Literature DB >> 17309530

The endocardial extent of reperfused first-time myocardial infarction is more predictive of pathologic Q waves than is infarct transmurality: a magnetic resonance imaging study.

Henrik Engblom1, Minna B Carlsson, Erik Hedström, Einar Heiberg, Martin Ugander, Galen S Wagner, Håkan Arheden.   

Abstract

BACKGROUND: Historically, Q-wave myocardial infarction (MI) has been equated with transmural MI. This association have, however, recently been rejected. The endocardial extent of MI is another potential determinant of pathological Q waves, since the first part of the QRS complex where the Q wave appears reflects depolarization of subendocardial myocardium. Therefore, the aim of the present study was to test the hypothesis that endocardial extent of MI is more predictive of pathological Q waves than is MI transmurality and to investigate the relationship between QRS scoring of the ECG and MI characteristics.
METHODS: Twenty-nine patients with reperfused first-time MI were prospectively enrolled. One week after admission, delayed contrast-enhanced magnetic resonance imaging (DE-MRI) was performed and 12-lead ECG was recorded. Size, transmurality and endocardial extent of MI were assessed by DE-MRI. Q waves were identified with Minnesota coding and electrocardiographic MI size was estimated by QRS scoring of the ECG.
RESULTS: There was a significant difference between patients with and without Q waves with regard to MI size (P = 0.03) and endocardial extent of MI (P = 0.01), but not to mean and maximum MI transmurality (P = 0.09 and P = 0.14). Endocardial extent was the only independent predictor of pathological Q waves. Endocardial extent of MI was most strongly correlated to QRS score (r = 0.86, P<0.001) of the MI variables tested.
CONCLUSION: The endocardial extent of reperfused first-time acute MI is more predictive of pathological Q waves than is MI transmurality.

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Year:  2007        PMID: 17309530     DOI: 10.1111/j.1475-097X.2007.00723.x

Source DB:  PubMed          Journal:  Clin Physiol Funct Imaging        ISSN: 1475-0961            Impact factor:   2.273


  7 in total

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Journal:  Ann Noninvasive Electrocardiol       Date:  2010-07       Impact factor: 1.468

2.  Predicting recovery of myocardial function by electrocardiography after acute infarction.

Authors:  Minna M Kylmälä; Teijo Konttila; Paula Vesterinen; Mats Lindholm; Heikki Väänänen; Matti Stenroos; Markku S Nieminen; Helena Hänninen; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-11-22       Impact factor: 1.468

3.  Assessment of myocardial infarct size with body surface potential mapping: validation against contrast-enhanced cardiac magnetic resonance imaging.

Authors:  Minna M Kylmälä; Teijo Konttila; Paula Vesterinen; Sari M Kivistö; Kirsi Lauerma; Mats Lindholm; Heikki Väänänen; Matti Stenroos; Markku S Nieminen; Helena Hänninen; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-09-18       Impact factor: 1.468

4.  Validation of black blood late gadolinium enhancement (LGE) for evaluation of myocardial infarction in patients with or without pathological Q-wave on electrocardiogram (ECG).

Authors:  Linsheng Song; Xiaohai Ma; Xinxiang Zhao; Lei Zhao; Mark DeLano; Yang Fan; Bin Wu; Aijia Lu; Jie Tian; Liping He
Journal:  Cardiovasc Diagn Ther       Date:  2020-04

5.  Prognostic value of electrocardiographic detection of unrecognized myocardial infarction in persons with stable coronary artery disease: data from the Heart and Soul Study.

Authors:  Devin W Kehl; Ramin Farzaneh-Far; Beeya Na; Mary A Whooley
Journal:  Clin Res Cardiol       Date:  2010-11-20       Impact factor: 5.460

6.  Anterior STEMI associated with decreased strain in remote cardiac myocardium.

Authors:  Hannah Sjögren; Ulrika Pahlm; Henrik Engblom; David Erlinge; Einar Heiberg; Håkan Arheden; Marcus Carlsson; Ellen Ostenfeld
Journal:  Int J Cardiovasc Imaging       Date:  2021-09-05       Impact factor: 2.357

7.  Design and validation of Segment--freely available software for cardiovascular image analysis.

Authors:  Einar Heiberg; Jane Sjögren; Martin Ugander; Marcus Carlsson; Henrik Engblom; Håkan Arheden
Journal:  BMC Med Imaging       Date:  2010-01-11       Impact factor: 1.930

  7 in total

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