Evidence map›Paper›PMID 35656756›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2024

Selective endovascular treatment of cervical arterial dissection using quantitative magnetic resonance angiography.

Laura Stone McGuire, Prateek Kumar, James S Ryoo, Ali Alaraj

Open access · greenAbstract read
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Laura Stone McGuireDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0001-8063-9389
Prateek KumarDepartment of Neurology, University of Illinois at Chicago, Chicago, IL, USA.
James S RyooCollege of Medicine, University of Illinois at Chicago, Chicago, IL, USA.
Ali AlarajDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0002-1491-4634
University of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe role of endovascular treatment in cervical artery dissection (CAD) is equivocal. This study compared cerebral blood flow in CAD between medically and endovascularly treated patients using quantitative magnetic resonance angiography (QMRA).

methodsRetrospective chart review was completed for patients with CAD. Inclusion criteria were adults (>18 years) with diagnosis of dissection of the internal carotid artery or vertebral artery who received QMRA. The cases were reviewed for clinical presentation, diagnosis, management, and imaging, and in particular, patients who underwent endovascular treatment were evaluated.

resultsForty-one patients were included, 46.3% female and mean age 46.0+/- 11.9 years. 21 patients (51.2%) had contralateral (ICA) dissections while 19 (46.3%) had vertebral artery (VA) dissections, and 1 had both involved. Five patients underwent stenting, angioplasty, or both. Baseline characteristics between patients who underwent medical versus endovascular treatment were similar, although patients undergoing stenting/angioplasty were more likely to have diabetes (p = 0.015) and prior anticoagulation use (p = 0.007). All endovascular patients demonstrated ischemia on MRI versus 53.1% of those undergoing medical management (p = 0.047). Comparing ipsilateral vessel flow over time in these two patient groups showed those who underwent stenting or angioplasty had lower baseline flows, albeit non-significant (p = 0.629). Patients who underwent endovascular treatment had lower distal flow compared to the medical management group.

conclusionThis study represents the first to assess vessel flow using QMRA in patients who underwent endovascular treatment of CAD. In combination with progressive symptoms, QMRA may serve as a useful adjunct in the selection of patients for endovascular intervention in arterial dissections.

Indexed as

Carotid Artery, Internal, DissectionCerebrovascular DisordersVertebral Artery DissectionAdultFemaleHumansMagnetic Resonance AngiographyMaleMiddle AgedRetrospective StudiesStentsTreatment OutcomeVertebral Arteryangioplastyarterial dissectionarterial flowquantitative MR angiographyStenting

Identifiers

PMID35656756
PMCPMC10956450
OpenAlexW4281785036

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.