Functional significance of Blood Oxygen Level Dependent (BOLD) imaging in patients with coronary artery disease - a validation study using fractional flow reserve
Autor: | Dominik P Guensch, Judy Luu, James L. Hare, Jodi Harker, Matthias G. Friedrich |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Medicine(all)
medicine.medical_specialty lcsh:Diseases of the circulatory (Cardiovascular) system Blood-oxygen-level dependent Radiological and Ultrasound Technology business.industry Fractional flow reserve Gold standard (test) medicine.disease Intensity (physics) Surgery Coronary artery disease lcsh:RC666-701 Internal medicine Poster Presentation medicine Cardiology Functional significance Radiology Nuclear Medicine and imaging In patient Cardiology and Cardiovascular Medicine business Angiology |
Zdroj: | Journal of Cardiovascular Magnetic Resonance, Vol 13, Iss Suppl 1, p P92 (2011) Journal of Cardiovascular Magnetic Resonance |
ISSN: | 1097-6647 |
Popis: | 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 suspected of having coronary artery disease (CAD). The aim of this study was to validate whether BOLDsensitive CMR images can detect and quantify alterations 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 coronary 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 subendocardial myocardium at basal, mid, and apical regions. Segmental ΔSI% in the corresponding coronary territory was defined as ischemic (using a cut-off of |
Databáze: | OpenAIRE |
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