Evidence map›Paper›PMID 34427700›Full record

ArticleClinical neuroradiology2022

Age-dependent Intracranial Artery Morphology in Healthy Children.

Jennifer L Quon, Pauline Mouches, Lily H Kim, Rashad Jabarkheel, Yi Zhang, Gary K Steinberg, Gerald A Grant, Michael S B Edwards, Kristen W Yeom, Nils D Forkert

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Article in Clinical neuroradiology, 2022. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jennifer L QuonDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
Pauline MouchesDepartment of Radiology, Faculty of Medicine, University of Calgary, HMRB Building, Room 155, 3330 Hospital Drive NW, AB T2N 4N1, Calgary, Canada.
Lily H KimDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
Rashad JabarkheelStanford School of Medicine, Stanford, CA, USA.
Yi ZhangStanford School of Medicine, Stanford, CA, USA.
Gary K SteinbergDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
Gerald A GrantDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
Michael S B EdwardsDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
Kristen W YeomDivision of Radiology, Stanford University , School of Medicine, Lucile Packard Children's Hospital, Palo Alto, CA, USA.
Nils D ForkertDepartment of Radiology, Faculty of Medicine, University of Calgary, HMRB Building, Room 155, 3330 Hospital Drive NW, AB T2N 4N1, Calgary, Canada. nils.forkert@ucalgary.ca.ORCID http://orcid.org/0000-0003-2556-3224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEvaluation of intracranial artery morphology plays an important role in diagnosing a variety of neurovascular diseases. In addition to clinical symptoms, diagnosis currently relies on qualitative rather than quantitative evaluation of vascular imaging sequences, such as magnetic resonance angiography (MRA). However, there is a paucity of literature on normal arterial morphology in the pediatric population across brain development. We aimed to quantitatively assess normal, age-related changes in artery morphology in children.

methodsWe performed retrospective analysis of pediatric MRA data obtained from a tertiary referral center. An MRA dataset from 98 children (49 boys/49 girls) aged 0.6-20 years (median = 11.5 years) with normal intracranial vasculature was retrospectively collected between 2011 and 2018. All arteries were automatically segmented to determine the vessel radius. Using an atlas-based approach, the average radius and density of arteries were measured in the three main cerebral vascular territories and the radius of five major arteries was determined at corresponding locations.

resultsThe radii of the major arteries as well as the average artery radius and density in the different vascular territories in the brain remained constant throughout childhood and adolescence (|r| < 0.369 in all cases).

conclusionThis study presents the first automated evaluation of intracranial vessel morphology on MRA across childhood. Our results can serve as a framework for quantitative evaluation of cerebral vessel morphology in the setting of pediatric neurovascular diseases.

Indexed as

ArteriesMagnetic Resonance AngiographyAdolescentAdultBrainCerebral ArteriesChildChild, PreschoolFemaleHumansInfantMaleRetrospective StudiesYoung AdultBrain developmentCerebral arteriesMagnetic resonance angiographyPediatricsVessel morphology

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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.