Donato Mele1, Andrea Fiorencis2, Elisabetta Chiodi3, Chiara Gardini2, Giorgio Benea3, Roberto Ferrari4. 1. Cardiology Unit, Azienda Ospedaliero-Universitaria, Via Aldo Moro 8, Cona, 44124 Ferrara, Italy donatomele@libero.it. 2. Cardiology Unit, Azienda Ospedaliero-Universitaria, Via Aldo Moro 8, Cona, 44124 Ferrara, Italy. 3. Radiology Unit, Azienda Ospedaliero-Universitaria, Ferrara, Italy. 4. Department of Cardiology and LTTA Centre, University Hospital of Ferrara and Maria Cecilia Hospital, GVM Care & Research, E.S: Health Science Foundation, Cotignola, Italy.
Abstract
AIMS: Assessment of left ventricular (LV) transmural scar tissue in clinical practice is still challenging because magnetic resonance imaging (MRI) and nuclear techniques have limited access and cannot be performed extensively. The aim of this study was to verify whether parametric two-dimensional speckle-tracking echocardiography (2D-STE) can more accurately localize and quantify LV transmural scar tissue in patients with healed myocardial infarct (MI) in comparison with MRI. METHODS AND RESULTS: Thirty-one consecutive patients (age 56 ± 32 years, 29 males) with MRI and echocardiography performed after at least 6 months from an acute MI were studied. Apical LV longitudinal strain images by 2D-STE and short-axis contrast images by MRI were analysed to generate parametric bull's eye maps showing the distribution of the LV transmural scar tissue, whose extension was measured by planimetry and expressed as a percentage of the total myocardial area. Twelve patients also had early 2D-STE and MRI examinations after the acute MI. 2D-STE accurately quantified the extent of transmural scar tissue vs. MRI (r = 0.86; limits of agreement 10.0 and -9.5%). Concordance between 2D-STE and MRI for transmural scar tissue localization was high, with only 3.6% of discordant segments using an LV 16-segment model. Lin coefficients, intra-class correlation coefficients, and Bland-Altman analysis showed very good intra- and inter-observer reproducibility for 2D-STE evaluations. The transmural scar tissue area at 6 months could be predicted by early 2D-STE evaluation. CONCLUSION: 2D-STE polar plots of LV longitudinal strain characterize transmural scar tissue accurately compared with MRI and may facilitate its assessment in clinical practice. Published on behalf of the European Society of Cardiology. All rights reserved.
AIMS: Assessment of left ventricular (LV) transmural scar tissue in clinical practice is still challenging because magnetic resonance imaging (MRI) and nuclear techniques have limited access and cannot be performed extensively. The aim of this study was to verify whether parametric two-dimensional speckle-tracking echocardiography (2D-STE) can more accurately localize and quantify LV transmural scar tissue in patients with healed myocardial infarct (MI) in comparison with MRI. METHODS AND RESULTS: Thirty-one consecutive patients (age 56 ± 32 years, 29 males) with MRI and echocardiography performed after at least 6 months from an acute MI were studied. Apical LV longitudinal strain images by 2D-STE and short-axis contrast images by MRI were analysed to generate parametric bull's eye maps showing the distribution of the LV transmural scar tissue, whose extension was measured by planimetry and expressed as a percentage of the total myocardial area. Twelve patients also had early 2D-STE and MRI examinations after the acute MI. 2D-STE accurately quantified the extent of transmural scar tissue vs. MRI (r = 0.86; limits of agreement 10.0 and -9.5%). Concordance between 2D-STE and MRI for transmural scar tissue localization was high, with only 3.6% of discordant segments using an LV 16-segment model. Lin coefficients, intra-class correlation coefficients, and Bland-Altman analysis showed very good intra- and inter-observer reproducibility for 2D-STE evaluations. The transmural scar tissue area at 6 months could be predicted by early 2D-STE evaluation. CONCLUSION: 2D-STE polar plots of LV longitudinal strain characterize transmural scar tissue accurately compared with MRI and may facilitate its assessment in clinical practice. Published on behalf of the European Society of Cardiology. All rights reserved.
Authors: Steven E Williams; Catalina Tobon-Gomez; Maria A Zuluaga; Henry Chubb; Constantine Butakoff; Rashed Karim; Elena Ahmed; Oscar Camara; Kawal S Rhode Journal: J Interv Card Electrophysiol Date: 2017-09-07 Impact factor: 1.900
Authors: Maria Concetta Pastore; Giulia Elena Mandoli; Francesco Contorni; Luna Cavigli; Marta Focardi; Flavio D'Ascenzi; Giuseppe Patti; Sergio Mondillo; Matteo Cameli Journal: Biomed Res Int Date: 2021-02-02 Impact factor: 3.411