Evidence map›Paper›PMID 26769729›Full record

ReviewJournal of neurointerventional surgery2016

Vessel wall imaging for intracranial vascular disease evaluation.

Mahmud Mossa-Basha, Matthew Alexander, Santhosh Gaddikeri, Chun Yuan, Dheeraj Gandhi

Abstract readReview
In one paragraph

Review in Journal of neurointerventional surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

  1. Trial
  2. Trial
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  5. Article
  6. Article
  7. Article
  8. Intracranial vascular manifestations of neurosyphilis: a single-center case series.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Multimodal imaging approach for the diagnosis of intracranial atherosclerotic disease (ICAD): Basic principles, current and future perspectives.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024
    Review
  18. Review
  19. Vessel Wall Imaging in Cryptogenic Stroke.Radiologic clinics of North America · 2023
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mahmud Mossa-BashaDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Matthew AlexanderDepartment of Radiology, University of California-San Francisco, San Francisco, California, USA.
Santhosh GaddikeriDepartment of Radiology, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-4226-5563
Chun YuanDepartment of Radiology, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-6154-5106
Dheeraj GandhiDepartment of Radiology, Neurosurgery and Neurology, University of Maryland, Baltimore, Maryland, USA.

Funding

3D WALLI: MR intracranial vessel wall imaging for stroke preventionR01NS092207 · NINDS · UNIVERSITY OF WASHINGTON · PI MOSSA-BASHA, MAHMUD, YUAN, CHUN · 2016 to 2019
$3.1M
3D WALLI: MR intracranial vessel wall imaging for stroke preventionR56NS092207 · NINDS · UNIVERSITY OF WASHINGTON · PI MOSSA-BASHA, MAHMUD, YUAN, CHUN · 2015 to 2015
$609k
NINDS NIH HHS R01 NS092207NINDS NIH HHS R56 NS092207
6 · The paper itself

Abstract

Accurate and timely diagnosis of intracranial vasculopathies is important owing to the significant risk of morbidity with delayed and/or incorrect diagnosis both from the disease process and inappropriate therapies. Conventional luminal imaging techniques for analysis of intracranial vasculopathies are limited to evaluation of changes in the vessel lumen. Vessel wall MRI techniques can allow direct characterization of pathologic changes of the vessel wall. These techniques may improve diagnostic accuracy and improve patient outcomes. Extracranial carotid vessel wall imaging has been extensively investigated in patients with atherosclerotic disease and has been shown to accurately assess plaque composition and identify vulnerable plaque characteristics that may predict stroke risk beyond luminal stenosis alone. This review provides a brief history of vessel wall MRI, an overview of the intracranial vessel wall MRI techniques, its applications, and imaging findings of various intracranial vasculopathies pertinent to the neurointerventionalist, neurologist, and neuroradiologist. We searched MEDLINE, PubMed, and Google for English publications containing any of the following terms: 'intracranial vessel wall imaging', 'intracranial vessel wall', and 'intracranial vessel wall MRI'.

Indexed as

Cerebral ArteriesCerebral VeinsCerebrovascular DisordersHumansMagnetic Resonance ImagingPlaque, AtheroscleroticArteryAtherosclerosisMRIVasculitisVessel Wall

Identifiers

PMID26769729
PMCPMC5484417

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.