ReviewJournal of magnetic resonance imaging : JMRI2023
Automated Methods for Detecting and Quantitation of Enlarged Perivascular spaces on MRI.
Review in Journal of magnetic resonance imaging : JMRI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- The etiology and evolution of magnetic resonance imaging-visible perivascular spaces: Systematic review and meta-analysis.Frontiers in neuroscience · 2023Pooled it
- Imaging Biomarkers of the Glymphatic System in the Developing Brain.Korean journal of radiology · 2026Review
- Glymphatic Dysfunction and Aquaporin-4 Dysregulation in Traumatic Brain Injury and Brain Tumors: A Review.Molecular neurobiology · 2026Review
- Quantitative assessment of idiopathic normal pressure hydrocephalus and obstructive hydrocephalus based on glymphatic parameters.Neuroradiology · 2026Article
- Aging macaques bridge the translational gap in perivascular space biology.Scientific reports · 2026Article
- Improved visualization of perivascular spaces on T2-weighted imaging with deep learning-based denoising and super-resolution reconstruction.Scientific reports · 2026Article
- The Prevalence of Sleep Disorders in Populations with Glymphatic Dysfunction: A Systematic Review and Meta-Analysis.Biology · 2026Review
- Aging macaques bridge the translational gap in perivascular space biology.bioRxiv : the preprint server for biology · 2026Article
- Beyond AQP-4: convergent glymphatic-meningeal lymphatic dysfunction underlying multifactorial migraine pathogenesis.Frontiers in immunology · 2026Review
- Evaluating the exploratory classification performance of multimodal magnetic resonance imaging in neuropsychiatric systemic lupus erythematosus: a prospective cohort study.Frontiers in neuroscience · 2026Article
- Chronic Migraine Is Associated With Region-Specific High-Grade Enlarged Perivascular Spaces: Retrospective Matched Case-Control Study.Journal of clinical neurology (Seoul, Korea) · 2026Article
- The role of glymphatic system in brain injury after subarachnoid hemorrhage.Frontiers in immunology · 2026Review
- Prognostic value of magnetic resonance imaging-visible perivascular spaces in patients with idiopathic normal pressure hydrocephalus.Quantitative imaging in medicine and surgery · 2026Article
- A window into the brain: multimodal MRI assessment of vascular cognitive impairment.Frontiers in neuroscience · 2025Review
- Quantitative assessment of brain glymphatic imaging features using deep learning-based EPVS segmentation and DTI-ALPS analysis in Alzheimer's disease.Frontiers in aging neuroscience · 2025Article
- A brain-wide solute transport model of the glymphatic system.Journal of the Royal Society, Interface · 2024Article
- Role of the glymphatic system and perivascular spaces as a potential biomarker for post-stroke epilepsy.Epilepsia open · 2024Review
- Overview of the Current Knowledge and Conventional MRI Characteristics of Peri- and Para-Vascular Spaces.Brain sciences · 2024Review
- Deep-learning-based segmentation of perivascular spaces on T2-Weighted 3T magnetic resonance images.Frontiers in aging neuroscience · 2024Article
- Quantitative assessment of enlarged perivascular spaces via deep-learning in community-based older adults reveals independent associations with vascular neuropathologies, vascular risk factors and cognition.Brain communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 LEVEL: 1 TECHNICAL EFFICACY: Stage 1.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.