Literature DB >> 22128204

Prognostic importance of late gadolinium enhancement cardiovascular magnetic resonance in cardiomyopathy.

Tevfik F Ismail1, Sanjay K Prasad, Dudley J Pennell.   

Abstract

Cardiovascular magnetic resonance has revolutionised the diagnosis of cardiomyopathy, particularly through the use of late gadolinium enhancement imaging which provides the unique opportunity to assess myocardial fibrosis in vivo. More recently, the prognostic capability of cardiovascular magnetic resonance to predict outcomes has been assessed. Traditional risk markers do not at present adequately predict outcomes in either dilated cardiomyopathy or hypertrophic cardiomyopathy, which are the two most common causes of primary heart muscle disease. Many of these existing markers reflect underlying disease severity. Given the important role fibrosis is thought to play in the pathogenesis and sequelae of these cardiomyopathies, the presence and amount of fibrosis has been proposed as a potential novel risk factor for adverse events. This paper reviews the evidence for late gadolinium enhancement as a prognostic marker in dilated and hypertrophic cardiomyopathy and highlights the challenges ahead.

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Year:  2011        PMID: 22128204     DOI: 10.1136/heartjnl-2011-300814

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  23 in total

Review 1.  Complementary Role of Echocardiography and Cardiac Magnetic Resonance in Hypertrophic Cardiomyopathy.

Authors:  Waseem Hindieh; Raymond Chan; Harry Rakowski
Journal:  Curr Cardiol Rep       Date:  2017-09       Impact factor: 2.931

2.  Cardiovascular magnetic resonance T2 mapping can detect myocardial edema in idiopathic dilated cardiomyopathy.

Authors:  Tatsuya Nishii; Atsushi K Kono; Mayumi Shigeru; Sachiko Takamine; Sei Fujiwara; Katsusuke Kyotani; Nobukazu Aoyama; Kazuro Sugimura
Journal:  Int J Cardiovasc Imaging       Date:  2014-04-09       Impact factor: 2.357

3.  Coronary microcirculation changes in non-ischemic dilated cardiomyopathy identified by novel perfusion CT.

Authors:  Wayne L Miller; Thomas R Behrenbeck; Cynthia H McCollough; Eric E Williamson; Shuai Leng; Timothy L Kline; Erik L Ritman
Journal:  Int J Cardiovasc Imaging       Date:  2015-02-25       Impact factor: 2.357

Review 4.  Evaluation of Hypertrophic Cardiomyopathy: Newer Echo and MRI Approaches.

Authors:  Manhal Habib; Sara Hoss; Harry Rakowski
Journal:  Curr Cardiol Rep       Date:  2019-06-26       Impact factor: 2.931

5.  Cardiac magnetic resonance and galectin-3 level as predictors of prognostic outcomes for non-ischemic cardiomyopathy patients.

Authors:  Da-Jun Hu; Jing Xu; Wei Du; Jian-Xin Zhang; Min Zhong; Ya-Nan Zhou
Journal:  Int J Cardiovasc Imaging       Date:  2016-08-26       Impact factor: 2.357

6.  Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology.

Authors:  Natalia A Trayanova; Fijoy Vadakkumpadan; Eranga Ukwatta; Hermenegild Arevalo; Kristina Li; Jing Yuan; Wu Qiu; Peter Malamas; Katherine C Wu
Journal:  IEEE Trans Med Imaging       Date:  2015-12-25       Impact factor: 10.048

7.  Cardiac imaging in adults with congenital heart disease: unknowns and issues related to diagnosis.

Authors:  Cylen Javidan-Nejad; Anderanik Tomasian; Elham Najafpour
Journal:  Curr Treat Options Cardiovasc Med       Date:  2013-10

8.  The Prognostic Role of Tissue Characterisation using Cardiovascular Magnetic Resonance in Heart Failure.

Authors:  Robert D Adam; James Shambrook; Andrew S Flett
Journal:  Card Fail Rev       Date:  2017-11

Review 9.  Current Role And Future Prospects Of Magnetic Resonance Imaging In The Field Of Atrial Fibrillation Ablation.

Authors:  Pilar Cabanas Grandío; Felipe Bisbal
Journal:  J Atr Fibrillation       Date:  2015-10-31

10.  Relationship of basal-septal fibrosis with LV outflow tract obstruction in hypertrophic cardiomyopathy: insights from cardiac magnetic resonance analysis.

Authors:  Takashi Nakamura; Yoshitaka Iwanaga; Masakazu Yasuda; Takayuki Kawamura; Yuki Miyaji; Hanako Morooka; Shunichi Miyazaki
Journal:  Int J Cardiovasc Imaging       Date:  2015-11-20       Impact factor: 2.357

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