Literature DB >> 32715299

4D Flow Vorticity Visualization Predicts Regions of Quantitative Flow Inconsistency for Optimal Blood Flow Measurement.

Francisco J Contijoch1, Michael Horowitz1, Evan Masutani1, Seth Kligerman1, Albert Hsiao1.   

Abstract

PURPOSE: To evaluate whether automated vorticity mapping four-dimensional (4D) flow MRI can identify regions of quantitative flow inconsistency.
MATERIALS AND METHODS: In this retrospective study, 35 consecutive patients who underwent MR angiography with 4D flow MRI at 3.0 T from December 2017 to October 2018 were analyzed using a λ 2-based technique for vorticity visualization and quantification. The patients were aged 58.6 years ± 14.4 (standard deviation), 12 were women, 18 had ascending aortic aneurysms (maximal diameter > 4.0 cm), and 10 had bicuspid aortic valves. Flow measurements were made in the ascending aorta (aAo), mid-descending aorta, main pulmonary artery, and superior vena cava. Statistical tests included t tests and F tests with a type I error threshold (α) of .05.
RESULTS: The 35 patients were visually classified as having no (n = 9), mild (n = 8), moderate (n = 11), or severe vorticity (n = 7). Across all patients, standard deviation of cardiac output in the aAo (0.58 L/min ± 0.45) was significantly (P < .001) higher than in the pulmonary arteries (0.15 L/min ± 0.10) and descending aorta and superior vena cava (0.14 L/min ± 0.12). The standard deviation of cardiac output observed in the aAo was significantly greater (P < .01) in patients with moderate or severe vorticity (0.73 L/min ± 0.55) than in those with none or mild vorticity (0.44 L/min ± 0.26).
CONCLUSION: Cardiac output and blood flow are essential MRI measurements in the evaluation of structural heart disease. Vorticity visualization may be used to help guide optimal location for flow quantification.© RSNA, 2020See also the commentary by Markl in this issue. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 32715299      PMCID: PMC7053178          DOI: 10.1148/ryct.2020190054

Source DB:  PubMed          Journal:  Radiol Cardiothorac Imaging        ISSN: 2638-6135


  17 in total

Review 1.  4D flow MRI.

Authors:  Michael Markl; Alex Frydrychowicz; Sebastian Kozerke; Mike Hope; Oliver Wieben
Journal:  J Magn Reson Imaging       Date:  2012-11       Impact factor: 4.813

2.  Four-dimensional flow magnetic resonance imaging visualizes drastic changes in the blood flow in a patient with chronic thromboembolic pulmonary hypertension after pulmonary thromboendarterectomy.

Authors:  Q Joyce Han; Francisco Contijoch; Paul R Forfia; Yuchi Han
Journal:  Eur Heart J       Date:  2016-02-27       Impact factor: 29.983

3.  Vortex flow during early and late left ventricular filling in normal subjects: quantitative characterization using retrospectively-gated 4D flow cardiovascular magnetic resonance and three-dimensional vortex core analysis.

Authors:  Mohammed S M Elbaz; Emmeline E Calkoen; Jos J M Westenberg; Boudewijn P F Lelieveldt; Arno A W Roest; Rob J van der Geest
Journal:  J Cardiovasc Magn Reson       Date:  2014-09-27       Impact factor: 5.364

4.  Volumetric segmentation-free method for rapid visualization of vascular wall shear stress using 4D flow MRI.

Authors:  Evan M Masutani; Francisco Contijoch; Espoir Kyubwa; Joseph Cheng; Marcus T Alley; Shreyas Vasanawala; Albert Hsiao
Journal:  Magn Reson Med       Date:  2018-03-07       Impact factor: 4.668

Review 5.  Congenital heart disease assessment with 4D flow MRI.

Authors:  Shreyas S Vasanawala; Kate Hanneman; Marcus T Alley; Albert Hsiao
Journal:  J Magn Reson Imaging       Date:  2015-02-24       Impact factor: 4.813

6.  Rapid pediatric cardiac assessment of flow and ventricular volume with compressed sensing parallel imaging volumetric cine phase-contrast MRI.

Authors:  Albert Hsiao; Michael Lustig; Marcus T Alley; Mark Murphy; Frandics P Chan; Robert J Herfkens; Shreyas S Vasanawala
Journal:  AJR Am J Roentgenol       Date:  2012-03       Impact factor: 3.959

7.  4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI.

Authors:  Jennifer F Feneis; Espoir Kyubwa; Kimberly Atianzar; Joseph Y Cheng; Marcus T Alley; Shreyas S Vasanawala; Anthony N Demaria; Albert Hsiao
Journal:  J Magn Reson Imaging       Date:  2018-04-11       Impact factor: 4.813

8.  Evaluation of atrial septal defects with 4D flow MRI-multilevel and inter-reader reproducibility for quantification of shunt severity.

Authors:  Raluca G Chelu; Michael Horowitz; Dominica Sucha; Isabella Kardys; Delphine Ingremeau; Shreyas Vasanawala; Koen Nieman; Jean-Francois Paul; Albert Hsiao
Journal:  MAGMA       Date:  2018-08-31       Impact factor: 2.310

Review 9.  4D flow cardiovascular magnetic resonance consensus statement.

Authors:  Petter Dyverfeldt; Malenka Bissell; Alex J Barker; Ann F Bolger; Carl-Johan Carlhäll; Tino Ebbers; Christopher J Francios; Alex Frydrychowicz; Julia Geiger; Daniel Giese; Michael D Hope; Philip J Kilner; Sebastian Kozerke; Saul Myerson; Stefan Neubauer; Oliver Wieben; Michael Markl
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-10       Impact factor: 5.364

Review 10.  Cardiovascular magnetic resonance phase contrast imaging.

Authors:  Krishna S Nayak; Jon-Fredrik Nielsen; Matt A Bernstein; Michael Markl; Peter D Gatehouse; Rene M Botnar; David Saloner; Christine Lorenz; Han Wen; Bob S Hu; Frederick H Epstein; John N Oshinski; Subha V Raman
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-09       Impact factor: 5.364

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  4 in total

1.  How Well Does an Automated Approach Calculate and Visualize Blood Flow Vorticity at 4D Flow MRI?

Authors:  Michael Markl
Journal:  Radiol Cardiothorac Imaging       Date:  2020-02-27

2.  Prevalence of Venovenous Shunting and High-Output State Quantified with 4D Flow MRI in Patients with Fontan Circulation.

Authors:  Francesca Raimondi; Duarte Martins; Raluca Coenen; Elena Panaioli; Diala Khraiche; Nathalie Boddaert; Damien Bonnet; Melany Atkins; Howaida El-Said; Laith Alshawabkeh; Albert Hsiao
Journal:  Radiol Cardiothorac Imaging       Date:  2021-12-16

3.  4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization.

Authors:  Michael J Horowitz; Daniel F Kupsky; Howaida G El-Said; Laith Alshawabkeh; Seth J Kligerman; Albert Hsiao
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-01

4.  An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.

Authors:  Elisa Fevola; Francesco Ballarin; Laura Jiménez-Juan; Stephen Fremes; Stefano Grivet-Talocia; Gianluigi Rozza; Piero Triverio
Journal:  Int J Numer Method Biomed Eng       Date:  2021-08-15       Impact factor: 2.648

  4 in total

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