Literature DB >> 29774187

Multimodality imaging for the quantitative assessment of mitral regurgitation.

Pei G Chew1, Katrina Bounford2, Sven Plein1, Dominik Schlosshan2, John P Greenwood1.   

Abstract

The natural history of mitral regurgitation (MR) results in significant morbidity and mortality. Innovations in non-invasive imaging have provided new insights into the pathophysiology and quantification of MR, in addition to early detection of left ventricular (LV) dysfunction and prognostic assessment in asymptomatic patients. Transthoracic (TTE) and transesophageal (TOE) echocardiography are the mainstay for diagnosis, assessment and serial surveillance. However, the advance from 2D to 3D imaging leads to improved assessment and characterization of mitral valve (MV) disease. Cardiovascular magnetic resonance (CMR) is increasingly used for MR quantitation and can provide an alternative imaging method if echocardiography is suboptimal or inconclusive. Other techniques such as exercise echocardiography, tissue Doppler imaging and speckle-tracking echocardiography can further offer complementary information on prognosis. This review summarises the current evidence for state-of-the-art cardiovascular imaging for the investigation of MR. Whilst advanced echocardiographic techniques are superior in the evaluation of complex MV anatomy, CMR appears the most accurate technique for the quantification of MR severity. Integration of multimodality imaging for the assessment of MR utilises the advantages of each imaging technique and offers the most comprehensive assessment of MR.

Entities:  

Keywords:  Cardiovascular magnetic resonance (CMR); echocardiography; mitral regurgitation (MR); mitral valve disease (MV disease)

Year:  2018        PMID: 29774187      PMCID: PMC5941213          DOI: 10.21037/qims.2018.04.01

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  95 in total

1.  Quantification of regurgitant fraction in mitral regurgitation by cardiovascular magnetic resonance: comparison of techniques.

Authors:  Mark W S Kon; Saul G Myerson; Neil E Moat; Dudley J Pennell
Journal:  J Heart Valve Dis       Date:  2004-07

2.  Direct visualization of regurgitant orifice by CMR reveals differential asymmetry according to etiology of mitral regurgitation.

Authors:  Stefan Buchner; Florian Poschenrieder; Okka W Hamer; Carsten Jungbauer; Markus Resch; Christoph Birner; Claudia Fellner; Günter A Riegger; Christian Stroszczynski; Behrus Djavidani; Kurt Debl; Andreas Luchner
Journal:  JACC Cardiovasc Imaging       Date:  2011-10

Review 3.  Defining "severe" secondary mitral regurgitation: emphasizing an integrated approach.

Authors:  Paul A Grayburn; Blasé Carabello; Judy Hung; Linda D Gillam; David Liang; Michael J Mack; Patrick M McCarthy; D Craig Miller; Alfredo Trento; Robert J Siegel
Journal:  J Am Coll Cardiol       Date:  2014-12-30       Impact factor: 24.094

4.  Real-time three-dimensional transesophageal echocardiography for assessment of mitral valve functional anatomy in patients with prolapse-related regurgitation.

Authors:  Giovanni La Canna; Iryna Arendar; Francesco Maisano; Fabrizio Monaco; Egidio Collu; Stefano Benussi; Michele De Bonis; Alessandro Castiglioni; Ottavio Alfieri
Journal:  Am J Cardiol       Date:  2011-03-02       Impact factor: 2.778

5.  Quantification of mitral regurgitation by velocity-encoded cine nuclear magnetic resonance imaging.

Authors:  N Fujita; A F Chazouilleres; J J Hartiala; M O'Sullivan; P Heidenreich; J D Kaplan; H Sakuma; E Foster; G R Caputo; C B Higgins
Journal:  J Am Coll Cardiol       Date:  1994-03-15       Impact factor: 24.094

6.  Contrast-enhanced magnetic resonance imaging identifies focal regions of intramyocardial fibrosis in patients with severe aortic valve disease: Correlation with quantitative histopathology.

Authors:  Marcelo Nigri; Clerio F Azevedo; Carlos Eduardo Rochitte; Vladimir Schraibman; Flavio Tarasoutchi; Pablo M Pommerantzeff; Carlos Manuel Brandão; Roney O Sampaio; José R Parga; Luiz F Avila; Guilherme S Spina; Max Grinberg
Journal:  Am Heart J       Date:  2008-12-09       Impact factor: 4.749

7.  Mechanism of dynamic regurgitant orifice area variation in functional mitral regurgitation: physiologic insights from the proximal flow convergence technique.

Authors:  J Hung; Y Otsuji; M D Handschumacher; E Schwammenthal; R A Levine
Journal:  J Am Coll Cardiol       Date:  1999-02       Impact factor: 24.094

8.  Quantitative Doppler assessment of valvular regurgitation.

Authors:  M Enriquez-Sarano; K R Bailey; J B Seward; A J Tajik; M J Krohn; J M Mays
Journal:  Circulation       Date:  1993-03       Impact factor: 29.690

9.  Myocardial deformation imaging by two-dimensional speckle-tracking echocardiography in comparison to late gadolinium enhancement cardiac magnetic resonance for analysis of myocardial fibrosis in severe aortic stenosis.

Authors:  Rainer Hoffmann; Ertunc Altiok; Zvi Friedman; Michael Becker; Michael Frick
Journal:  Am J Cardiol       Date:  2014-07-18       Impact factor: 2.778

Review 10.  Recommendations for the echocardiographic assessment of native valvular regurgitation: an executive summary from the European Association of Cardiovascular Imaging.

Authors:  Patrizio Lancellotti; Christophe Tribouilloy; Andreas Hagendorff; Bogdan A Popescu; Thor Edvardsen; Luc A Pierard; Luigi Badano; Jose L Zamorano
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2013-06-03       Impact factor: 6.875

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  4 in total

1.  Comparison between 2D and 3D echocardiography for quantitative assessment of mitral regurgitation: Current status.

Authors:  Sudhakar Subramani
Journal:  Ann Card Anaesth       Date:  2022 Apr-Jun

2.  Initial Experience of Transthoracic Echocardiography at a Newly Operational Satellite Center in Hyderabad, Pakistan.

Authors:  Iram J Balouch; Nadeem Qamar; Lubna Baqai; Mariam Naz; Sumyia Gurmani; Musa Karim
Journal:  Cureus       Date:  2019-09-23

3.  Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images.

Authors:  Qinglu Zhang; Yuanqin Liu; Jia Mi; Xing Wang; Xia Liu; Fenfen Zhao; Cuihuan Xie; Peipei Cui; Qingling Zhang; Xiangming Zhu
Journal:  Comput Math Methods Med       Date:  2021-09-13       Impact factor: 2.238

4.  A Scoping Review of Non-invasive Imaging Modalities in Dermatological Disease: Potential Novel Biomarkers in Hidradenitis Suppurativa.

Authors:  David Grand; Kristina Navrazhina; John W Frew
Journal:  Front Med (Lausanne)       Date:  2019-11-06
  4 in total

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