Prediction of nonviable myocardium by ECG Q-Wave parameters: A 3.0 T cardiovascular magnetic resonance study

Indian Heart J. 2022 Mar-Apr;74(2):105-109. doi: 10.1016/j.ihj.2022.02.001. Epub 2022 Feb 9.

Abstract

Introduction: The presence of a Q-wave on a 12-lead electrocardiogram (ECG) has been considered a marker of a large myocardial infarction (MI). However, the correlation between the presence of Q-waves and nonviable myocardium is still controversial. The aims of this study were to 1) test QWA, a novel ECG approach, to predict transmural extent and scar volume using a 3.0 Tesla scanner, and 2) assess the accuracy of QWA and transmural extent.

Methods: Consecutive patients with a history of coronary artery disease who came for myocardial viability assessment by CMR were retrospectively enrolled. Q-wave measurements parameters including duration and maximal amplitude were performed from each surface lead. A 3.0 Tesla CMR was performed to assess LGE and viability.

Results: Total of 248 patients were enrolled in the study (with presence (n = 76) and absence of pathologic Q-wave (n = 172)). Overall prevalence of pathologic Q-waves was 27.2% (for LAD infarction patients), 20.0 % (for LCX infarction patients), and 16.8% (for RCA infarction patients). Q-wave area demonstrated high performance for predicting the presence of a nonviable segment in LAD territory (AUC 0.85, 0.77-0.92) and a lower, but still significant performance in LCX (0.63, 0.51-0.74) and RCA territory (0.66, 0.55-0.77). Q-wave area greater than 6 ms mV demonstrated high performance in predicting the presence of myocardium scar larger than 10% (AUC 0.82, 0.76-0.89).

Conclusion: Q-wave area, a novel Q-wave parameter, can predict non-viable myocardial territories and the presence of a significant myocardial scar extension.

Keywords: Cardiac MRI; Q-wave; Scar; Viability.

MeSH terms

  • Cicatrix* / diagnosis
  • Cicatrix* / pathology
  • Electrocardiography
  • Humans
  • Magnetic Resonance Spectroscopy
  • Myocardial Infarction*
  • Myocardium / pathology
  • Retrospective Studies