Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease

Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic progressive bilateral stenosis of the terminal portion of the internal carotid arteries (ICAs), and it is associated with the formation of an abnormal vascular network at the base of the brain.1,2 For the diagnosis of the moyamoya disease, digital subtraction angiography (DSA), which helps evaluate collateral circulation from the view point of the hemorrhagic risk, is the gold standard.3,4 On the contrary, magnetic resonance imaging (MRI) and magnetic resonance angiography (MRA) can be used as alternatives to conventional angiography because they are less invasive and have been acknowledged as reliable diagnostic modalities with high sensitivity and specificity.
Source: Journal of Stroke and Cerebrovascular Diseases - Category: Neurology Authors: Source Type: research