Cardiovascular magnetic resonance myocardial feature tracking detects quantitative wall motion during dobutamine stress
8 pages
English

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Cardiovascular magnetic resonance myocardial feature tracking detects quantitative wall motion during dobutamine stress

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8 pages
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Description

Dobutamine stress cardiovascular magnetic resonance (DS-CMR) is an established tool to assess hibernating myocardium and ischemia. Analysis is typically based on visual assessment with considerable operator dependency. CMR myocardial feature tracking (CMR-FT) is a recently introduced technique for tissue voxel motion tracking on standard steady-state free precession (SSFP) images to derive circumferential and radial myocardial mechanics. We sought to determine the feasibility and reproducibility of CMR-FT for quantitative wall motion assessment during intermediate dose DS-CMR. Methods 10 healthy subjects were studied at 1.5 Tesla. Myocardial strain parameters were derived from SSFP cine images using dedicated CMR-FT software (Diogenes MRI prototype; Tomtec; Germany). Right ventricular (RV) and left ventricular (LV) longitudinal strain (Ell RV and Ell LV ) and LV long-axis radial strain (Err LAX ) were derived from a 4-chamber view at rest. LV short-axis circumferential strain (Ecc SAX ) and Err SAX ; LV ejection fraction (EF) and volumes were analyzed at rest and during dobutamine stress (10 and 20 μg · kg -1 · min -1 ). Results In all volunteers strain parameters could be derived from the SSFP images at rest and stress. Ecc SAX values showed significantly increased contraction with DSMR (rest: -24.1 ± 6.7; 10 μg: -32.7 ± 11.4; 20 μg: -39.2 ± 15.2; p < 0.05). Err SAX increased significantly with dobutamine (rest: 19.6 ± 14.6; 10 μg: 31.8 ± 20.9; 20 μg: 42.4 ± 25.5; p < 0.05). In parallel with these changes; EF increased significantly with dobutamine (rest: 56.9 ± 4.4%; 10 μg: 70.7 ± 8.1; 20 μg: 76.8 ± 4.6; p < 0.05). Observer variability was best for LV circumferential strain (Ecc SAX ) and worst for RV longitudinal strain (Ell RV ) as determined by 95% confidence intervals of the difference. Conclusions CMR-FT reliably detects quantitative wall motion and strain derived from SSFP cine imaging that corresponds to inotropic stimulation. The current implementation may need improvement to reduce observer-induced variance. Within a given CMR lab; this novel technique holds promise of easy and fast quantification of wall mechanics and strain.

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Publié par
Publié le 01 janvier 2011
Nombre de lectures 5
Langue English
Poids de l'ouvrage 1 Mo

Extrait

Schusteret al.Journal of Cardiovascular Magnetic Resonance2011,13:58 http://www.jcmronline.com/content/13/1/58
R E S E A R C H
Open Access
Cardiovascular magnetic resonance myocardial feature tracking detects quantitative wall motion during dobutamine stress 1*22 22 3 Andreas Schuster , Shelby Kutty , Asif Padiyath , Victoria Parish , Paul Gribben , David A Danford , 1,4 1,5 1,31Marcus R Makowski , Boris Bigalke , Philipp Beerbaum and Eike Nagel
Abstract Background:Dobutamine stress cardiovascular magnetic resonance (DSCMR) is an established tool to assess hibernating myocardium and ischemia. Analysis is typically based on visual assessment with considerable operator dependency. CMR myocardial feature tracking (CMRFT) is a recently introduced technique for tissue voxel motion tracking on standard steadystate free precession (SSFP) images to derive circumferential and radial myocardial mechanics. We sought to determine the feasibility and reproducibility of CMRFT for quantitative wall motion assessment during intermediate dose DSCMR. Methods:10 healthy subjects were studied at 1.5 Tesla. Myocardial strain parameters were derived from SSFP cine images using dedicated CMRFT software (Diogenes MRI prototype; Tomtec; Germany). Right ventricular (RV) and left ventricular (LV) longitudinal strain (EllRVand EllLV) and LV longaxis radial strain (ErrLAX) were derived from a 4 chamber view at rest. LV shortaxis circumferential strain (EccSAX) and ErrSAX; LV ejection fraction (EF) and volumes 1 1 were analyzed at rest and during dobutamine stress (10 and 20μg ∙ kg ).∙ min Results:In all volunteers strain parameters could be derived from the SSFP images at rest and stress. EccSAX values showed significantly increased contraction with DSMR (rest: 24.1 ± 6.7; 10μg: 32.7 ± 11.4; 20μg: 39.2 ± 15.2; p < 0.05). ErrSAXincreased significantly with dobutamine (rest: 19.6 ± 14.6; 10μg: 31.8 ± 20.9; 20μg: 42.4 ± 25.5; p < 0.05). In parallel with these changes; EF increased significantly with dobutamine (rest: 56.9 ± 4.4%; 10μg: 70.7 ± 8.1; 20μg: 76.8 ± 4.6; p < 0.05). Observer variability was best for LV circumferential strain (EccSAX) and worst for RV longitudinal strain (EllRV) as determined by 95% confidence intervals of the difference. Conclusions:CMRFT reliably detects quantitative wall motion and strain derived from SSFP cine imaging that corresponds to inotropic stimulation. The current implementation may need improvement to reduce observer induced variance. Within a given CMR lab; this novel technique holds promise of easy and fast quantification of wall mechanics and strain.
* Correspondence: andreas_schuster@gmx.net Contributed equally 1 Kings College London British Heart Foundation (BHF) Centre of Excellence; National Institute of Health Research (NIHR) Biomedical Research Centre at Guys and St. ThomasNHS Foundation Trust; Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre; Division of Imaging Sciences and Biomedical Engineering; The Rayne Institute, St. ThomasHospital, London, UK Full list of author information is available at the end of the article
© 2011 Schuster 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.
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