Fernando Mut1, Marcelo Raschi2, Esteban Scrivano3, Carlos Bleise3, Jorge Chudyk3, Rosana Ceratto3, Pedro Lylyk3, Juan R Cebral2. 1. 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. 2. Center for Computational Fluid Dynamics, George Mason University, Fairfax, Virginia, USA. 3. Department of Interventional Neuroradiology, Instituto Clinico ENERI, Buenos Aires, Argentina.
Abstract
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. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
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. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Authors: Fernando Mut; Bong Jae Chung; Jorge Chudyk; Pedro Lylyk; Ramanathan Kadirvel; David F Kallmes; Juan R Cebral Journal: Int J Numer Method Biomed Eng Date: 2019-04-11 Impact factor: 2.747
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Authors: O Brina; P Bouillot; P Reymond; A S Luthman; C Santarosa; M Fahrat; K O Lovblad; P Machi; B M A Delattre; V M Pereira; M I Vargas Journal: AJNR Am J Neuroradiol Date: 2019-11-14 Impact factor: 3.825
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