Myocardial edema in acute myocarditis: relationship of T2 relaxometry and late enhancement burden by using dual-contrast turbo spin-echo MRI

The International Journal of Cardiovascular Imaging
Agnes MayrM F Schocke

Abstract

To quantify myocardial edema by using a T2 relaxometry approach with a dual-contrast turbo spin-echo (dcTSE) sequence in patients with acute myocarditis regarding focal late gadolinium enhancement (LGE) burden. CMR T2 relaxometry was performed in 39 patients (age 41 ± 19 years; 36% women) with LGE in a typical myocarditis pattern and in ten healthy volunteers (age 46 ± 12; 60% woman). dcTSE sequence (echo time 29 and 75 ms, respectively) was used for T2 mapping, analysis were performed on the basis of region of interest (ROI). Myocardial T2 relaxation times (T2 RT) in patients-ROI with focal LGE were significantly (p < 0.001) higher than T2 RT in patients-ROI without apparent LGE pattern (65 ms (IQR 36-95) vs. 60 ms (IQR 26-88), respectively). T2 RT in healthy volunteers [55 ms (IQR 35-71)] were significantly lower than in patients ROI with or without focal LGE-pattern (p < 0.001, respectively). T2 RT assessed by dcTSE are significantly higher in patients segments with and without focal LGE compared to normal controls, supporting a global myocardial inflammatory process in acute myocarditis. Furthermore, this quantitative T2-mapping approach highlights the potential to identify patients with diffuse myocarditis.

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Citations

Feb 27, 2018·Expert Review of Cardiovascular Therapy·Kihei YoneyamaYoshihiro J Akashi
Apr 14, 2018·The International Journal of Cardiovascular Imaging·Johan H C ReiberNico R L Van de Veire
May 13, 2020·Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance·G J H SnelN H J Prakken
Feb 17, 2019·The International Journal of Cardiovascular Imaging·Hans-Josef FeistritzerHolger Thiele
Nov 11, 2020·Current Treatment Options in Cardiovascular Medicine·Benjamin Hurwitz, Omar Issa

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Methods Mentioned

BETA
biopsy

Software Mentioned

ARGUS
R
R : A Language and Environment for Statistical Computing

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