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Which parameters on magnetic resonance imaging determine Q waves on the electrocardiogram?
Theodorus A M Kaandorp1, Jeroen J Bax, Hildo J Lamb
1Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
The American Journal of Cardiology
|April 12, 2005
Summary
Q waves on electrocardiograms (ECGs) correlate with left ventricular scar tissue. Magnetic resonance imaging (MRI) shows quantified scar percentage is the best predictor of Q waves, aiding infarction assessment.
Area of Science:
- Cardiology
- Medical Imaging
- Pathophysiology
Background:
- Q-wave myocardial infarctions (MIs) often show nontransmural scarring, while non-Q-wave MIs can exhibit transmural scars.
- The underlying pathophysiology of Q waves in myocardial infarction remains incompletely understood.
- Magnetic resonance imaging (MRI) is crucial for assessing cardiac function, viability, and scar tissue post-MI.
Purpose of the Study:
- To investigate the relationship between electrocardiogram (ECG) Q waves and cardiac scar characteristics determined by MRI.
- To identify MRI-derived parameters that best predict the presence of Q waves in patients with coronary artery disease and prior MI.
Main Methods:
- Sixty-nine patients with coronary artery disease and history of MI underwent a comprehensive MRI protocol.
- The protocol included resting MRI, dobutamine stress MRI, and contrast-enhanced MRI to assess function, viability, and scar.
- Key parameters analyzed were left ventricular ejection fraction, volumes, wall thickness, contractile reserve, scar transmurality, spatial extent, total scar score, and quantified scar percentage.
Main Results:
- Q waves were present in 57% of the patients.
- Univariate analysis revealed transmurality, spatial extent, total scar score, and quantified scar percentage as predictors of Q waves.
- Multivariate analysis identified quantified percent left ventricular scar tissue as the strongest predictor (90% sensitivity/specificity at 17% cut-off).
Conclusions:
- Quantified percent scar tissue on contrast-enhanced MRI is the most accurate predictor of Q waves on ECG.
- Spatial extent of infarction emerged as the next best predictor when scar percentage was excluded.
- These findings enhance the understanding of the pathophysiologic basis of Q waves in myocardial infarction using advanced imaging techniques.