Abstract

BackgroundCardiovascular magnetic resonance (CMR) strain imaging is an established technique to quantify myocardial deformation. However, to what extent left ventricular (LV) systolic strain, and therefore LV mechanics, reflects classical hemodynamic parameters under various inotropic states is still not completely clear. Therefore, the aim of this study was to investigate the correlation of LV global strain parameters measured via CMR feature tracking (CMR-FT, based on conventional cine balanced steady state free precession (bSSFP) images) with hemodynamic parameters such as cardiac index (CI), cardiac power output (CPO) and end-systolic elastance (Ees) under various inotropic states.Methods Ten anaesthetized, healthy Landrace swine were acutely instrumented closed-chest and transported to the CMR facility for measurements. After baseline measurements, two steps were performed: (1) dobutamine-stress (Dobutamine) and (2) verapamil-induced cardiovascular depression (Verapamil). During each protocol, CMR images were acquired in the short axisand apical 2Ch, 3Ch and 4Ch views. MEDIS software was utilized to analyze global longitudinal (GLS), global circumferential (GCS), and global radial strain (GRS).ResultsDobutamine significantly increased heart rate, CI, CPO and Ees, while Verapamil decreased them. Absolute values of GLS, GCS and GRS accordingly increased during Dobutamine infusion, while GLS and GCS decreased during Verapamil. Linear regression analysis showed a moderate correlation between GLS, GCS and LV hemodynamic parameters, while GRS correlated poorly. Indexing global strain parameters for indirect measures of afterload, such as mean aortic pressure or wall stress, significantly improved these correlations, with GLS indexed for wall stress reflecting LV contractility as the clinically widespread LV ejection fraction.ConclusionGLS and GCS correlate accordingly with LV hemodynamics under various inotropic states in swine. Indexing strain parameters for indirect measures of afterload substantially improves this correlation, with GLS being as good as LV ejection fraction in reflecting LV contractility. CMR-FT-strain imaging may be a quick and promising tool to characterize LV hemodynamics in patients with varying degrees of LV dysfunction.

Highlights

  • Cardiovascular magnetic resonance (CMR) strain imaging is an established technique to quantify myocardial deformation

  • Meridional wall stress was calculated via the following formula [31]: left ventricular (LV) wall stress = 0.334 × LVPsys × Left ventricular end-systolic diameter (LVESD) Posterior wall thickness (PWT) × [1 + PWT /LVID]

  • global longitudinal strain (GLS), global circumferential strain (GCS) and global radial strain (GRS) were indexed to the measured wall stress adapting the formula from the study by Reichek et al [31] as follows: Global Strain × LV wall stress avg(LV wall stress) where Global Strain was the global value of either global longitudinal (GLSw), global circumferential (GCSw) or global radial (GRSw) strain

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Summary

Introduction

Cardiovascular magnetic resonance (CMR) strain imaging is an established technique to quantify myocardial deformation. The aim of this study was to investigate the correlation of LV global strain parameters measured via CMR feature tracking (CMR-FT, based on conventional cine balanced steady state free precession (bSSFP) images) with hemodynamic parameters such as cardiac index (CI), cardiac power output (CPO) and end-systolic elastance (Ees) under various inotropic states. Cardiovascular magnetic resonance (CMR) feature tracking (FT) strain analysis was shown to be accurate in the detection of myocardial dysfunction as well as useful as a predictor of major adverse cardiac events, with the advantage of utilizing conventional balanced steady-state free precession (bSSFP) cine sequences [15,16,17,18,19]. The aim of this study was to validate the correlation of CMR LV strain parameters against hemodynamic parameters such as CI, CPO and the Ees mentioned above, under various inotropic states in swine

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