Increased cerebral oxygen extraction fraction (OEF) in cerebrovascular disease is linked with a greatly elevated risk of recurrent ischemic stroke. The current gold standard for OEF imaging is Oxygen-15 PET; which is less widely available and more expensive than MRI, and includes an ionizing radiation dose. We studied quantitative susceptibility mapping derived OEF maps and R2* mapping combined with an Acetazolamide challenge in a group of unilateral CVD patients, and found increased OEF and reduced cerebrovascular reactivity in the disease-affected hemisphere using these methods. With further refinement, these techniques may provide a clinical alternative to 15O-PET for OEF imaging.
15 CVD patients (8 females, average age 56, range 34-79) with unilateral steno-occlusive disease of the ICA or MCA, and 24 healthy controls (HC) (17 females, average age 27, range 22-37) were studied. All data were acquired using a multi-echo GRE sequence at 3T, with patients scanned on a Trio Tim scanner, and HCs on a Prisma (Siemens, Erlangen, Germany). There were three sets of acquisition parameters, as the data were combined from different studies; these are shown in Table 1. The two CVD patient groups in Table 1 were combined for group level analysis.
Patient images were acquired at baseline, and 16 minutes after intravenous administration of 1 gram ACZ. QSM reconstruction was completed using a previously described L1-norm optimization based method5. Voxelwise R2* maps were derived by fitting a single exponential decay to the multi-echo magnitude signal. Small veins were detected on QSM images by identifying voxels with susceptibility values greater than the mean plus 1.5 SD of a 16x16 voxel convolution kernel (Figure 1, part B); brain tissue was defined as susceptibility values less than the kernel mean minus 1 SD. Large veins and basal ganglia nuclei were masked out using templates (Figure 2 top row, yellow and green regions)6,7. Relative OEF was based on the susceptibility difference between venous blood and brain tissue as has been reported previously, and was calculated within non-overlapping ~2x2x2cm VOIs2,3. Average OEF and R2* values in the MCA territories (Figure 2 top row, red regions) were used to calculate intrasubject interhemispheric ratios. To determine large vessel susceptibility changes, the SS was identified from vein masked QSM images; and the MCA was masked by applying the convolution kernel method to the first echo magnitude image, which has high arterial blood signal intensity (Figure 2 bottom row).
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