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A head-to-head comparison of fast-SENC and feature tracking to LV long axis strain for assessment of myocardial deformation in chest pain patients

Myocardial strain imaging has gained importance in cardiac magnetic resonance (CMR) imaging in recent years as an even more sensitive marker of early left ventricular dysfunction than left-ventricular ejection fraction (LVEF). fSENC (fast strain encoded imaging) and FT (feature tracking) both allow...

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Hauptverfasser: Siry, Deborah (VerfasserIn) , Riffel, Johannes (VerfasserIn) , Salatzki, Janek (VerfasserIn) , André, Florian (VerfasserIn) , Weberling, Lukas D. (VerfasserIn) , Ochs, Marco (VerfasserIn) , Atia, Noura Abdelmonem Nooman (VerfasserIn) , Hillier, Elizabeth (VerfasserIn) , Albert, David (VerfasserIn) , Katus, Hugo (VerfasserIn) , Giannitsis, Evangelos (VerfasserIn) , Frey, Norbert (VerfasserIn) , Friedrich, Matthias (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 05 September 2022
In: BMC medical imaging
Year: 2022, Jahrgang: 22, Pages: 1-15
ISSN:1471-2342
DOI:10.1186/s12880-022-00886-3
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12880-022-00886-3
Volltext
Verfasserangaben:Deborah Siry, Johannes Riffel, Janek Salatzki, Florian André, Lukas Damian Weberling, Marco Ochs, Noura A. Atia, Elizabeth Hillier, David Albert, Hugo A. Katus, Evangelos Giannitsis, Norbert Frey and Matthias G. Friedrich
Beschreibung
Zusammenfassung:Myocardial strain imaging has gained importance in cardiac magnetic resonance (CMR) imaging in recent years as an even more sensitive marker of early left ventricular dysfunction than left-ventricular ejection fraction (LVEF). fSENC (fast strain encoded imaging) and FT (feature tracking) both allow for reproducible assessment of myocardial strain. However, left-ventricular long axis strain (LVLAS) might enable an equally sensitive measurement of myocardial deformation as global longitudinal or circumferential strain in a more rapid and simple fashion.
Beschreibung:Gesehen am 28.10.2022
Beschreibung:Online Resource
ISSN:1471-2342
DOI:10.1186/s12880-022-00886-3

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