Perfusion imaging plays an important role in management decisions for a variety of cerebrovascular diseases. Most clinical perfusion MRI of stroke requires the use of contrast agent. However, contrast-agent perfusion cannot be used or fails to be used in 10-20% of patients. Therefore, an alternative technique to Gd-perfusion will benefit a substantial number of patients in clinical practice. Recently, a MR-Fingerprinting (MRF) ASL was developed for simultaneous estimations of CBF and bolus timing. In this study, we demonstrated the clinical utility of MRF-ASL in two types of cerebrovascular diseases, ischemic stroke and Moyamoya disease.
Participants:
18 subjects were studied, including 9 stroke patients (53±17yo, 5F), 4 Moyamoya patients (40±13yo, 4F) and 5 healthy normal controls (29±6yo, 3F).
MR Experiment:
All studies were performed on a 3T MRI (Philips) with informed consent using an IRB-approved protocol. The MRF-ASL sequence has been described previously5 and is illustrated in Figure 1. This technique can simultaneously quantify 7 parameters in a single scan of less than 4min. Imaging parameters of MRF-ASL were: 2D multi-slice EPI; matrix size=64×64; resolution=2.81mm×2.81mm; 7 slices, thickness=10mm, 500 dynamics; scan duration=3min 43s. For the stroke patients, additional sequences included DWI and FLAIR for evaluations of lesion area. For the Moyamoya patients, a time-of-flight angiography (TOF) was acquired to visualize arterial stenosis.
Data Analysis:
Bolus arrival time (BAT) and CBF maps were generated by dictionary matching5. These maps were then normalized to the MNI template. Quantitative analyses were based on perfusion territories of MCA, ACA, and PCA, using the perfusion atlas of van Laar et al6.
In stroke patients, the region of stroke (based on DWI and FLAIR) was first labeled as MCA, ACA, PCA territories, or their combinations. Then, averaged BAT and CBF within that territory were calculated and used as values for the stroke region. The corresponding contralateral regions were also averaged to yield BAT and CBF of the healthy region. Paired t tests were used to compare the perfusion parameters between the stroke and contralateral side.
In Moyamoya patients, territories suffering from stenosis were first determined by examining the morphology of ICA using the angiography. BAT and CBF of stenotic perfusion territories were calculated. BAT and CBF of PCA territories (which do not have stenosis in Moyamoya) were also obtained and used as a reference region. The difference in perfusion parameters between stenotic and reference regions were calculated. Because ICA and PCA territories show variations even in healthy individuals, the ICA-vs-PCA difference was also calculated in a group of healthy participants.
Stroke: Figure 2a shows MRI results of a representative patient who has right-sided ischemic stroke. Both DWI and FLAIR demonstrate infarction in right MCA territory (red arrows). Accordingly, prolonged bolus arrival and mild decreased CBF can be observed in the BAT and CBF maps (green arrows). Figure 2b summarizes BAT and CBF results from all patients (N=9). Stroke perfusion territories revealed a longer BAT (p=0.007) and a lower CBF (p=0.012) compared to the contralateral side. Figure 2c shows that the BAT difference between the stroke and contralateral region was inversely related to the time of MRI scans after stroke onset. This association was not observed when comparing CBF to MRI onset time (p=0.583).
Moyamoya disease: Figure 3a shows MRI images of a representative patient. Left MCA occlusion can be observed on TOF angiography. Accordingly, BAT in the left hemisphere is considerably increased while CBF is reduced. Figure 3b summarizes BAT and CBF of all patients (N=4) relative to that of healthy control subjects (N=5). Note that PCA territories were used as a reference region, as some Moyamoya patients have bilateral stenosis thus a contralateral healthy region is not always available. It was found that ICA BAT of Moyamoya patients was significantly higher (p<0.0001) while CBF was significantly lower (p=0.004) compared to those of healthy subjects.
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