Moyamoya disease (MMD) is characterized by chronic occlusion of the distal intracranial internal carotid arteries and can be treated by revascularization surgery. At present, surgical decisions are primarily based on symptomatology and imaging studies such as DSA and SPECT. However, current procedures are costly, invasive, and qualitative. Here we applied a novel iVas-MRI technique that provides quantitative assessment of multiple hemodynamic parameters in a single scan of 9 minutes, and examined its sensitivity and specificity in predicting surgical decisions. Our results showed that iVas-MRI has an overall accuracy of 0.93 in predicting surgical decisions in MMD.
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