BACKGROUND: The study aimed to evaluate whether layer-specific myocardial deformation imaging performed by strain-encoded imaging (SENC) allows quantification of regional left ventricular function and is related to scar transmurality defined by contrast-enhanced magnetic resonance imaging (ceMRI) in patients with chronic coronary artery disease (CAD). METHODS: 50 patients (mean age 62 ± 10 years) with CAD underwent ceMRI. Regional myocardial function was evaluated semi-quantitatively from steady-state free-precession cine sequences. Layer-specific peak circumferential strain was measured from long-axis views and peak longitudinal strain was evaluated from short-axis views in a 16-segment model. The extent of myocardial infarction was determined semiautomatically for each segment as relative amount of hyperenhancement by ceMRI. Wall motion and the degree of hyperenhancement were related to layer-specific myocardial strain. RESULTS: A total of 589 of 600 segments (98%) were analysed. Endocardial and epicardial circumferential as well as longitudinal strain showed significant differences between visually defined segmental function states and differed also significantly between the degree of infarct transmurality (all p<0.001). A cutoff peak circumferential endocardial strain value of -15% differentiated nontransmural from transmural infarcted myocardium with a sensitivity of 100% and a specificity of 86% (area under the curve (AUC) 0.94). Distinction of nontransmural infarcted myocardium from transmural infarcted myocardium was done more accurately using circumferential endocardial strain compared to longitudinal endocardial strain (AUC 0.94 vs. AUC 0.76, p=0.003). CONCLUSIONS: Quantitative analysis of segmental deformation by layer-specific SENC allows accurate discrimination between different transmurality states of myocardial infarction in patients with chronic CAD. Circumferential endocardial strain showed the best distinction between the different degrees of infarct transmurality.
BACKGROUND: The study aimed to evaluate whether layer-specific myocardial deformation imaging performed by strain-encoded imaging (SENC) allows quantification of regional left ventricular function and is related to scar transmurality defined by contrast-enhanced magnetic resonance imaging (ceMRI) in patients with chronic coronary artery disease (CAD). METHODS: 50 patients (mean age 62 ± 10 years) with CAD underwent ceMRI. Regional myocardial function was evaluated semi-quantitatively from steady-state free-precession cine sequences. Layer-specific peak circumferential strain was measured from long-axis views and peak longitudinal strain was evaluated from short-axis views in a 16-segment model. The extent of myocardial infarction was determined semiautomatically for each segment as relative amount of hyperenhancement by ceMRI. Wall motion and the degree of hyperenhancement were related to layer-specific myocardial strain. RESULTS: A total of 589 of 600 segments (98%) were analysed. Endocardial and epicardial circumferential as well as longitudinal strain showed significant differences between visually defined segmental function states and differed also significantly between the degree of infarct transmurality (all p<0.001). A cutoff peak circumferential endocardial strain value of -15% differentiated nontransmural from transmural infarcted myocardium with a sensitivity of 100% and a specificity of 86% (area under the curve (AUC) 0.94). Distinction of nontransmural infarcted myocardium from transmural infarcted myocardium was done more accurately using circumferential endocardial strain compared to longitudinal endocardial strain (AUC 0.94 vs. AUC 0.76, p=0.003). CONCLUSIONS: Quantitative analysis of segmental deformation by layer-specific SENC allows accurate discrimination between different transmurality states of myocardial infarction in patients with chronic CAD. Circumferential endocardial strain showed the best distinction between the different degrees of infarct transmurality.
Authors: El-Sayed H Ibrahim; Luba Frank; Dhiraj Baruah; V Emre Arpinar; Andrew S Nencka; Kevin M Koch; L Tugan Muftuler; Orhan Unal; Jadranka Stojanovska; Jason C Rubenstein; Sherry-Ann Brown; John Charlson; Elizabeth M Gore; Carmen Bergom Journal: Int J Biomed Imaging Date: 2021-05-15
Authors: Grigorios Korosoglou; Sorin Giusca; Nina P Hofmann; Amit R Patel; Tomas Lapinskas; Burkert Pieske; Henning Steen; Hugo A Katus; Sebastian Kelle Journal: ESC Heart Fail Date: 2019-04-25
Authors: Doyin S Mansell; Evelyn G Frank; Nathaniel S Kelly; Bruno Agostinho-Hernandez; James Fletcher; Vito D Bruno; Eva Sammut; Amedeo Chiribiri; Thomas Johnson; Raimondo Ascione; Jonathan W Bartlett; Harinderjit S Gill; Katharine H Fraser; Andrew N Cookson Journal: PLoS One Date: 2020-12-15 Impact factor: 3.240
Authors: Henning Steen; Sorin Giusca; Moritz Montenbruck; Amit R Patel; Burkert Pieske; Andre Florian; Jennifer Erley; Sebastian Kelle; Grigorios Korosoglou Journal: J Cardiovasc Magn Reson Date: 2021-04-05 Impact factor: 5.364
Authors: Sorin Giusca; Grigorios Korosoglou; Moritz Montenbruck; Blaž Geršak; Arne Kristian Schwarz; Sebastian Esch; Sebastian Kelle; Pia Wülfing; Susan Dent; Daniel Lenihan; Henning Steen Journal: Circ Cardiovasc Imaging Date: 2021-06-15 Impact factor: 7.792