Evidence map›Paper›PMID 31026623›Full record

ArticleNeurobiology of aging2019

Quantitative assessment of the intracranial vasculature in an older adult population using iCafe.

Li Chen, Jie Sun, Daniel S Hippe, Niranjan Balu, Quan Yuan, Isabelle Yuan, Xihai Zhao, Rui Li, Le He, Thomas S Hatsukami and 2 more

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 33 citations in OpenAlex.

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  7. Modification of cerebrovascular morphologies during different stages of life.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  8. Observational
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  11. Arterial elasticity, endothelial function and intracranial vascular health: A multimodal MRI study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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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

12 authors at 4 institutions in 2 countries.

Li ChenDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA.
Jie SunDepartment of Radiology, University of Washington, Seattle, WA, USA.
Daniel S HippeDepartment of Radiology, University of Washington, Seattle, WA, USA.
Niranjan BaluDepartment of Radiology, University of Washington, Seattle, WA, USA.
Quan YuanDepartment of Neurology, Xuanwu hospital, Capital Medical University, Beijing, China.
Isabelle YuanWellesley College, Wellesley, MA, USA.
Xihai ZhaoBiomedical Engineering, Tsinghua University, Beijing, China.
Rui LiBiomedical Engineering, Tsinghua University, Beijing, China.
Le HeBiomedical Engineering, Tsinghua University, Beijing, China.
Thomas S HatsukamiDepartment of Surgery, University of Washington, Seattle, WA, USA.
Jenq-Neng HwangDepartment of Electrical Engineering, University of Washington, Seattle, WA, USA.
Chun YuanDepartment of Radiology, University of Washington, Seattle, WA, USA. Electronic address: cyuan@uw.edu.
University of Washington · USTsinghua University · CNCapital Medical University · CNWellesley College · US

Funding

Carotid Intraplaque Hemorrhage: MRI of Therapeutic Response and Clinical SequelaeR01HL103609 · NHLBI · UNIVERSITY OF WASHINGTON · PI HATSUKAMI, THOMAS, YUAN, CHUN · 2011 to 2021
$7.1M
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
Culprit Plaque in Acute Cerebral Infarction: A Histological and MRI AssessmentR01NS083503 · NINDS · UNIVERSITY OF WASHINGTON · PI HATSUKAMI, THOMAS · 2013 to 2015
$598k
NHLBI NIH HHS R01 HL103609NINDS NIH HHS R01 NS083503NINDS NIH HHS R01 NS092207
6 · The paper itself

Abstract

Comprehensive quantification of intracranial artery features may help us assess and understand variations of blood supply during brain development and aging. We analyzed vasculature features of 163 participants (age 56-85 years, mean of 71) from a community study to investigate if any of the features varied with age. Three-dimensional time-of-flight magnetic resonance angiography images of these participants were processed in IntraCranial artery feature extraction technique (a recently developed technique to obtain quantitative features of arteries) to divide intracranial vasculatures into anatomical segments and generate 8 morphometry and intensity features for each segment. Overall, increase in age was found negatively associated with number of branches and average order of intracranial arteries while positively associated with tortuosity, which remained after adjusting for cardiovascular risk factors. The associations with number of branches and average order were consistently found between 3 main intracranial artery regions, whereas the association with tortuosity appeared to be present only in middle cerebral artery/distal arteries. The combination of time-of-flight magnetic resonance angiography and IntraCranial artery feature extraction technique may provide an effective way to study vascular conditions and changes in the aging brain.

Indexed as

AgedAged, 80 and overAgingBrainCerebral ArteriesFemaleHumansMagnetic Resonance AngiographyMaleMiddle AgedAgingFeature extractioniCafeIntracranial arteryVascular biomarkerVascular change

Identifiers

PMID31026623
PMCPMC6591051
OpenAlexW2934542510

What OpenQuestion 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 OpenQuestion graph.