Computational quantification of brain perivascular space morphologies: associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936: Perivascular spaces associations

ConclusionsComputational measures reflecting individual PVS size, length and width were more strongly associated with WMH, stroke and hypertension than computational count or visual PVS score. Multidimensional computational PVS metrics may increase sensitivity to detect associations of PVS with risk exposures, brain lesions and neurological disease, provide greater anatomic detail and accelerate sunderstanding of disorders of brain fluid and waste clearance.Graphical abstract
Source: NeuroImage: Clinical - Category: Radiology Source Type: research