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. 2021 Apr 29;23:48. doi: 10.1186/s12968-021-00736-1

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Receiver-operator curves for noncontrast variables. Plots for combined model with native T1, Ɛ_cc, and ε_ls with modest areas under the curve (AUC) for prediction of presence/absence of LGE for all CMRs (a) and in the subset with normal left ventricular ejection fraction (LVEF) (c). The best performance was for predicting high grade [global severity score (GSS) ≥ 3] vs low grade (GSS ≤ 2) for all CMRs (b)