embolic coils
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2021 ◽  
Vol 143 (7) ◽  
Author(s):  
Venkat Keshav Chivukula ◽  
Laurel Marsh ◽  
Fanette Chassagne ◽  
Michael C. Barbour ◽  
Cory M. Kelly ◽  
...  

Abstract As frequency of endovascular treatments for intracranial aneurysms increases, there is a growing need to understand the mechanisms for coil embolization failure. Computational fluid dynamics (CFD) modeling often simplifies modeling the endovascular coils as a homogeneous porous medium (PM), and focuses on the vascular wall endothelium, not considering the biomechanical environment of platelets. These assumptions limit the accuracy of computations for treatment predictions. We present a rigorous analysis using X-ray microtomographic imaging of the coils and a combination of Lagrangian (platelet) and Eulerian (endothelium) metrics. Four patient-specific, anatomically accurate in vitro flow phantoms of aneurysms are treated with the same patient-specific endovascular coils. Synchrotron tomography scans of the coil mass morphology are obtained. Aneurysmal hemodynamics are computationally simulated before and after coiling, using patient-specific velocity/pressure measurements. For each patient, we analyze the trajectories of thousands of platelets during several cardiac cycles, and calculate residence times (RTs) and shear exposure, relevant to thrombus formation. We quantify the inconsistencies of the PM approach, comparing them with coil-resolved (CR) simulations, showing the under- or overestimation of key hemodynamic metrics used to predict treatment outcomes. We fully characterize aneurysmal hemodynamics with converged statistics of platelet RT and shear stress history (SH), to augment the traditional wall shear stress (WSS) on the vascular endothelium. Incorporating microtomographic scans of coil morphology into hemodynamic analysis of coiled intracranial aneurysms, and augmenting traditional analysis with Lagrangian platelet metrics improves CFD predictions, and raises the potential for understanding and clinical translation of computational hemodynamics for intracranial aneurysm treatment outcomes.


Heart Rhythm ◽  
2021 ◽  
Author(s):  
Daniel R. Musikantow ◽  
Poojita Shivamurthy ◽  
Lori B. Croft ◽  
Iwanari Kawamura ◽  
Mohit K. Turagam ◽  
...  

2018 ◽  
Vol 10 (1) ◽  
pp. 32-45 ◽  
Author(s):  
Hooman Yadollahi-Farsani ◽  
Marcus Herrmann ◽  
David Frakes ◽  
Brian Chong

2018 ◽  
Vol 10 (7) ◽  
pp. e18-e18 ◽  
Author(s):  
Zachary Wilseck ◽  
Luis Savastano ◽  
Neeraj Chaudhary ◽  
Aditya S Pandey ◽  
Julius Griauzde ◽  
...  

Carotid blowout syndrome (CBS) is a known devastating complication of head and neck surgery. The risk of developing CBS increases in the setting of radiation therapy, wound breakdown, or tumor recurrence. Traditionally, the treatment of choice for CBS is surgical ligation of the bleeding artery; however, recently, endovascular occlusion has become a more common option. If a pseudoaneurysm is present, treatment consists of trapping with endovascular coils or occlusion with a liquid embolic agent. Delayed migration of embolization coils into the airway causing acute respiratory distress is a rare occurrence. This report presents a case of a 57-year-old woman who presented to her otolaryngologist after experiencing an episode of acute respiratory distress which resolved when she expectorated embolization coil material from her tracheostomy tube. Three months prior to the episode she underwent coil embolization of an external carotid artery pseudoaneurysm for life-threatening hemorrhage.


2017 ◽  
Vol 10 (8) ◽  
pp. 797-801 ◽  
Author(s):  
Soichiro Fujimura ◽  
Hiroyuki Takao ◽  
Takashi Suzuki ◽  
Chihebeddine Dahmani ◽  
Toshihiro Ishibashi ◽  
...  

PurposeThe purpose of this study was to investigate hemodynamics and coil distribution with changing coil stiffness and length using the finite element method (FEM) and computational fluid dynamics (CFD) analysis.MethodsBasic side-wall and bifurcation type aneurysm models were used. Six types of coil models were generated by changing the coil stiffness and length, based on commercially available embolic coils. Coil embolization was simulated using FEM. CFD was performed to characterize the hemodynamics in the aneurysms after embolization. Coil distribution and velocity reduction in the aneurysms were evaluated.ResultsThe median value of radial coil distribution was shifted from the center to the outer side of the aneurysmal dome by changing coil stiffness: harder coils entered the outer side of the aneurysmal dome more easily. Short coils were more distributed at the neck region, since their small size made it easy for them to enter the tighter area. CFD results also indicated that velocity in the aneurysm was effectively reduced when the coils were more distributed at the neck region and the outer side of the aneurysmal dome because of the disturbance in blood inflow.ConclusionsIt is easier for coils to enter the outer side of the aneurysmal sphere when they are harder. If coils are short, they can enter tighter areas more easily. In addition, high coil density at the outer side of the aneurysmal dome and at the neck region is important to achieve effective velocity reduction.


2017 ◽  
pp. bcr-2017-013178
Author(s):  
Zachary Wilseck ◽  
Luis Savastano ◽  
Neeraj Chaudhary ◽  
Aditya S Pandey ◽  
Julius Griauzde ◽  
...  

2016 ◽  
Vol 138 (2) ◽  
Author(s):  
Priya Nair ◽  
Brian W. Chong ◽  
Aprinda Indahlastari ◽  
Justin Ryan ◽  
Christopher Workman ◽  
...  

Embolic coiling is one of the most effective treatments for cerebral aneurysms (CAs), largely due to the hemodynamic modifications that the treatment effects in the aneurysmal environment. However, coiling can have very different hemodynamic outcomes in aneurysms with different geometries. Previous work in the field of biofluid mechanics has demonstrated on a general level that geometry is a driving factor behind aneurysmal hemodynamics. The goal of this study was to relate two specific geometric factors that describe CAs (i.e., dome size (DS) and parent-vessel contact-angle (PV-CA)) and one factor that describes treatment (i.e., coil packing density (PD)) to three clinically relevant hemodynamic responses (i.e., aneurysmal root-mean-square velocity (Vrms), aneurysmal wall shear stress (WSS), and cross-neck flow (CNF)). Idealized models of basilar tip aneurysms were created in both virtual and physical forms to satisfy two-level multifactorial experimental designs. Steady and pulsatile flow hemodynamics were then evaluated in the virtual models using computational fluid dynamics (CFD) (before and after virtual treatment with finite element (FE) embolic coil models), and hemodynamics were also evaluated in the physical models using particle image velocimetry (PIV) (before and after treatment with actual embolic coils). Results showed that among the factors considered, PD made the greatest contributions to effects on hemodynamic responses in and around the aneurysmal sac (i.e., Vrms and WSS), while DS made the greatest contributions to effects on hemodynamics at the neck (i.e., CNF). Results also showed that while a geometric factor (e.g., PV-CA) may play a relatively minor role in dictating hemodynamics in the untreated case, the same factor can play a much greater role after coiling. We consider the significance of these findings in the context of aneurysmal recurrence and rupture, and explore potential roles for the proposed methods in endovascular treatment planning.


2014 ◽  
Vol 339 (1-2) ◽  
pp. 97-101 ◽  
Author(s):  
Gaurav Girdhar ◽  
Megan Read ◽  
JiHae Sohn ◽  
Chirag Shah ◽  
Sanjay Shrivastava
Keyword(s):  

Author(s):  
M. H. Babiker ◽  
L. F. Gonzalez ◽  
B. Chong ◽  
D. H. Frakes

Endovascular coiling is the most common treatment for cerebral aneurysms. The treatment consists of deploying coils of different shapes and sizes into the aneurysm with the intent of reducing blood flow therein. While the treatment has been shown to be more effective than conventional surgical methods, it is successful in only 50–80% of cases, depending on the type of aneurysm [1]. Treatment success has been correlated with favorable post-treatment hemodynamics [2]. Understanding of the effects of coils on post-treatment hemodynamics is limited, however, due to limited in-vivo and in-vitro flow measurement techniques. Previous computational studies have also suffered from drastic assumptions about coil geometry.


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