Literature DB >> 33778618

Quantification of Mitral Valve Regurgitation from 4D Flow MRI Using Semiautomated Flow Tracking.

Carmen P S Blanken1, Jos J M Westenberg1, Jean-Paul Aben1, Geertruida P Bijvoet1, Steven A J Chamuleau1, S Matthijs Boekholdt1, Aart J Nederveen1, Tim Leiner1, Pim van Ooij1, R Nils Planken1.   

Abstract

PURPOSE: To compare the accuracy of semiautomated flow tracking with that of semiautomated valve tracking in the quantification of mitral valve (MV) regurgitation from clinical four-dimensional (4D) flow MRI data obtained in patients with mild, moderate, or severe MV regurgitation.
MATERIALS AND METHODS: The 4D flow MRI data were retrospectively collected from 30 patients (21 men; mean age, 61 years ± 10 [standard deviation]) who underwent 4D flow MRI from 2006 to 2016. Ten patients had mild MV regurgitation, nine had moderate MV regurgitation, and 11 had severe MV regurgitation, as diagnosed by using semiquantitative echocardiography. The regurgitant volume (Rvol) across the MV was obtained using three methods: indirect quantification of Rvol (RvolINDIRECT), semiautomated quantification of Rvol using valve tracking (RvolVALVE), and semiautomated quantification of Rvol using flow tracking (RvolFLOW). A second observer repeated the measurements. Aortic valve flow was quantified as well to test for intervalve consistency. The Wilcoxon signed rank test, orthogonal regression, Bland-Altman analysis, and coefficients of variation were used to assess agreement among measurements and between observers.
RESULTS: RvolFLOW was higher (median, 24.8 mL; interquartile range [IQR], 14.3-45.7 mL) than RvolVALVE (median, 9.9 mL; IQR, 6.0-16.9 mL; P < .001). Both RvolFLOW and RvolVALVE differed significantly from RvolINDIRECT (median, 19.1 mL; IQR, 4.1-47.5 mL; P = .03). RvolFLOW agreed more with RvolINDIRECT (ŷ = 0.78x + 12, r = 0.88) than with RvolVALVE (ŷ = 0.16x + 8.1, r = 0.53). Bland-Altman analysis revealed underestimation of RvolVALVE in severe MV regurgitation. Interobserver agreement was excellent for RvolFLOW (r = 0.95, coefficient of variation = 27%) and moderate for RvolVALVE (r = 0.72, coefficient of variation = 57%). Orthogonal regression demonstrated better intervalve consistency for flow tracking (ŷ = 1.2x - 13.4, r = 0.82) than for valve tracking (ŷ = 2.7x - 92.4, r = 0.67).
CONCLUSION: Flow tracking enables more accurate 4D flow MRI-derived MV regurgitation quantification than valve tracking in terms of agreement with indirect quantification and intervalve consistency, particularly in severe MV regurgitation.Supplemental material is available for this article.© RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 33778618      PMCID: PMC7977692          DOI: 10.1148/ryct.2020200004

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


  30 in total

1.  Increased oxidative stress and cardiomyocyte myofibrillar degeneration in patients with chronic isolated mitral regurgitation and ejection fraction >60%.

Authors:  Mustafa I Ahmed; James D Gladden; Silvio H Litovsky; Steven G Lloyd; Himanshu Gupta; Seidu Inusah; Thomas Denney; Pamela Powell; David C McGiffin; Louis J Dell'Italia
Journal:  J Am Coll Cardiol       Date:  2010-02-16       Impact factor: 24.094

2.  Guidelines on the management of valvular heart disease: The Task Force on the Management of Valvular Heart Disease of the European Society of Cardiology.

Authors:  Alec Vahanian; Helmut Baumgartner; Jeroen Bax; Eric Butchart; Robert Dion; Gerasimos Filippatos; Frank Flachskampf; Roger Hall; Bernard Iung; Jaroslaw Kasprzak; Patrick Nataf; Pilar Tornos; Lucia Torracca; Arnold Wenink
Journal:  Eur Heart J       Date:  2007-01-26       Impact factor: 29.983

3.  Reproducibility of proximal isovelocity surface area, vena contracta, and regurgitant jet area for assessment of mitral regurgitation severity.

Authors:  Simon Biner; Asim Rafique; Farhad Rafii; Kirsten Tolstrup; Omid Noorani; Takahiro Shiota; Swaminatha Gurudevan; Robert J Siegel
Journal:  JACC Cardiovasc Imaging       Date:  2010-03

4.  Semiautomated method for noise reduction and background phase error correction in MR phase velocity data.

Authors:  P G Walker; G B Cranney; M B Scheidegger; G Waseleski; G M Pohost; A P Yoganathan
Journal:  J Magn Reson Imaging       Date:  1993 May-Jun       Impact factor: 4.813

5.  Outcome and undertreatment of mitral regurgitation: a community cohort study.

Authors:  Volha Dziadzko; Marie-Annick Clavel; Mikhail Dziadzko; Jose R Medina-Inojosa; Hector Michelena; Joseph Maalouf; Vuyisile Nkomo; Prabin Thapa; Maurice Enriquez-Sarano
Journal:  Lancet       Date:  2018-03-10       Impact factor: 79.321

6.  What are the characteristics of patients with severe, symptomatic, mitral regurgitation who are denied surgery?

Authors:  Mariana Mirabel; Bernard Iung; Gabriel Baron; David Messika-Zeitoun; Delphine Détaint; Jean-Louis Vanoverschelde; Eric G Butchart; Philippe Ravaud; Alec Vahanian
Journal:  Eur Heart J       Date:  2007-03-09       Impact factor: 29.983

7.  Quantification of functional mitral regurgitation by real-time 3D echocardiography: comparison with 3D velocity-encoded cardiac magnetic resonance.

Authors:  Nina Ajmone Marsan; Jos J M Westenberg; Claudia Ypenburg; Victoria Delgado; Rutger J van Bommel; Stijntje D Roes; Gaetano Nucifora; Rob J van der Geest; Albert de Roos; Johan C Reiber; Martin J Schalij; Jeroen J Bax
Journal:  JACC Cardiovasc Imaging       Date:  2009-11

8.  Quantification of left ventricular remodeling in response to isolated aortic or mitral regurgitation.

Authors:  Seth Uretsky; Azhar Supariwala; Puspalatha Nidadovolu; Surinder S Khokhar; Cindy Comeau; Oleg Shubayev; Francesca Campanile; Steven D Wolff
Journal:  J Cardiovasc Magn Reson       Date:  2010-05-24       Impact factor: 5.364

9.  Automated Cardiac Valve Tracking for Flow Quantification with Four-dimensional Flow MRI.

Authors:  Vivian P Kamphuis; Arno A W Roest; Nina Ajmone Marsan; Pieter J van den Boogaard; Lucia J M Kroft; Jean-Paul Aben; Jeroen J Bax; Albert de Roos; Hildo J Lamb; Jos J M Westenberg
Journal:  Radiology       Date:  2018-10-30       Impact factor: 11.105

Review 10.  Cardiovascular magnetic resonance artefacts.

Authors:  Pedro F Ferreira; Peter D Gatehouse; Raad H Mohiaddin; David N Firmin
Journal:  J Cardiovasc Magn Reson       Date:  2013-05-22       Impact factor: 5.364

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  4 in total

1.  Whole-Heart 4D Flow MRI for Evaluation of Normal and Regurgitant Valvular Flow: A Quantitative Comparison Between Pseudo-Spiral Sampling and EPI Readout.

Authors:  Carmen P S Blanken; Lukas M Gottwald; Jos J M Westenberg; Eva S Peper; Bram F Coolen; Gustav J Strijkers; Aart J Nederveen; R Nils Planken; Pim van Ooij
Journal:  J Magn Reson Imaging       Date:  2021-09-12       Impact factor: 5.119

Review 2.  Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review.

Authors:  Miroslawa Gorecka; Malenka M Bissell; David M Higgins; Pankaj Garg; Sven Plein; John P Greenwood
Journal:  J Cardiovasc Magn Reson       Date:  2022-08-22       Impact factor: 6.903

Review 3.  Role of Cardiovascular Magnetic Resonance in Native Valvular Regurgitation: A Comprehensive Review of Protocols, Grading of Severity, and Prediction of Valve Surgery.

Authors:  Emmanuelle Vermes; Laura Iacuzio; Franck Levy; Yohann Bohbot; Cédric Renard; Bernhard Gerber; Sylvestre Maréchaux; Christophe Tribouilloy
Journal:  Front Cardiovasc Med       Date:  2022-07-07

4.  Clinical intra-cardiac 4D flow CMR: acquisition, analysis, and clinical applications.

Authors:  Ahmet Demirkiran; Pim van Ooij; Jos J M Westenberg; Mark B M Hofman; Hans C van Assen; Linda J Schoonmade; Usman Asim; Carmen P S Blanken; Aart J Nederveen; Albert C van Rossum; Marco J W Götte
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2022-01-24       Impact factor: 6.875

  4 in total

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