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Feasibility of fast cardiovascular magnetic resonance strain imaging in patients presenting with acute chest pain

Authors :
Evangelos Giannitsis
J Salatzki
Hugo A. Katus
Marco Ochs
Florian Andre
Deborah Siry
Matthias G Friedrich
Johannes Riffel
Lukas D. Weberling
Source :
PLoS ONE, PLoS ONE, Vol 16, Iss 5, p e0251040 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

Background Cardiovascular magnetic resonance (CMR) is the current reference standard for the quantitative assessment of ventricular function. Fast Strain-ENCoded (fSENC)-CMR imaging allows for the assessment of myocardial deformation within a single heartbeat. The aim of this pilot study was to identify obstructive coronary artery disease (oCAD) with fSENC-CMR in patients presenting with new onset of chest pain. Methods and results In 108 patients presenting with acute chest pain, we performed fSENC-CMR after initial clinical assessment in the emergency department. The final clinical diagnosis, for which cardiology-trained physicians used clinical information, serial high-sensitive Troponin T (hscTnT) values and—if necessary—further diagnostic tests, served as the standard of truth. oCAD was defined as flow-limiting CAD as confirmed by coronary angiography with typical angina or hscTnT dynamics. Diagnoses were divided into three groups: 0: non-cardiac, 1: oCAD, 2: cardiac, non-oCAD. The visual analysis of fSENC bull´s eye maps (blinded to final diagnosis) resulted in a sensitivity of 82% and specificity of 87%, as well as a negative predictive value of 96% for identification of oCAD. Both, global circumferential strain (GCS) and global longitudinal strain (GLS) accurately identified oCAD (area under the curve/AUC: GCS 0.867; GLS 0.874; p Conclusion In patients with acute chest pain, myocardial strain imaging with fSENC-CMR may serve as a fast and accurate diagnostic tool for ruling out obstructive coronary artery disease.

Details

ISSN :
19326203
Volume :
16
Database :
OpenAIRE
Journal :
PLOS ONE
Accession number :
edsair.doi.dedup.....8cd65a918f2a23fdafbc5fcf5ac8dd8f