Keywords: Radiomics, Cardiomyopathy, heart, cardiovascular, LGE, scar, Myocardial Infarction
There remains no standard method for quantification of myocardial infarction (MI) from LGE images. Current methods lack reproducibility as they rely on manual or threshold-based scar segmentation. Notably, these methods only quantify scar volume/percentage but ignore the impact of myocardial LGE distribution pattern. Here, we propose a novel threshold-free concept that comprehensively quantifies scar burden in terms of both scar extent and the unique myocardial LGE distribution pattern: LGE Scar Burden Signatures. We demonstrated our technique’s strong correlation to scar extent, its independent association with serum biomarker of myocardial injury (Troponin), and reduced ejection fraction, independent of Scar percentage.
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