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Bifurcation Type and Larger Low Shear Area Are Associated with Rupture Status of Very Small Intracranial Aneurysms

Overview of attention for article published in Frontiers in Neurology, November 2016
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Title
Bifurcation Type and Larger Low Shear Area Are Associated with Rupture Status of Very Small Intracranial Aneurysms
Published in
Frontiers in Neurology, November 2016
DOI 10.3389/fneur.2016.00169
Pubmed ID
Authors

Yisen Zhang, Zhongbin Tian, Linkai Jing, Ying Zhang, Jian Liu, Xinjian Yang

Abstract

Characterization of the risk factors for rupture of very small intracranial aneurysm (VSIA, ≤3 mm) is clinically valuable, since VSIAs are implicated in subarachnoid hemorrhage. The aim of this study was to identify morphological and hemodynamic parameters that independently characterize the rupture status of VSIAs. We conducted a retrospective study of consecutive VSIAs between September 2010 and February 2014 in our institute. A series of morphologic and hemodynamic parameters were evaluated using computational fluid dynamics, based on patient-specific three-dimensional geometrical models. We identified 186 patients with 206 VSIAs (73 ruptured, 133 unruptured). Univariable logistic regression analysis showed that bifurcation type, parent artery diameter, size ratio, time-averaged wall shear stress (WSS), maximum WSS, minimum WSS, and low shear area (LSA) were related to rupture status. Bifurcation type and larger LSA were independently associated with rupture status in multivariable logistic regression (p = 0.002 and p = 0.003, respectively). Bifurcation type and larger LSA were independently associated with VSIA rupture status. Further studies are needed prospectively on patient-derived geometries prior to rupturing based on large multi-population data to confirm the present findings.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 25%
Student > Ph. D. Student 4 14%
Researcher 3 11%
Other 3 11%
Student > Doctoral Student 2 7%
Other 6 21%
Unknown 3 11%
Readers by discipline Count As %
Engineering 9 32%
Medicine and Dentistry 8 29%
Neuroscience 3 11%
Energy 1 4%
Chemical Engineering 1 4%
Other 2 7%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 November 2016.
All research outputs
#20,355,479
of 22,903,988 outputs
Outputs from Frontiers in Neurology
#8,832
of 11,823 outputs
Outputs of similar age
#348,963
of 415,133 outputs
Outputs of similar age from Frontiers in Neurology
#44
of 73 outputs
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