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Abstract #0778

n-Standard deviations from remote is unreliable for scar quantification – evaluation using multicenter multivendor clinical trial data

Einar Heiberg1,2, Henrik Engblom1, Marcus Carlsson1, David Erlinge3, Dan Atar4, Anthony H Aletras1,5, and Hakan Arheden1
1Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, Lund, Sweden, 2Lund University, Wallenberg Center for Molecular Medicine, Lund, Sweden, 3Lund University, Department of Clinical Sciences Lund, Cardiology, Skåne University Hospital, Lund, Sweden, Lund, Sweden, 4Department of Cardiology, Oslo University Hospital Ullevål, and Instititute of Clinical Sciences, University of Oslo, Oslo, Norway, 5School of Medicine, Aristotele University of Thessaloniki, Laboratory of Computing, Medical Informatics and Biomedical – Imaging Technologies, Thessaloniki, Greece

The purpose of this study is to systematically evaluate sources to variability in the n-SD from remote method for infarct quantification. Remote ROI position, size, and number of standard deviations all to a large extent affected infarct size. The main driver of infarct variability in the n-SD method are the differences in myocardial SD level, that varies between subjects, site and vendors. Based on the source of variability in infarct size we conclude the n-SD method lack accuracy for infarct quantification, especially in multi-center, multi-vendor setting.

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