Abstract 331: Non-invasive Detection of Coronary Artery Disease Using Blood Oxygen Level-dependent Magnetic Resonance Imaging at 3 Tesla
BACKGROUND: By exploiting the paramagnetic properties of deoxyhemoglobin, blood oxygen level-dependent (BOLD) MRI can be used to determine myocardial oxygenation. In this study involving human subjects, we used BOLD and perfusion MRI at 3 Tesla to investigate the relationship between coronary artery stenosis, myocardial perfusion and tissue oxygenation. We sought
to define a threshold for BOLD MRI to identify myocardium subtended by coronary stenosis, and
to determine its diagnostic accuracy in patients with suspected CAD.
METHODS: Ischemic thresholds for BOLD and first-pass perfusion imaging were determined in 25 patients (age 61±7) with known CAD and 20 normal volunteers (age 53±7). These thresholds were then applied in a consecutive series of 60 patients with suspected CAD, in whom diagnostic angiography was scheduled to investigate exertional chest pain. For BOLD MRI, short-axis images were acquired at rest and stress (4–5 minutes intravenous adenosine, 140μg/kg/min) using a T2-prepared SSFP sequence. First-pass perfusion imaging was then performed in the same slice locations following intravenous Gadolinium-DTPA bolus injections (0.04mmol/kg). Absolute quantification of perfusion was performed using model-independent deconvolution. For BOLD analysis, stress signal intensity (SI) was indexed to resting SI using a segmental approach. QCA was used to evaluate segmental coronary stenosis: a reduction in luminal diameter of > 50% was deemed significant.
RESULTS: In the validation arm, taking QCA as the gold standard, cut-off values to define ischemic segments were derived for hyperemic myocardial blood flow (<2.1ml/min/g - AUC 0.72) and BOLD SI change (<5.2% -AUC 0.64). In the prospective arm, the complete imaging protocol was performed in 57 individuals (age 61±9, CAD prevalence 68%). On a per subject basis, applying the BOLD SI threshold provided diagnostic accuracy 83%, sensitivity 94% and specificity 56% for the detection of CAD (compared with 84%, 95% and 61%, respectively for perfusion imaging). On a per subject basis, agreement between BOLD and perfusion imaging was 81%.
CONCLUSION: BOLD imaging at 3 Tesla is comparable with first-pass perfusion imaging, and yields favorable diagnostic accuracy in the detection of significant CAD.