Abstract #0778

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

Einar Heiberg^1,2, Henrik Engblom¹, Marcus Carlsson¹, David Erlinge³, Dan Atar⁴, Anthony H Aletras^1,5, 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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