Literature DB >> 30635978

Analysis of cavopulmonary and cardiac flow characteristics in fontan Patients: Comparison with healthy volunteers.

David R Rutkowski1,2, Gregory Barton2,3, Christopher J François2, Heather L Bartlett4, Petros V Anagnostopoulos5, Alejandro Roldán-Alzate1,2,6.   

Abstract

BACKGROUND: Characterizing the flow of the Fontan circuit, and correlating flow characteristics with the development of complications, is an important clinical challenge. Past work has analyzed the flow characteristics of Fontan circulation on a component-by-component basis. 4D flow MRI with radial projections allows for large volumetric coverage, and therefore can be used to analyze the flow through many codependent cardiovascular components in a single imaging session.
PURPOSE: To describe flow characteristics across the entire Fontan circuit and to compare these with the flow characteristics in healthy volunteers. STUDY TYPE: Prospective.
SUBJECTS: Eleven single ventricle patients with a Fontan connection and 15 healthy controls. SEQUENCE: Phase contrast with vastly undersampled isotropic projection reconstruction (PC-VIPR) at a field strength of 3 T. ASSESSMENT: Cavopulmonary and ventricular flow distributions, blood flow kinetic energy, vorticities, efficiency indices, and other flow parameters were analyzed using Ensight and MatLab. STATISTICAL TESTS: The results were compared across Fontan subjects, between respiratory phases, and between Fontan subjects and healthy volunteers using a Student's t-test for unequal sample sizes and linear regression.
RESULTS: Cava-specific pulmonary flow distributions of Fontan patients varied significantly between respiratory phases (P < 0.05). Ventricular kinetic energy (KE) was significantly higher in Fontan patients than it was in healthy controls, leading to a lower cardiac efficiency metric in the Fontan group. A significant diastolic KE time-shift was also observed in the Fontan patient group. Peak diastolic KE was significantly higher in the single ventricle of patients with right ventricle morphology than it was in left ventricle morphology patients. DATA
CONCLUSION: Radial 4D flow MRI can be used for comprehensive analysis of single ventricle Fontan flow characteristics. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Year:  2019        PMID: 30635978     DOI: 10.1002/jmri.26583

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


  12 in total

1.  Modeling Physiological Flow Variation in Fontan Models with 4d Flow Mri, Particle Image Velocimetry, and Arterial Spin Labeling.

Authors:  David Rutkowski; Rafael Medero; Timothy Ruesink; Alejandro Roldan-Alzate
Journal:  J Biomech Eng       Date:  2019-10-01       Impact factor: 2.097

2.  Respiration Dependency of Caval Blood Flow in Patients with Fontan Circulation: Quantification Using 5D Flow MRI.

Authors:  Rene Bastkowski; Robert Bindermann; Konrad Brockmeier; Kilian Weiss; David Maintz; Daniel Giese
Journal:  Radiol Cardiothorac Imaging       Date:  2019-10-31

Review 3.  Performance of Cardiac MRI in Pediatric and Adult Patients with Fontan Circulation.

Authors:  Filippo Puricelli; Inga Voges; Peter Gatehouse; Michael Rigby; Cemil Izgi; Dudley J Pennell; Sylvia Krupickova
Journal:  Radiol Cardiothorac Imaging       Date:  2022-06-02

4.  Fully automated intracardiac 4D flow MRI post-processing using deep learning for biventricular segmentation.

Authors:  Philip A Corrado; Andrew L Wentland; Jitka Starekova; Archana Dhyani; Kara N Goss; Oliver Wieben
Journal:  Eur Radiol       Date:  2022-02-17       Impact factor: 7.034

5.  5D Flow MRI: A Fully Self-gated, Free-running Framework for Cardiac and Respiratory Motion-resolved 3D Hemodynamics.

Authors:  Liliana E Ma; Jérôme Yerly; Davide Piccini; Lorenzo Di Sopra; Christopher W Roy; James C Carr; Cynthia K Rigsby; Daniel Kim; Matthias Stuber; Michael Markl
Journal:  Radiol Cardiothorac Imaging       Date:  2020-11-12

6.  Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data.

Authors:  David R Rutkowski; Alejandro Roldán-Alzate; Kevin M Johnson
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

7.  Sex Differences in Cardiac Flow Dynamics of Healthy Volunteers.

Authors:  David R Rutkowski; Gregory P Barton; Christopher J François; Niti Aggarwal; Alejandro Roldán-Alzate
Journal:  Radiol Cardiothorac Imaging       Date:  2020-02-27

8.  Pilot tone navigation for respiratory and cardiac motion-resolved free-running 5D flow MRI.

Authors:  Mariana B L Falcão; Lorenzo Di Sopra; Liliana Ma; Mario Bacher; Jérôme Yerly; Peter Speier; Tobias Rutz; Milan Prša; Michael Markl; Matthias Stuber; Christopher W Roy
Journal:  Magn Reson Med       Date:  2021-10-05       Impact factor: 3.737

9.  Altered Right Ventricular Filling at Four-dimensional Flow MRI in Young Adults Born Prematurely.

Authors:  Philip A Corrado; Gregory P Barton; Jacob A Macdonald; Christopher J François; Marlowe W Eldridge; Kara N Goss; Oliver Wieben
Journal:  Radiol Cardiothorac Imaging       Date:  2021-06-03

10.  Stent interventions for pulmonary artery stenosis improve bi-ventricular flow efficiency in a swine model.

Authors:  Ryan J Pewowaruk; Gregory P Barton; Cody Johnson; J Carter Ralphe; Christopher J Francois; Luke Lamers; Alejandro Roldán-Alzate
Journal:  J Cardiovasc Magn Reson       Date:  2021-02-25       Impact factor: 5.364

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