Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment.

ABSTRACT:

Background

Hemodynamic patterns have been associated with cerebral aneurysm instability. For patient-specific computational fluid dynamics (CFD) simulations, the inflow rates of a patient are typically not known. The aim of this study was to analyze the influence of inter- and intra-patient variations of cerebral blood flow on the computed hemodynamics through CFD simulations and to incorporate these variations into statistical models for aneurysm rupture prediction.

Methods

Image data of 1820 aneurysms were used for patient-specific steady CFD simulations with nine different inflow rates per case, capturing inter- and intra-patient flow variations. Based on the computed flow fields, 17 hemodynamic parameters were calculated and compared for the different flow conditions. Ne

SUBMITTER: Detmer FJ 

PROVIDER: S-EPMC7172014 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature