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Functional significance of Blood Oxygen Level Dependent (BOLD) imaging in patients with coronary artery disease - a validation study using fractional flow reserve

Authors
Journal
Journal of Cardiovascular Magnetic Resonance
1097-6647
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Volume
13
Identifiers
DOI: 10.1186/1532-429x-13-s1-p92
Keywords
  • Poster Presentation
Disciplines
  • Medicine

Abstract

Functional significance of Blood Oxygen Level Dependent (BOLD) imaging in patients with coronary artery disease - a validation study using fractional flow reserve POSTER PRESENTATION Open Access Functional significance of Blood Oxygen Level Dependent (BOLD) imaging in patients with coronary artery disease - a validation study using fractional flow reserve Judy Luu1*, Jodi Harker1, Dominik Guensch1, James Hare2, Matthias Friedrich1 From 2011 SCMR/Euro CMR Joint Scientific Sessions Nice, France. 3-6 February 2011 Background/purpose Blood oxygen level-dependent (BOLD) cardiac MRI (CMR) uses the signal generated by endogenous hemoglobin in the blood supply to directly measure tissue oxygenation. Therefore it may be useful as a non-contrast enhanced, non-invasive method to detect the presence of myocardial ischemia in patients sus- pected of having coronary artery disease (CAD). The aim of this study was to validate whether BOLD- sensitive CMR images can detect and quantify altera- tions in myocardial oxygen levels in patients with CAD, in comparison to the gold standard of fractional flow reserve (FFR). Methods Oxygen-sensitive BOLD CMR scans were performed in patients who were scheduled for clinically-indicated cor- onary angiography. BOLD images were captured during rest and adenosine-induced coronary hyperemia. The mean BOLD signal intensity (SI) percent changes were calculated between rest and hyperemia in the subendo- cardial myocardium at basal, mid, and apical regions. Segmental ΔSI% in the corresponding coronary territory was defined as ischemic (using a cut-off of <0.80) or non-ischemic by FFR. The BOLD segment with the lowest ΔSI% in the territory subtended by the FFR measurements was selected for statistical analysis. Bland-Altman analysis was used to assess the level of agreement between all segments analyzed by two blinded readers. Results Twenty-eight patients totaling 147 myocardial segments were available for analysis. 73 segments were excluded, with 66% of these

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