Literature DB >> 19306402

Strain-encoded MRI to evaluate normal left ventricular function and timing of contraction at 3.0 Tesla.

Ashraf Hamdan1, Thomas Thouet, Sebastian Kelle, Ernst Wellnhofer, Ingo Paetsch, Rolf Gebker, Bernhard Schnackenburg, Ahmed S Fahmy, Nael F Osman, Axel Bornstedt, Eckart Fleck.   

Abstract

PURPOSE: To define the reproducibility of strain-encoded (SENC) magnetic resonance imaging (MRI) for assessment of regional left ventricular myocardial strain and timing of contraction in a 3T MRI system.
MATERIALS AND METHODS: The study population consisted of 16 healthy subjects. SENC measurements were performed in three short-axis (SA) slices (apical, mid, and basal) and three long-axis (LA) views (two-, three-, and four-chamber) for assessment of maximal transmural systolic strain and time to peak strain. To assess the interobserver and interstudy reproducibility, analysis of SENC MRI was performed by two independent observers who were blinded to each other's results and four studies were repeated on a different day.
RESULTS: Maximal longitudinal strain was highest at the apex, as was maximal circumferential strain. Peak longitudinal strain occurred earliest at the base, as did peak circumferential strain. Interclass correlation coefficient between observers and repeated studies ranged from 0.92 to 0.98 (P < 0.001 for all).
CONCLUSION: The present study demonstrates the ability of SENC MRI to define regional left ventricular strain and the time sequence of regional strain. SENC MRI may represent a highly objective method for quantifying regional left ventricular function.

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Year:  2009        PMID: 19306402     DOI: 10.1002/jmri.21684

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


  6 in total

Review 1.  Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.

Authors:  El-Sayed H Ibrahim
Journal:  J Cardiovasc Magn Reson       Date:  2011-07-28       Impact factor: 5.364

2.  Quantitative detection of changes in regional wall motion using real time strain-encoded cardiovascular magnetic resonance.

Authors:  Keigo Kawaji; Noreen Nazir; John A Blair; Victor Mor-Avi; Stephanie Besser; Kohei Matsumoto; Jacob P Goes; Darius Dabir; Lukas Stoiber; Sebastian Kelle; Seyedeh Mahsa Zamani; Luise Holzhauser; Roberto M Lang; Amit R Patel
Journal:  Magn Reson Imaging       Date:  2019-09-01       Impact factor: 2.546

3.  The consistency of myocardial strain derived from heart deformation analysis.

Authors:  Eric J Keller; Shanna Fang; Kai Lin; Benjamin H Freed; Peter M Smith; Bruce S Spottiswoode; Rachel Davids; Maria Carr; Marie-Pierre Jolly; Michael Markl; James C Carr; Jeremy D Collins
Journal:  Int J Cardiovasc Imaging       Date:  2017-02-26       Impact factor: 2.357

4.  Left ventricular myocardial strain in ventricular arrhythmia without structural heart disease using cardiac magnetic resonance.

Authors:  Xuepei Tang; Sisi Yu; Yaohan Yu; Haibo Ren; Shuhao Li; Li Zhou; Zhen Yang; Hailong Wu; Wei Zhou; Lianggeng Gong
Journal:  Am J Transl Res       Date:  2017-06-15       Impact factor: 4.060

5.  Strain-encoded magnetic resonance: a method for the assessment of myocardial deformation.

Authors:  Grigorios Korosoglou; Sorin Giusca; Nina P Hofmann; Amit R Patel; Tomas Lapinskas; Burkert Pieske; Henning Steen; Hugo A Katus; Sebastian Kelle
Journal:  ESC Heart Fail       Date:  2019-04-25

6.  Inter-study reproducibility of cardiovascular magnetic resonance tagging.

Authors:  Sirisha Donekal; Bharath Ambale-Venkatesh; Seth Berkowitz; Colin O Wu; Eui Young Choi; Veronica Fernandes; Raymond Yan; Ahmed A Harouni; David A Bluemke; Joao A C Lima
Journal:  J Cardiovasc Magn Reson       Date:  2013-05-10       Impact factor: 5.364

  6 in total

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