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- Open Access
Cine-EPI can be used to detect coronary artery stenoses in canines
© Green et al; licensee BioMed Central Ltd. 2009
- Published: 28 January 2009
- Fractional Flow Reserve
- Blood Oxygen Level Dependent
- Echo Planar Imaging
- Adenosine Infusion
- Late Enhancement
Non-invasive assessment of myocardial ischemia is challenging. Because the BOLD (Blood Oxygen Level Dependent) effect mainly relies on endogenous contrast to differentiate ischemic from non-ischemic tissue, BOLD has the potential to directly assess myocardial oxygenation.
Though T2*-weighting is easily achieved using triggered, mid-diastolic echo planar imaging (EPI), it can be sensitive to artifacts. However, by using a cine-EPI approach, it may be possible to use a lower effective TE (TEeff), thereby reducing artifacts but maintaining BOLD sensitivity by averaging several mid-diastolic phases during analysis.
To demonstrate that a cine-EPI sequence can be used to detect adenosine-induced oxygenation changes in a stenosis dog model.
We developed a cine EPI sequence with the goal of obtaining strong BOLD-weighted imaging but without significant image artifacts. Cine phases were acquired using prospective ECG-triggering, a breath hold (~12 s), a short echo train (4 echoes) with a segmented approach (8 lines/segment), and a bipolar readout. All studies were performed on a 1.5 T MAGNETOM Avanto (Siemens Healthcare, Germany) in canines (n = 4) with a balloon catheter fluoroscopically guided into the left circumflex or left anterior descending coronary artery, to create stenoses as validated by simultaneous fractional flow reserve.
We obtained cine-EPI images in a mid-ventricular slice, before and during an adenosine infusion of 140 μg/kg for two minutes. We repeated this process twice, once with a mid-grade stenosis and once with a high-grade stenosis. At the end of the study, we injected gadolinium (Gd) via our intracoronary catheter and ran a perfusion scan to verify the territory affected by the stenosed artery. We then injected Gd intravenously and performed late enhancement (LE) to verify the absence of infarct. Sequence parameters for cine-EPI: FOV = 300 × 300 mm2; matrix = 123 × 128; thickness = 10 mm; temporal resolution = 49 ms; flip angle = 15°; TEeff = 15 ms.
We analyzed the data using a clinically validated software package (cmr42, Circle Cardiovascular Imaging Inc., Canada). We used the intracoronary perfusion images to identify the affected and remote myocardium. By averaging 4 phases corresponding to mid-diastole, we measured mean signal intensity (meanSI) in the affected and remote territory during no stenosis and the two stenosis levels, when the subject was at rest and during adenosine infusion. For each territory, we calculated the adenosine response as a percent change in image meanSI going from rest to stress (%ΔSIaden) for each of the three stenosis levels (no stenosis, mid-grade stenosis, high-grade stenosis). We then compared %ΔSIaden in a particular territory for the different stenosis levels using a matched pairs t-test (α = 0.05).
We have shown that cine-EPI can accurately detect changes in adenosine response in myocardium affected by a high-grade stenosis. We could use a lower TEeff than previously reported for EPI cardiac BOLD because we were able to signal average over several cardiac phases, which in turn reduced image artifacts. Cine-EPI shows promise for identifying regions of ischemia in CMR, simultaneous to functional assessment.
This article is published under license to BioMed Central Ltd.