PMID- 23148082 OWN - NLM STAT- MEDLINE DCOM- 20140214 LR - 20191210 IS - 2047-2412 (Electronic) IS - 2047-2404 (Linking) VI - 14 IP - 6 DP - 2013 Jun TI - Layer-specific analysis of myocardial deformation for assessment of infarct transmurality: comparison of strain-encoded cardiovascular magnetic resonance with 2D speckle tracking echocardiography. PG - 570-8 LID - 10.1093/ehjci/jes229 [doi] AB - AIMS: Separate analysis of endocardial and epicardial myocardial layer deformation has become possible using strain-encoded cardiovascular magnetic resonance (SENC) and 2D-dimensional speckle tracking echocardiography (Echo). This study evaluated and compared both modalities for the assessment of infarct transmurality as defined by late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR). METHODS AND RESULTS: In 29 patients (age 62.4 +/- 11.7 years, 23 male) with ischaemic cardiomyopathy, SENC using 1.5 T CMR and Echo were performed. Peak circumferential systolic strain of the endocardial and the epicardial layer of 304 myocardial segments was assessed by SENC and by Echo. The segmental transmurality of myocardial infarction was determined as relative amount of LGE (0%: no infarction; 1-50%: non-transmural infarction; 51-100%: transmural infarction). Endocardial and epicardial strain defined by SENC and by Echo differed significantly between segments of different infarct transmurality determined by CMR. Endocardial layer circumferential strain analysis by Echo and by SENC allowed distinction of segments with non-transmural infarction from non-infarcted segments with similar accuracy [area under the curve (AUC) 0.699 vs. 0.649, respectively, P = 0.239]. Epicardial layer circumferential strain analysis by Echo and by SENC allowed distinction of transmural from non-transmural myocardial infarction defined by LGE CMR with similar accuracy (AUC 0.721 vs. 0.664, respectively, P = 0.401). Endocardial strain by SENC correlated moderately with endocardial strain by Echo (r = 0.50; standard error of estimate = 5.2%). CONCLUSION: Layer-specific analysis of myocardial deformation by Echo and by SENC allows discrimination between different transmurality categories of myocardial infarction with similar accuracy. However, accuracy of both methods is non-optimal, indicating that further tools for improvement should be evaluated in the future. FAU - Altiok, Ertunc AU - Altiok E AD - Department of Cardiology, Pneumology and Angiology, University Hospital RWTH Aachen, Aachen, Germany. FAU - Neizel, Mirja AU - Neizel M FAU - Tiemann, Sonja AU - Tiemann S FAU - Krass, Vitali AU - Krass V FAU - Becker, Michael AU - Becker M FAU - Zwicker, Christian AU - Zwicker C FAU - Koos, Ralf AU - Koos R FAU - Kelm, Malte AU - Kelm M FAU - Kraemer, Nils AU - Kraemer N FAU - Schoth, Felix AU - Schoth F FAU - Marx, Nikolaus AU - Marx N FAU - Hoffmann, Rainer AU - Hoffmann R LA - eng PT - Comparative Study PT - Evaluation Study PT - Journal Article DEP - 20121112 PL - England TA - Eur Heart J Cardiovasc Imaging JT - European heart journal. Cardiovascular Imaging JID - 101573788 RN - AU0V1LM3JT (Gadolinium) SB - IM MH - Aged MH - Analysis of Variance MH - Cohort Studies MH - Echocardiography/*methods MH - Echocardiography, Doppler, Color/methods MH - Endocardium/diagnostic imaging/pathology MH - Female MH - Gadolinium MH - Humans MH - *Image Interpretation, Computer-Assisted MH - Magnetic Resonance Imaging, Cine/*methods MH - Male MH - Middle Aged MH - Myocardial Infarction/*diagnostic imaging/*pathology MH - Myocardial Ischemia/diagnostic imaging/pathology MH - Observer Variation MH - Pericardium/diagnostic imaging/pathology MH - ROC Curve MH - Sensitivity and Specificity MH - Severity of Illness Index OTO - NOTNLM OT - Cardiovascular magnetic resonance OT - Echocardiography OT - Myocardial contraction EDAT- 2012/11/14 06:00 MHDA- 2014/02/15 06:00 CRDT- 2012/11/14 06:00 PHST- 2012/11/14 06:00 [entrez] PHST- 2012/11/14 06:00 [pubmed] PHST- 2014/02/15 06:00 [medline] AID - jes229 [pii] AID - 10.1093/ehjci/jes229 [doi] PST - ppublish SO - Eur Heart J Cardiovasc Imaging. 2013 Jun;14(6):570-8. doi: 10.1093/ehjci/jes229. Epub 2012 Nov 12.