circulation       Date:  2015-07-28       Impact factor: 29.690

9.  Left Atrial and Left Atrial Appendage 4D Blood Flow Dynamics in Atrial Fibrillation.

Authors:  Michael Markl; Daniel C Lee; Nicholas Furiasse; Maria Carr; Charles Foucar; Jason Ng; James Carr; Jeffrey J Goldberger
Journal:  Circ Cardiovasc Imaging       Date:  2016-09       Impact factor: 7.792

Review 10.  Advanced flow MRI: emerging techniques and applications.

Authors:  M Markl; S Schnell; C Wu; E Bollache; K Jarvis; A J Barker; J D Robinson; C K Rigsby
Journal:  Clin Radiol       Date:  2016-03-02       Impact factor: 2.350

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