Background
Late gadolinium enhancement (LGE) border zone on cardiac-MRI (CMR) has been proposed as an independent predictor of ventricular arrhythmias. The purpose was to determine if size and heterogeneity of LGE predict appropriate implantable cardioverter defibrillator (ICD) therapy in ischemic cardiomyopathy (ICM) and non-ischemic cardiomyopathy (NICM) patients and evaluate four LGE border zone algorithms.
Methods and Results
ICM and NICM patients who underwent LGE-CMR prior to ICD implantation were retrospectively included. Two semi-automatic algorithms, EWA (Expectation Maximization, weighted intensity, a priori information) and a weighted border zone algorithm (WBZ) were compared to a modified full-width half-maximum (mFWHM) and a 2–3SD threshold-based algorithm (2–3SD). Hazard ratios (HR) were calculated per 1% increase in LGE.
A total of 74 ICM and 34 NICM were followed for 63 months [1–140] and 52 months [0–133] respectively. ICM patients had 27 appropriate ICD-events and NICM patients had seven ICD-events. In ICM patients with primary prophylactic ICD, LGE border zone predicted ICD-therapy in univariable and multivariable analysis measured by the EWA, WBZ and mFWHM algorithms (HR 1.23, 1.22 and 1.05 respectively, P<0.05, negative predictive value 92%). For NICM, total LGE by all four methods was the strongest predictor (HR 1.03–1.04, P<0.05), though the number of events was small.
Conclusions
Appropriate ICD-therapy can be predicted in ICM patients with primary prevention ICD by quantifying the LGE border zone. In NICM patients, total LGE but not LGE border zone had predictive value for ICD therapy. However, the algorithms used affects the predictive value of these measures.