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Determining Significant Morphological and Hemodynamic Parameters to Assess the Rupture Risk of Cerebral Aneurysms

  • Nicolás Amigo
  • Álvaro Valencia
Original Article
  • 46 Downloads

Abstract

Hemodynamics and morphology are recognized as major factors in the rupture risk of cerebral aneurysms, and exploration of their relationship is necessary to establish a method that can be employed by clinicians to assess the likelihood of rupture. In this work, morphological analysis and computational fluid dynamics were carried out to examine a database of 58 lateral cerebral aneurysms (26 ruptured and 32 unruptured) distributed among 49 patients. Eight morphological and six hemodynamic parameters were calculated and evaluated for statistical significance. It was observed that size ratio (SR), systolic wall shear stress (SWSS), diastolic wall shear stress (DWSS) and relative residence time (RRT) were statistically significant. The SR, DWSS, SWSS, and RRT were employed in multivariate logistic regression, obtaining a combined morphological–hemodynamic model, a pure morphological model, and a pure hemodynamic model to evaluate the odds ratio for rupture risk. The combined model had the highest efficiency, but no distinctive difference existed in the predictive capacity of the three models.

Keywords

Morphology Hemodynamic Cerebral aneurysm Rupture risk 

Abbreviations

CFD

Computational fluid dynamics

WSS

Wall shear stress

AR

Aspect ratio

SR

Size ratio

BNF

Bottleneck factor

NSI

Nonsphericity index

UI

Undulation index

αA

Aneurysm angle

αF

Flow angle

αV

Vessel angle

DWSS

Diastolic wall shear stress

SWSS

Systolic wall shear stress

TAWSS

Time-averaged wall shear stress

RRT

Relative residence time

OSI

Oscillatory shear index

AFI

Aneurysm formation index

ROC

Receiver operating characteristics

AUC

Area under the curve

Notes

Acknowledgements

N. Amigo thanks CONICYT for PhD Fellowship CONICYT-PFCHA/Doctorado Nacional/2015-21151448. The authors would also like to thank Professor Ender Finol and Dr. Sourav Patnaik for their fruitful and constructive suggestions.

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Copyright information

© Taiwanese Society of Biomedical Engineering 2018

Authors and Affiliations

  1. 1.Departamento de Ingeniería MecánicaUniversidad de ChileSantiagoChile
  2. 2.Núcleo de Matemáticas, Física y Estadística, Facultad de CienciasUniversidad MayorSantiagoChile

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