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Magnetic Resonance Imaging–based Multiparametric Systolic Strain Analysis and Regional Contractile Heterogeneity in Patients With Dilated Cardiomyopathy
- Source :
- The Journal of Heart and Lung Transplantation. 28:388-394
- Publication Year :
- 2009
- Publisher :
- Elsevier BV, 2009.
-
Abstract
- Background Myocardial systolic strain patterns in dilated cardiomyopathy are considered non-homogeneous but have not been investigated with magnetic resonance imaging (MRI)-based multiparametric systolic strain analysis. Left ventricular (LV) 3-dimensional (3D) multiparametric systolic strain analysis is sensitive to regional contractility and is generated from sequential MRI of tissue-tagging gridline-point displacements. Methods Sixty normal human volunteers underwent MRI-based 3D systolic strain analysis to supply normal average and standard deviation values for each of three strain parameters at each of 15,300 individual LV grid-points. Patient-specific multiparametric systolic strain data from each dilated cardiomyopathy patient (n = 10) were then subjected to a point-by-point comparison (n = 15,300 LV points) to the normal strain database for three individual strain components (45,900 database comparisons per patient). The resulting composite multiparametric Z-score values (standard deviation from normal average) were color contour mapped over patient-specific 3D LV geometry to detect the normalized regional contractile patterns associated with dilated cardiomyopathy. Results Average multiparametric strain Z-score values varied significantly according to ventricular level (p = 0.001) and region (p = 0.003). Apical Z-scores were significantly less than those in both the base (p = 0.037) and mid-ventricle (p = 0.002), whereas anterolateral wall Z-scores were less than those in the anteroseptal (p = 0.023) and posteroseptal walls (p = 0.028). Conclusions MRI-based multiparametric systolic strain analysis suggests that myocardial systolic strain in patients with dilated cardiomyopathy has a heterogeneous regional distribution and, on average, falls almost 2 standard deviations from normal.
- Subjects :
- Pulmonary and Respiratory Medicine
Transplantation
medicine.medical_specialty
medicine.diagnostic_test
Heart disease
Strain (chemistry)
business.industry
Dilated cardiomyopathy
Magnetic resonance imaging
medicine.disease
Contractility
Internal medicine
Circulatory system
medicine
Cardiology
Surgery
In patient
Systole
Cardiology and Cardiovascular Medicine
business
Subjects
Details
- ISSN :
- 10532498
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- The Journal of Heart and Lung Transplantation
- Accession number :
- edsair.doi...........48a0e482e9704c8fa6e4b4a7ee3616c8
- Full Text :
- https://doi.org/10.1016/j.healun.2008.12.018