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Cardiac MR feature tracking identifies abnormal biventricular global strain values in biopsy-proven non-ischemic cardiomyopathies

Authors :
Maria Carr
Bruce S Spottiswoode
James C. Carr
Madeline M Stark
Daniel C. Lee
Marcos P Ferreira Botelho
Kevin Kalisz
Peter M Smith
Jeremy D. Collins
Bradley D. Allen
Benjamin H. Freed
Source :
Journal of Cardiovascular Magnetic Resonance
Publisher :
Springer Nature

Abstract

Background Cardiac MR is the reference standard for assessing biventricular systolic function and delayed enhancement. However, changes in systolic function as assessed by global parameters such as ventricular ejection fraction are late indicators of adverse structure-function changes. Myocardial strain has shown promise to identify abnormal potentially reversible regional myocardial function, preceding changes in the ejection fraction. Feature tracking cardiac MR is a novel technique to quantitate myocardial function, tracking biventricular myocardial features to generate Lagrangian strain values from existing cine balanced steady state free precession (bSSFP) data. The purpose of this study is to assess the feasibility of retrospective strain analysis in a patient cohort with biopsy-proven non-ischemic cardiomyopathy, comparing to strain data in healthy volunteers. Methods 26 consecutive patients (21 men, avg age 64 years) with a biopsy proven non-ischemic cardiomyopathy (NICM) and 20 healthy volunteers (14 men, avg age 44 years) underwent cardiac MR (CMR) imaging at 1.5T with bSSFP segmented cine imaging with a temporal resolution of 25-40 msec. bSSFP cine images were evaluated by a single observer using prototype software employing deformation field analysis to generate Lagrangian strain values for the left (LV - radial, circumferential, longitudinal) and right ventricles (RV - longitudinal). LV (LVEF) and RV ejection fraction (RVEF) were quantified on a dedicated workstation by a single observer. A twotailed student’s t-test assessed differences in strain values between groups, with an alpha of 0.05 chosen to demarcate statistical significance. Results

Details

Language :
English
ISSN :
1532429X
Volume :
17
Issue :
Suppl 1
Database :
OpenAIRE
Journal :
Journal of Cardiovascular Magnetic Resonance
Accession number :
edsair.doi.dedup.....6c66651e91bfe7cdff6c829154fb7635
Full Text :
https://doi.org/10.1186/1532-429x-17-s1-q8