Evidence map›Paper›PMID 29601146›Full record

ArticleInternational journal for numerical methods in biomedical engineering2018

Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees.

Mahsa Ghaffari, Ali Alaraj, Xinjian Du, Xiaohong Joe Zhou, Fady T Charbel, Andreas A Linninger

Open access · greenAbstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Mahsa GhaffariDepartment of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.
Ali AlarajDepartment of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.
Xinjian DuDepartment of Neurosurgery, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA.
Xiaohong Joe ZhouDepartment of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.
Fady T CharbelDepartment of Neurosurgery, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA.
Andreas A LinningerDepartment of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.ORCID 0000-0002-2694-630X
University of Illinois Chicago · US

Funding

A vascular tree topology inspired platform to compute intracranial blood flow (tree CFD)R21NS099896 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ALARAJ, ALI, LINNINGER, ANDREAS A · 2017 to 2018
$421k
NINDS NIH HHS R21 NS099896
6 · The paper itself

Abstract

Detailed hemodynamic analysis of blood flow in pathological segments close to aneurysm and stenosis has provided physicians with invaluable information about the local flow patterns leading to vascular disease. However, these diseases have both local and global effects on the circulation of the blood within the cerebral tree. The aim of this paper is to demonstrate the importance of extending subject-specific hemodynamic simulations to the entire cerebral arterial tree with hundreds of bifurcations and vessels, as well as evaluate hemodynamic risk factors and waveform shape characteristics throughout the cerebral arterial trees. Angioarchitecture and in vivo blood flow measurement were acquired from healthy subjects and in cases with symptomatic intracranial aneurysm and stenosis. A global map of cerebral arterial blood flow distribution revealed regions of low to high hemodynamic risk that may significantly contribute to the development of intracranial aneurysms or atherosclerosis. Comparison of pre-intervention and post-intervention of pathological cases further shows large angular phase shift (~33.8°), and an augmentation of the peak-diastolic velocity. Hemodynamic indexes of waveform analysis revealed on average a 16.35% reduction in the pulsatility index after treatment from lesion site to downstream distal vessels. The lesion regions not only affect blood flow streamlines of the proximal sites but also generate pulse wave shift and disturbed flow in downstream vessels. This network effect necessitates the use of large-scale simulation to visualize both local and global effects of pathological lesions.

Indexed as

AdultCerebral ArteriesCerebrovascular CirculationComputer SimulationFemaleHemodynamicsHumansMagnetic Resonance AngiographyMaleRisk FactorsTime FactorsWavelet Analysisaneurysmnear-wall disturbed flowOscillatory shear indexparametric hexahedral meshpatient specificpulsatility indexrelative residence timestenosis

Identifiers

PMID29601146
PMCPMC6043404
OpenAlexW2794740751

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.