Association between hemodynamic conditions and occlusion times after flow diversion in cerebral aneurysms.
BACKGROUND
Evaluation of flow diversion treatment of intracranial aneurysms is difficult owing to lack of knowledge of the target hemodynamic environment.


OBJECTIVE
To identify hemodynamic conditions created after flow diversion that induce fast aneurysm occlusion.


METHODS
Two groups of aneurysms treated with flow diverters alone were selected: (a) aneurysms completely occluded at 3 months (fast occlusion), and (b) aneurysms patent or incompletely occluded at 6 months (slow occlusion). A total of 23 aneurysms were included in the study. Patient-specific computational fluid dynamics models were constructed and used to characterize the hemodynamic environment immediately before and after treatment. Average post-treatment hemodynamic conditions between the fast and slow occlusion groups were statistically compared.


RESULTS
Aneurysms in the fast occlusion group had significantly lower post-treatment mean velocity (fast=1.13 cm/s, slow=3.11 cm/s, p=0.02), inflow rate (fast=0.47 mL/s, slow=1.89 mL/s, p=0.004) and shear rate (fast=20.52 1/s, slow=32.37 1/s, p=0.02) than aneurysms in the slow occlusion group. Receiver operating characteristics analysis showed that mean post-treatment velocity, inflow rate, and shear rate below a certain threshold could discriminate between aneurysms of the fast and slow occlusion groups with good accuracy (84%, 77%, and 76%, respectively).


CONCLUSIONS
The occlusion time of cerebral aneurysms treated with flow diverters can be predicted by the hemodynamic conditions created immediately after device implantation. Specifically, low post-implantation flow velocity, inflow rate, and shear rate are associated with fast occlusion times.
Center for Computational Fluid Dynamics, George Mason University, Fairfax, Virginia, USA Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil.
Fernando
http://orcid.org/0000-0003-1907-3739
F
Mut
Center for Computational Fluid Dynamics, George Mason University, Fairfax, Virginia, USA.
Marcelo
M
Raschi
Department of Interventional Neuroradiology, Instituto Clinico ENERI, Buenos Aires, Argentina.
Esteban
E
Scrivano
Department of Interventional Neuroradiology, Instituto Clinico ENERI, Buenos Aires, Argentina.
Carlos
http://orcid.org/0000-0003-2292-3263
C
Bleise
Department of Interventional Neuroradiology, Instituto Clinico ENERI, Buenos Aires, Argentina.
Jorge
J
Chudyk
Department of Interventional Neuroradiology, Instituto Clinico ENERI, Buenos Aires, Argentina.
Rosana
R
Ceratto
Department of Interventional Neuroradiology, Instituto Clinico ENERI, Buenos Aires, Argentina.
Pedro
P
Lylyk
Center for Computational Fluid Dynamics, George Mason University, Fairfax, Virginia, USA.
Juan R
JR
Cebral
D001783:Blood Flow Velocity / Q000502:physiology*; D006439:Hemodynamics / Q000502:physiology*; D006801:Humans; D002532:Intracranial Aneurysm / Q000175:diagnosis* / Q000601:surgery*; D060205:Therapeutic Occlusion / Q000295:instrumentation / Q000379:methods*; D013997:Time Factors
Aneurysm; Flow Diverter; Stent