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Journal of Magnetic Resonance Imaging
Article . 2022 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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PubMed Central
Conference object . 2022
License: CC BY NC
Data sources: PubMed Central
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Automated Methods for Detecting and Quantitation of Enlarged Perivascular spaces on MRI

Authors: Jasmine Moses; Ben Sinclair; Meng Law; Terence J. O'Brien; Lucy Vivash;

Automated Methods for Detecting and Quantitation of Enlarged Perivascular spaces on MRI

Abstract

The brain's glymphatic system is a network of intracerebral vessels that function to remove “waste products” such as degraded proteins from the brain. It comprises of the vasculature, perivascular spaces (PVS), and astrocytes. Poor glymphatic function has been implicated in numerous diseases; however, its contribution is still unknown. Efforts have been made to image the glymphatic system to further assess its role in the pathogenesis of different diseases. Numerous imaging modalities have been utilized including two‐photon microscopy and contrast‐enhanced magnetic resonance imaging (MRI). However, these are associated with limitations for clinical use. PVS form a part of the glymphatic system and can be visualized on standard MRI sequences when enlarged. It is thought that PVS become enlarged secondary to poor glymphatic drainage of metabolites. Thus, quantitating PVS could be a good surrogate marker for glymphatic function. Numerous manual rating scales have been developed to measure the PVS number and size on MRI scans; however, these are associated with many limitations. Instead, automated methods have been created to measure PVS more accurately in different diseases. In this review, we discuss the imaging techniques currently available to visualize the glymphatic system as well as the automated methods currently available to measure PVS, and the strengths and limitations associated with each technique.Evidence Level1Technical EfficacyStage 1

Country
Australia
Keywords

610, Reviews, Humans, Brain, Magnetic Resonance Imaging, Glymphatic System

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
Green
hybrid