Assessment of significant coronary artery stenosis using blood oxygen level dependent cardiovascular magnetic resonance (BOLD-CMR)
| Autor: | Jodi Harker, Matthias G. Friedrich, Judy Luu, Dominik P Guensch, James L. Hare |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Pulmonary and Respiratory Medicine
medicine.medical_specialty lcsh:Diseases of the circulatory (Cardiovascular) system 030232 urology & nephrology Coronary stenosis Fractional flow reserve 030204 cardiovascular system & hematology 03 medical and health sciences Hyperaemia 0302 clinical medicine Text mining Internal medicine Medicine Radiology Nuclear Medicine and imaging cardiovascular diseases Angiology Medicine(all) Blood-oxygen-level dependent Radiological and Ultrasound Technology medicine.diagnostic_test business.industry food and beverages Magnetic resonance imaging Oxygenation medicine.anatomical_structure lcsh:RC666-701 Poster Presentation Cardiology cardiovascular system Radiology medicine.symptom Cardiology and Cardiovascular Medicine business Artery |
| Zdroj: | Journal of Cardiovascular Magnetic Resonance, Vol 14, Iss Suppl 1, p P4 (2012) Journal of Cardiovascular Magnetic Resonance |
| ISSN: | 1532-429X |
| DOI: | 10.1186/1532-429x-14-s1-p4 |
| Popis: | Summary Oxygenation-sensitive CMR at 1.5T can be used to identify functionally significant coronary artery stenosis, by demonstrating a blunted response to adenosine induced hyperaemia. Image quality remains a limitation. Background Using the magnetic properties of hemoglobin, changes in myocardial tissue oxygenation can be detected with blood oxygen level dependent (BOLD) cardiovascular MRI (CMR). The study aim was to assess whether BOLD-CMR images can detect an abnormal myocardial tissue response to adenosine infusion in patients with CAD, when compared to fractional flow reserve (FFR). Methods Patients undergoing clinically indicated coronary angiography underwent BOLD CMR scans using a clinical 1.5T scanner. Three short axis BOLD cine images were captured at baseline and during adenosine-induced coronary hyperemia. The mean segmental percent signal intensity (SI) changes were calculated between baseline and hyperemia in the subendocardial myocardium using the 16-segment model. Segments were defined as ischemic or non-ischemic by FFR (cut-off |
| Databáze: | OpenAIRE |
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