Although, cardiac magnetic resonance imaging (CMR) is a gold standard for risk stratification of hypertrophic cardiomyopathy (HCM), is limited in some situations. We sought to evaluate the predictive power of quantitative electrocardiography in assessing hypertrophy pattern and fibrosis in HCM. Eighty-eight patients with HCM were studied. Voltage of R–S–T waves, number of fragmented QRS (fQRS) complexes, and T wave morphology were measured by 12-lead electrocardiography. Sixteen segmental thickness, late gadolinium enhancement (LGE), native T1, extracellular volume fraction (ECV), and T2, left ventricular (LV) mass and %LGE were measured by CMR. Patterns of LV hypertrophy were classified as pure apical, mixed, or asymmetrical septal hypertrophy. Positive and negative predictive values of biphasic T wave for pure apical type were 70.4 and 63.9%, and the predictive values of precordial negative T wave sums > 12.5 mm were 69.2 and 79.6%. Precordial S waves, especially Cornell voltage index, were significantly correlated to LV mass index and maximal thickness (p <0.001). The number of fQRS leads was significantly correlated to %LGE, average ECV, and T2 (all p <0.001). More than one lead with fQRS could predict >5% of LGE mass with 58% sensitivity and 63% specificity (p = 0.049, area under the curve = 0.627). However, degree of correlation between maximal thickness and precordial S was poor in cases with fQRS more two leads. T wave morphology and precordial S helps discriminate hypertrophy pattern and maximal hypertrophy, however, in cases with more than two leads of concomitant fQRS, CMR defines fibrosis amount and hypertrophy more accurately.
Bibliographical noteFunding Information:
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A1A2055872). All authors declare that there are no conflicts of interest.
Acknowledgements This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A1A2055872).
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All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging
- Cardiology and Cardiovascular Medicine