Evidence map›Paper›PMID 31261117›Full record

ArticleNeurosurgical focus2019

Hemodynamic and morphological characteristics of a growing cerebral aneurysm.

Mahsa Dabagh, Priya Nair, John Gounley, David Frakes, L Fernando Gonzalez, Amanda Randles

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Neurosurgical focus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Description of the local hemodynamic environment in intracranial aneurysm wall subdivisions.International journal for numerical methods in biomedical engineering · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors at 2 institutions in 1 country.

Mahsa DabaghDepartments of1Biomedical Engineering and.
Priya NairSchools of2Biological and Health Systems Engineering and.
John GounleyDepartments of1Biomedical Engineering and.
David FrakesSchools of2Biological and Health Systems Engineering and.
L Fernando Gonzalez4Neurosurgery, Duke University, Durham, North Carolina; and.
Amanda RandlesDepartments of1Biomedical Engineering and.
Arizona State University · USDuke University · US

Funding

Toward coupled multiphysics models of hemodynamics on leadership systemsDP5OD019876 · OD · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI RANDLES, AMANDA E · 2014 to 2018
$2.0M
NIH HHS DP5 OD019876
6 · The paper itself

Abstract

The growth of cerebral aneurysms is linked to local hemodynamic conditions, but the driving mechanisms of the growth are poorly understood. The goal of this study was to examine the association between intraaneurysmal hemodynamic features and areas of aneurysm growth, to present the key hemodynamic parameters essential for an accurate prediction of the growth, and to gain a deeper understanding of the underlying mechanisms. Patient-specific images of a growing cerebral aneurysm in 3 different growth stages acquired over a period of 40 months were segmented and reconstructed. A unique aspect of this patient-specific case study was that while one side of the aneurysm stayed stable, the other side continued to grow. This unique case enabled the authors to examine their aims in the same patient with parent and daughter arteries under the same inlet flow conditions. Pulsatile flow in the aneurysm models was simulated using computational fluid dynamics and was validated with in vitro experiments using particle image velocimetry measurements. The authors' detailed analysis of intrasaccular hemodynamics linked the growing regions of aneurysms to flow instabilities and complex vortex structures. Extremely low velocities were observed at or around the center of the unstable vortex structure, which matched well with the growing regions of the studied cerebral aneurysm. Furthermore, the authors observed that the aneurysm wall regions with a growth greater than 0.5 mm coincided with wall regions of lower (< 0.5 Pa) time-averaged wall shear stress (TAWSS), lower instantaneous (< 0.5 Pa) wall shear stress (WSS), and high (> 0.1) oscillatory shear index (OSI). To determine which set of parameters can best identify growing and nongrowing aneurysms, the authors performed statistical analysis for consecutive stages of the growing CA. The results demonstrated that the combination of TAWSS and the distance from the center of the vortical structure has the highest sensitivity and positive predictive value, and relatively high specificity and negative predictive value. These findings suggest that an unstable, recirculating flow structure within the aneurysm sac created in the region adjacent to the aneurysm wall with low TAWSS may be introduced as an accurate criterion to explain the hemodynamic conditions predisposing the aneurysm to growth. The authors' findings are based on one patient's data set, but the study lays out the justification for future large-scale verification. The authors' findings can assist clinicians in differentiating stable and growing aneurysms during preinterventional planning.

Indexed as

HemodynamicsAlgorithmsBlood Flow VelocityCerebral AngiographyCerebral ArteriesComputer SimulationDisease ProgressionFemaleHumansHydrodynamicsIntracranial AneurysmMiddle AgedPredictive Value of TestsReproducibility of ResultsTomography, X-Ray ComputedCA = cerebral aneurysmcerebral aneurysmCFD = computational fluid dynamicsEC = endothelial cellflow instabilitiesgrowing aneurysmintrasaccular hemodynamicsLBM = lattice Boltzmann methodmorphologynear aneurysmal wall hemodynamicsNPV = negative predictive valueOSI = oscillatory shear indexPIV = particle image velocimetryPPV = positive predictive valuestable aneurysmTAWSS = time-averaged WSSvortex structuresWSS = wall shear stress

Identifiers

PMID31261117
PMCPMC7605304
OpenAlexW2954258234

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.