- Poster presentation
- Open Access
Value of strain analysis with feature tracking in adenosine stress myocardial perfusion magnetic resonance imaging
© Schneeweis et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- Late Gadolinium Enhancement
- Perfusion Defect
- Circumferential Strain
- Feature Tracking
- Adenosine Stress
Adenosine stress magnetic resonance is highly accurate for the detection of myocardial perfusion abnormalities. Visual assessment of inducible wall motion abnormalities (IWMA) during adenosine has low sensitivity but high specificity since only high-grade perfusion defects are associated with detectable IWMAs. The novel technique Feature Tracking (FT) measures myocardial strain and gives detailed information about regional myocardial deformation. The aim of this study was to investigate FT for the detection of myocardial ischemia during adenosine stress.
A total of 62 patients with suspected or known coronary artery disease (CAD) underwent adenosine stress CMR at 1.5 or 3T. Patients with evidence of myocardial scar iby late gadolinium enhancement (LGE), WMA at rest and impaired left ventricular function (LVEF) were excluded (n = 34). Short axis (SAX) cine views were acquired before and after 3 minutes of continuous adenosine infusion (0.14 mg/min/kg). Patients with abnormal stress perfusion were considered positive for myocardial ischemia (n = 15) and segments with perfusion defects were defined as ischemic (n = 61). Patients without perfusion defects and without known CAD were defined as normal and served as control (13 patients, 208 segments). TomTec 2D Cardiac Performance Analysis software was used to derive quantitative assessment of circumferential strain (CS) and strain rate (SR) from the three SAX cine views at rest and under stress.
Strain analysis with FT during adenosine stress demonstrated significant differences between normal and ischemic segments. Therefore it may be a valuable additional tool for the assessment of myocardial ischemia.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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.