Abstract
Background
Diffuse myocardial fibrosis may provide substrate for the initiation and maintenance of ventricular arrhythmia. T1 mapping overcomes the limitations of the conventional delayed contrast-enhanced cardiac magnetic resonance imaging (CE-CMR) technique by allowing quantification of diffuse fibrosis. We assessed whether myocardial tissue characterization using T1 mapping would predict ventricular arrhythmia in ischemic and non-ischemic cardiomyopathy.
Methods
A prospective longitudinal study of consecutive patients receiving implantable cardioverter defibrillators (ICD) in a tertiary cardiac center. Participants underwent CMR myocardial tissue characterization using T1 mapping and conventional CE-CMR scar assessment prior to device implantation. The primary endpoint was appropriate ICD therapy or documented sustained ventricular arrhythmia.
Results
One hundred and thirty patients (71 ischemic; 59 non-ischemic) were included with a mean follow-up period of 430±185 days (median: 425 days; IQR: 293 days). At follow-up, 23 (18%) patients experienced the primary endpoint. In multivariable-adjusted analyses, the following factors showed a significant association with the primary endpoint: secondary prevention (hazard ratio [HR] 1.70, confidence interval [CI] 1.01-1.91), non-contrast T1_Native for every 10ms increment in value (HR 1.10, CI 1.04-1.16; 90ms difference between the endpoint positive and negative groups), and grayzone_2sd-3sd for every 1% LV increment in value (HR 1.36, CI 1.15-1.61; 4% difference between the endpoint positive and negative groups). Other CE-CMR indices including scar_2sd, scar_FWHM and grayzone_2sd-FWHM were also significantly, albeit less strongly, associated with the primary endpoint as compared to grayzone_2sd-3sd.
Conclusions
Quantitative myocardial tissue assessment using T1 mapping is an independent predictor of ventricular arrhythmia in both ischemic and non-ischemic cardiomyopathies.
Diffuse myocardial fibrosis may provide substrate for the initiation and maintenance of ventricular arrhythmia. T1 mapping overcomes the limitations of the conventional delayed contrast-enhanced cardiac magnetic resonance imaging (CE-CMR) technique by allowing quantification of diffuse fibrosis. We assessed whether myocardial tissue characterization using T1 mapping would predict ventricular arrhythmia in ischemic and non-ischemic cardiomyopathy.
Methods
A prospective longitudinal study of consecutive patients receiving implantable cardioverter defibrillators (ICD) in a tertiary cardiac center. Participants underwent CMR myocardial tissue characterization using T1 mapping and conventional CE-CMR scar assessment prior to device implantation. The primary endpoint was appropriate ICD therapy or documented sustained ventricular arrhythmia.
Results
One hundred and thirty patients (71 ischemic; 59 non-ischemic) were included with a mean follow-up period of 430±185 days (median: 425 days; IQR: 293 days). At follow-up, 23 (18%) patients experienced the primary endpoint. In multivariable-adjusted analyses, the following factors showed a significant association with the primary endpoint: secondary prevention (hazard ratio [HR] 1.70, confidence interval [CI] 1.01-1.91), non-contrast T1_Native for every 10ms increment in value (HR 1.10, CI 1.04-1.16; 90ms difference between the endpoint positive and negative groups), and grayzone_2sd-3sd for every 1% LV increment in value (HR 1.36, CI 1.15-1.61; 4% difference between the endpoint positive and negative groups). Other CE-CMR indices including scar_2sd, scar_FWHM and grayzone_2sd-FWHM were also significantly, albeit less strongly, associated with the primary endpoint as compared to grayzone_2sd-3sd.
Conclusions
Quantitative myocardial tissue assessment using T1 mapping is an independent predictor of ventricular arrhythmia in both ischemic and non-ischemic cardiomyopathies.
Original language | English |
---|---|
Pages (from-to) | 792-801 |
Number of pages | 10 |
Journal | Heart rhythm : the official journal of the Heart Rhythm Society |
Volume | 12 |
Issue number | 4 |
Early online date | 19 Dec 2014 |
DOIs | |
Publication status | Published - 1 Apr 2015 |