Evidence map›Paper›PMID 38975060›Full record

ArticleJournal of clinical imaging science2024

Intracranial cerebrovascular lesions on T2-weighted magnetic resonance imaging.

Navpreet Kaur R Khurana, Eytan Raz, Atif Wasim Haneef Mohamed, Houman Sotoudeh, Amulya Reddy, Jesse Jones, Manoj Tanwar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical imaging science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Navpreet Kaur R KhuranaDepartment of Internal Medicine, Saint Vincent Hospital, Worcester, United States.
Eytan RazDepartment of Radiology, New York University Grossman School of Medicine, New York, United States.
Atif Wasim Haneef MohamedDepartment of Neuroradiology, The University of Alabama at Birmingham, Birmingham, Alabama, United States.
Houman SotoudehDepartment of Neuroradiology, The University of Alabama at Birmingham, Birmingham, Alabama, United States.
Amulya ReddyDepartment of Internal Medicine, MedStar Health-Georgetown/Washington Hospital Center, Washington, DC, United States.
Jesse JonesDepartment of Neurosurgery, The University of Alabama at Birmingham, Birmingham, Alabama, United States.
Manoj TanwarDepartment of Neuroradiology, The University of Alabama at Birmingham, Birmingham, Alabama, United States.ORCID https://orcid.org/0000-0001-6859-0922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) of the brain has been implemented to evaluate multiple intracranial pathologies. Non-contrast T2-weighted images are a routinely acquired sequence in almost all neuroimaging protocols. It is not uncommon to encounter various cerebrovascular lesions incidentally on brain imaging. Neuroradiologists should evaluate the routine T2-weighted images for incidental cerebrovascular lesions, irrespective of the primary indication of the study. Vascular structures typically demonstrate a low signal flow-void on the T2-weighted images. In our experience, large cerebrovascular abnormalities are easily visible to a typical neuroradiologist. In this article, we present the spectrum of the characteristic imaging appearance of various intracranial cerebrovascular lesions on routine non-contrast T2-weighted MRI. These include aneurysm, arteriovenous malformation, arterial occlusion, capillary telangiectasia, cavernous malformation, dural arteriovenous fistula, moyamoya, proliferative angiopathy, and vein of Galen malformation.

Indexed as

CerebrovascularIncidental findingsMagnetic resonance imagingNon-invasive imagingOpportunistic screening

Identifiers

PMID38975060
PMCPMC11225518

What OpenQuestion holds

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Registered trials

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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.