Christian Stehning

Gerhard Adam

Gunnar Lund

Kai Muellerleile

Katharina Koopmann

Lukas Radziwolek

Sebastian Bohnen

Stefan Blankenberg

Ulf K Radunski

Journal of Cardiovascular Magnetic Resonance

PubMed

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POSTER PRESENTATION Open Access
Predicting mortality in patients with non-ischemic
dilative cardiomyopathy: Potential of extracellular
volume imaging by cardiovascular magnetic
resonance
Katharina Koopmann1*, Ulf K Radunski1, Sebastian Bohnen1, Lukas Radziwolek1, Gunnar Lund2, Christian Stehning3,
Gerhard Adam2, Stefan Blankenberg1, Kai Muellerleile1
From 17th Annual SCMR Scientific Sessions
New Orleans, LA, USA. 16-19 January 2014
Background
Predicting mortality in patients with non-ischemic dilated
cardiomyopathy (NIDCM) is currently demanding and
requires complex models. Assessing the extracellular
volume fraction (ECV) by T1-mapping cardiovascular
magnetic resonance (CMR) is an attractive approach to
quantify myocardial injury as a potential predictor of
adverse events in these patients. This study evaluated
ECV imaging by T1-mapping CMR in comparison with
the established “Seattle Heart Failure Model” (SHFM;
http://www.seattleheartfailuremodel.org).
Methods
This study included 50 patients with heart failure and
reduced left ventricular (LV) ejection fraction due to
non-ischemic cardiomyopathy. The SHFM was used to
estimate 1, 2 and 5 year mortalities as well as life expec-
tancy, respectively. T1 quantification was performed at
1.5 Tesla using the modified Look-Locker inversion-
recovery (MOLLI) sequence on 3 short-axes before and
15 minutes after administration of 0.075 mmol/kg
gadolinium-BOPTA. Global myocardial ECV was then
calculated from native and post-contrast T1 maps gen-
erated by a dedicated plug-in written for the OsiriX
software, respectively.
Results
Median predicted 1-, 2- and 5-year mortalities were 4%
(interquartile range 2-6%), 7% (interquartile range 5-12%)
and 16% (interquartile range 12-28%) in the study popu-
lation, respectively. Median estimated life expectancy was
13 years (interquartile range 9-15 years). A significant
correlation was found between global myocardial ECV
and predicted 1- (r = 0.47; p < 0.001), 2- (r = 0.46;
p < 0.001) and 5-year mortality (r = 0.46; p < 0.001),
respectively. Furthermore, a significant inverse correlation
was found between global myocardial ECV and predicted
life expectancy (r = -0.37; p < 0.01).
Conclusions
Myocardial injury as quantified by ECV-imaging correlates
well with predicted mortality and has great potential to
improve risk stratification in patients with heart failure
due to NIDCM.
Funding
No funding.
Authors’ details
1Cardiology, University Heart Center, Hamburg, Germany. 2Radiology,
University Medical Center, Hamburg, Germany. 3Philips Research, Hamburg,
Germany.
Published: 16 January 2014
doi:10.1186/1532-429X-16-S1-P88
Cite this article as: Koopmann et al.: Predicting mortality in patients
with non-ischemic dilative cardiomyopathy: Potential of extracellular
volume imaging by cardiovascular magnetic resonance. Journal of
Cardiovascular Magnetic Resonance 2014 16(Suppl 1):P88.
1Cardiology, University Heart Center, Hamburg, Germany
Full list of author information is available at the end of the article
Koopmann et al. Journal of Cardiovascular Magnetic
Resonance 2014, 16(Suppl 1):P88
http://www.jcmr-online.com/content/16/S1/P88
© 2014 Koopmann et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.


Predicting mortality in patients with non-ischemic dilative cardiomyopathy: Potential of extracellular volume imaging by cardiovascular magnetic resonance

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Predicting mortality in patients with non-ischemic dilative cardiomyopathy: Potential of extracellular volume imaging by cardiovascular magnetic resonance

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