Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleNeurointervention
Open Access

Blood-Flow Characteristics in a Terminal Basilar Tip Aneurysm Prior to Its Fatal Rupture

D.M. Sforza, C.M. Putman, E. Scrivano, P. Lylyk and J.R. Cebral
American Journal of Neuroradiology June 2010, 31 (6) 1127-1131; DOI: https://doi.org/10.3174/ajnr.A2021
D.M. Sforza
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
C.M. Putman
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
E. Scrivano
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
P. Lylyk
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J.R. Cebral
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: The development and validation of methods to stratify the risk of rupture of cerebral aneurysms is highly desired because current treatment risks can exceed the natural risk of rupture. Because unruptured aneurysms are typically treated before they rupture, it is very difficult to connect the proposed risk indices to the rupture of an individual aneurysm. The purpose of this case study was to analyze the hemodynamic environment of a saccular aneurysm of the terminal morphology subtype that was imaged just before its rupture and to test whether the hemodynamic characteristics would designate this particular aneurysm as at high risk.

MATERIALS AND METHODS: A patient-specific CFD model was constructed from 3DRA images acquired just hours before the aneurysm ruptured. A pulsatile flow calculation was performed, and hemodynamic characteristics previously connected to rupture were analyzed.

RESULTS: It was found that the aneurysm had a concentrated inflow stream, small impingement region, complex intra-aneurysmal flow structure, asymmetric flow split from the parent vessel to the aneurysm and daughter branches, and high levels of aneurysmal WSS near the impaction zone.

CONCLUSIONS: The hemodynamic characteristics observed in this aneurysm right before its rupture are consistent with previous studies correlating aneurysm rupture and hemodynamic patterns in saccular and terminal aneurysms. This study supports the notion that hemodynamic information may be used to help stratify the rupture risk of cerebral aneurysms.

Abbreviations

CFD
computational fluid dynamics
3DRA
3D rotational angiography
MCA
middle cerebral artery
SAH
subarachnoid hemorrhage
WSS
wall shear stress

The development and validation of methods to stratify and assess the rupture risk of cerebral aneurysms are highly desired because current treatment risks can exceed the natural risk of rupture.1–3 Earlier studies based on patient-specific CFD have compared hemodynamic characteristics between ruptured and unruptured saccular aneurysms and found that high-rate asymmetric inflows, concentrated inflow jets with small impaction zones, elevated maximum WSS, and complex unstable flow patterns were correlated with clinical history of previous rupture.4–6 Because unruptured aneurysms are typically treated before they rupture, it is very difficult to connect the proposed risk indices to the rupture of an individual aneurysm. This article presents a case study of a saccular aneurysm of the terminal morphologic type that was imaged with 3D angiography a few hours before its rupture. This study provides the rare opportunity to analyze the hemodynamic environment at the time of rupture and to test whether previously identified risk indices or characteristics would designate such aneurysm as high risk.

Materials and Methods

Clinical and Imaging Data

A 59-year-old female patient presented with headaches and SAH (Fisher III and Hunt-Hess II). CT showed 3 cerebral aneurysms, 2 in the right MCA and 1 at the tip of the basilar artery. These images also showed that a 7.5-mm aneurysm on the right MCA had ruptured. This aneurysm was then treated via endovascular embolization with coils. The basilar artery aneurysm was left untreated, and the patient presented a few hours later with a new SAH (Fisher IV). A CT scan showed new blood in the vascular territory corresponding to the basilar artery with intraventricular bleeding (Fig 1). No blood in the region of the coiled MCA aneurysm was observed in these images. Thus, it was determined that the second hemorrhage was due to the rupture of the basilar tip aneurysm. Unfortunately, the patient then died.

Fig 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 1.

CT scans demonstrating the bleeding with intraventricular hemorrhage of the basilar tip aneurysm and no extra blood in the region of the coiled MCA aneurysm.

During the endovascular procedure, catheter angiograms were obtained by standard transfemoral catheterization of the cerebral vessels, and digital subtraction imaging was done on an Integris Biplane Unit (Philips Medical Systems, Best, the Netherlands). These images were obtained during a 10-second injection of contrast agent and a 180° rotation with imaging at 15 frames per second for a total of 8 seconds. The corresponding 120 projection images were reconstructed on a dedicated Phillips workstation into a 3D dataset of 256 × 256 × 256 isotropic voxels covering a FOV of 25 mm in all 3 directions. The dataset was exported into a personal computer for vascular and hemodynamic modeling. A 3DRA image of the aneurysm is shown in Fig 2 (left panel).

Fig 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 2.

Anteroposterior view of the 3DRA of the basilar artery aneurysm before its rupture (left) and the corresponding geometric model (right).

Hemodynamics Modeling

A patient-specific CFD model of the aneurysm was constructed from the 3DRA image by using previously developed methods.7 The image was filtered, and segmentation was performed with a seeded region growing algorithm to reconstruct the topology of the vascular network followed by an isosurface deformable model to adjust the geometry to the vessel boundaries.8 The vascular model was then smoothed with a nonshrinking algorithm,9 and vessels were truncated perpendicularly to their axes. The final geometric model obtained is shown in Fig 2 (right panel). A volumetric grid composed of tetrahedral elements was generated by using an advancing front method with a resolution of 0.15 mm, resulting in approximately a 3.2 million element mesh. Blood flow was considered an incompressible Newtonian fluid (with attenuation ρ = 1.0 g/cm3 and viscosity μ = 0.04 poise) and modeled by the unsteady Navier-Stokes equations in 3D.10 These equations were numerically solved by using an implicit finite-element formulation on unstructured grids.11,12 Pulsatile physiologic flow conditions derived from phase-contrast MR imaging flow measurements on healthy subjects were prescribed at the inlet boundary (basilar artery) by using the fully developed Womersley profile and scaled with the inlet area to achieve a mean WSS of 15 dyne/cm2 at the inlet.13,14 The flow division from the basilar artery to the outflow vessels was determined from their area ratio, and corresponding pressure boundary conditions were applied at the model outlets. Vessel walls were assumed rigid, and no-slip boundary conditions were applied at the walls. A total of 2 cardiac cycles were computed by using 100 time steps per cycle; the results for the second cycle are presented. Because we were interested in gross characteristics of the blood flow pattern, this number of time steps was enough.

Data Analysis

The numeric results were visualized and inspected to classify the aneurysm according to hemodynamic characteristics previously identified as potential rupture risk factors.4–6,15 Namely, we considered the following characteristics: 1) location of the flow impaction (neck, body, or dome); 2) size of the flow impaction zone (small, <50% of the aneurysm area; large, >50% of the aneurysm area), 3) the inflow jet concentration (concentrated or diffuse), 4) the flow pattern type (simple, single vortical structure; or complex, >1 vortical structure). 5) terminal flow pattern type (type A, flow splits from the parent vessel into the 2 daughter branches and the aneurysm; type B, flow splits into 1 daughter branch and the aneurysm; type C, flow enters the aneurysm before flowing to the daughter branches). It was verified that the main aneurysm hemodynamic characteristics did not change by varying the inflow conditions for different heart rates. In addition, the maximum WSS at the neck and the aneurysm sac was recorded, and the area of the aneurysm under low WSS was calculated. The maximum, minimum, and mean WSS of the aneurysm sac was recorded.

Results

WSS and Pressure

Visualizations of the distributions of hemodynamic forces (WSS and pressure) on the vascular wall at peak systole are presented in Fig 3. These visualizations show that the WSS (Fig 3, left panel) reached a maximum of 393 dyne/cm2 at the neck of the aneurysm and the origin of the left posterior cerebral artery. In the aneurysm sac, the WSS reached a maximum of 160 dyne/cm2 on the left part of the aneurysm body at the zone of impaction of the inflow stream. The size of the flow impingement region (and elevated WSS) was small compared with the aneurysm sac (approximately 20% of the area of the aneurysm sac). The rest of the aneurysm sac was subjected to WSS values lower than those in the parent basilar artery. The pressure was mostly uniform throughout the aneurysm sac, except for a small region around the point of flow impaction, where a small overpressure of approximately 1.5 mm Hg could be observed (Fig 3, right panel). The minimum and mean WSS within the aneurysm sac was 0.13 dyne/cm2 and 14.7 dyne/cm2, respectively.

Fig 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 3.

Visualizations of the distributions of WSS magnitude (left) and pressure (right) at peak systole.

Intra-Aneurysmal Flow Pattern

Visualizations of the intra-aneurysmal blood flow structure at peak systole are presented in Fig 4. This figure shows instantaneous streamlines colored with the velocity magnitude, from 2 viewpoints. The flow stream from the parent vessel splits at the left part of the aneurysm neck, creating 2 streams, 1 flowing to the left posterior cerebral artery and the other into the aneurysm. The stream flowing into the aneurysm impacts the aneurysm wall on the left side of the aneurysm body and creates a complex flow pattern with several regions of flow recirculation before flowing into the right posterior cerebral artery.

Fig 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 4.

Visualizations of the aneurysm blood flow pattern at peak systole from 2 viewpoints. Streamlines are rendered with colors according to the velocity magnitude.

Inflow Stream

The inflow stream was visualized by using isovelocity surfaces and cutting planes. The velocity isosurface corresponding to v = 40 cm/s is presented in Fig 5 (left column) from 2 viewpoints. The velocity magnitude distributions on 2 selected cutting planes are also shown in Fig 5 (right column). The locations of the cutting planes are shown together with the isovelocity surfaces. These visualizations reveal a fairly concentrated inflow jet that impacts a relatively small region of the aneurysm wall. After impacting the wall, the inflow jet disperses into a wide umbrella-shaped structure along the aneurysm wall, filled with slower vortical structures toward the center of the aneurysm volume.

Fig 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 5.

Visualizations of the inflow jet into the aneurysm by using isovelocity surfaces (left column) at peak systole and velocity magnitudes on plane cuts through the inflow jet (right). The locations of the cutting planes are displayed together with the velocity isosurfaces (left).

Discussion

Previous studies relating hemodynamics and aneurysm rupture have identified some hemodynamic characteristics as potential rupture risk indicators. These studies, along with studies relating geometric properties of aneurysms and rupture,16–19 were based on the assumption that the rupture event did not substantially affect the aneurysm geometry and, therefore, the hemodynamic patterns obtained were representative of the blood flow structures before the rupture. This assumption is common to most studies of aneurysm rupture because unruptured aneurysms are typically treated before they rupture. Thus, it is very difficult to connect the proposed risk indices to the rupture of an individual aneurysm. In the case presented here, we had the rare opportunity of analyzing the hemodynamics in an aneurysm just before its rupture and testing whether this analysis would place this particular aneurysm in the high-risk categories. Indeed it was observed that this aneurysm had a concentrated inflow jet impacting a small region of the aneurysm wall, creating a small region of locally elevated WSS near the impaction zone with most of the aneurysm sac under low WSS and a complex flow pattern inside the aneurysm. These characteristics were previously associated with aneurysm rupture. Additionally, the aneurysm morphology was of the terminal type; thus, it could also be classified according to how the flow stream from the parent vessel divides into the aneurysm and the daughter branches. It was found that the flow stream from the parent vessel split into 2 streams, 1 flowing to 1 of the daughter branches and the other into the aneurysm before flowing to the other daughter branch. This flow division structure has also been previously associated with aneurysm rupture. Finally, the maximum WSS observed in the aneurysm sac (160 dyne/cm2) was closer to the mean WSS in ruptured (188 dyne/cm2) than to unruptured (118 dyne/cm2) aneurysms of the terminal morphologic type previously studied. All these observations would then designate this aneurysm as at high risk of rupture, and indeed, it did go on to bleed. These results are, therefore, consistent with previous studies relating hemodynamics and aneurysm rupture and support the notion that hemodynamic characteristics may be used to help stratify the rupture risk of cerebral aneurysms.

Recently, Cebral et al reported a similar study.20 In that case, the hemodynamic characteristics in a basilar artery aneurysm just before its rupture were described. These characteristics also included a concentrated inflow jet impacting a small region of the aneurysm wall with an associated complex flow pattern and a region of elevated WSS around the impaction point. However, that aneurysm was fusiform and had a mild stenosis just upstream of the aneurysm, which concentrated the flow stream at the aneurysm inlet. The previous studies relating hemodynamics and aneurysm rupture considered mainly saccular aneurysms4 and focused on the terminal morphologic subtype6 and on a subsample of aneurysms located at the anterior communicating artery.5 In contrast to the study of Cebral et al,20 the current study analyzes the hemodynamic environment just before the rupture of a saccular aneurysm with a terminal morphology. Thus, this study adds confirmation that the hemodynamic patterns described are consistent with those most commonly found in aneurysms with a previous history of bleeding.

The current study, however, does not provide information about the actual rupture site or its underlying mechanism. Unfortunately, no pathologic information was available from this case to identify the rupture site and help correlate the hemodynamic condition mode specifically to it. This study only provides information about the hemodynamic environment of the aneurysm just before its rupture. Although the characteristics of this hemodynamic environment have been observed to occur more often in aneurysms with a previous history of bleeding, this does not demonstrate that these characteristics are the cause of the rupture. In particular, the local pressure increase at the impingement zone is small compared with the normal intra-arterial pressure variation during the cardiac cycle and may not explain the rupture. Other factors may be involved in the process of rupture such as systemic hypertension or connective tissue deficiencies. Contacts from the perianeurysmal environment may cause abnormal damaging stresses and strains related to the vascular pulsatility.

Finally, the current study has several limitations common to most CFD analyses, which should be considered when evaluating the results. There are several sources of error that can affect the accuracy of the numeric simulations. The vascular geometry was approximated from 3D angiography image data and may have distortions from the process of construction and image optimization. The flow conditions were not patient-specific but were derived from measurements on healthy subjects. The inflow profile was assumed fully developed from representative measurements on healthy patients. Several assumptions were made for the CFD calculations, including outflow boundary conditions, rigid walls, and Newtonian properties. The wall biomechanics and perianeurysmal environment were not considered. However, CFD results have been shown to be robust to small variations of many of these assumptions and approximations7 and to be able to realistically represent the in vivo hemodynamics.21 The model construction and meshing took only a few minutes, and the pulsatile simulation ran in approximately 12 hours on a single core of a silicon graphics ICE cluster (http://www.sgi.com/products/servers/altix/ice) with 2 quad Xeon 5440 @ 2.83 GHz per node and 16 GB of RAM per node. It was also verified that a steady-flow calculation, which was completed in 2 minutes, provided similar qualitative information about the flow characteristics. This suggests that these techniques can potentially be used routinely for patient evaluation during angiography examinations.

Conclusions

This hemodynamic analysis of a saccular intracranial aneurysm of the terminal morphologic subtype that ruptured a few hours after being imaged is consistent with previous studies correlating aneurysm rupture and hemodynamic patterns in saccular and terminal aneurysms. This study adds further support to the notion that hemodynamic information may be used to help stratify the rupture risk of cerebral aneurysms.

Footnotes

  • We thank Philips Medical Systems for financial support. J.R.C. also acknowledges support from the National Institutes of Health grant R01NS059063.

Indicates open access to non-subscribers at www.ajnr.org

References

  1. 1.↵
    1. Kassell NF,
    2. Torner JC,
    3. Haley EC,
    4. et al
    . The International Cooperative Study on the Timing of Aneurysm Surgery. Part 1. Overall management results. J Neurosurg 1990;73:18–36
    CrossRefPubMed
  2. 2.↵
    1. Nishioka H,
    2. Torner JC,
    3. Graf CJ,
    4. et al
    . Cooperative study of intracranial aneurysms and subarachnoid hemorrhage: a long-term prognostic study. II. Ruptured intracranial aneurysms managed conservatively. Arch Neurol 1984;41:1142–46
    CrossRefPubMed
  3. 3.↵
    1. White PM,
    2. Wardlaw JM
    . Unruptured intracranial aneurysms. J Neuroradiol 2003;30:336–50
    PubMed
  4. 4.↵
    1. Cebral JR,
    2. Castro MA,
    3. Burgess JE,
    4. et al
    . Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. AJNR Am J Neuroradiol 2005;26:2550–59
    Abstract/FREE Full Text
  5. 5.↵
    1. Castro MA,
    2. Putman CM,
    3. Sheridan MJ,
    4. et al
    . Hemodynamic patterns of anterior communicating artery aneurysms: a possible association with rupture. AJNR Am J Neuroradiol 2009;30:297–302
    Abstract/FREE Full Text
  6. 6.↵
    1. Castro M,
    2. Putman C,
    3. Radaelli A,
    4. et al
    . Hemodynamics and rupture of terminal cerebral aneurysms. Acad Radiol 2009;16:1201–7. Epub 2009 Jun 23
    CrossRefPubMed
  7. 7.↵
    1. Cebral JR,
    2. Castro MA,
    3. Appanaboyina S,
    4. et al
    . Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans Med Imaging 2005;24:457–67
    CrossRefPubMed
  8. 8.↵
    1. Yim PJ,
    2. Vasbinder GB,
    3. Ho VB,
    4. et al
    . Isosurfaces as deformable models for magnetic resonance angiography. IEEE Trans Med Imaging 2003;22:875–81
    CrossRefPubMed
  9. 9.↵
    1. Taubin G
    . A signal processing approach to fair surface design. In: Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles, California, January 18–25, 1995:351–58
  10. 10.↵
    1. Kundu PK,
    2. Cohen IM
    . Fluid Mechanics. New York: Academic Press (Elsevier); 2004
  11. 11.↵
    1. Cebral JR,
    2. Yim PJ,
    3. Löhner R,
    4. et al
    . Blood flow modeling in carotid arteries using computational fluid dynamics and magnetic resonance imaging. Acad Radiol 2002;9:1286–99
    CrossRefPubMed
  12. 12.↵
    1. Kvamsdal
    1. Löhner R,
    2. Yang C,
    3. Cebral JR,
    4. et al
    . Fluid-structure-thermal interaction using adaptive unstructured grids. In: Kvamsdal , ed. Computational Methods for Fluid-Structure Interaction. Toronto, Ontario, Canada: Tapir Press; 1999:109–20
  13. 13.↵
    1. Womersley JR
    . Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known. J Physiol 1955;127:553–63
    PubMed
  14. 14.↵
    1. Cebral JR,
    2. Castro MA,
    3. Putman CM,
    4. et al
    . Flow-area relationship in internal carotid and vertebral arteries. Physiol Meas 2008;29:585–94
    CrossRefPubMed
  15. 15.↵
    1. Valencia A,
    2. Guzman AM,
    3. Finol EA,
    4. et al
    . Blood flow dynamics in saccular aneurysm models of the basilar artery. J Biomech Eng 2006;128:516–26
    CrossRefPubMed
  16. 16.↵
    1. Ujiie H,
    2. Tachibana H,
    3. Hiramtsu O
    . Effects of size and shape (aspect ratio) on the hemodynamics of saccular aneurysms: a possible index for the surgical treatment of intracranial aneurysms. Neurosurgery 1999;45:119–30
    CrossRefPubMed
  17. 17.↵
    1. Ma B,
    2. Harbaugh RE,
    3. Raghavan ML
    . Three-dimensional geometrical characterization of cerebral aneurysms. Ann Biomed Eng 2004;32:264–73
    CrossRefPubMed
  18. 18.↵
    1. Raghavan ML,
    2. Ma B,
    3. Harabaugh RE
    . Quantified aneurysm shape and rupture risk. J Neurosurg 2005;102:355–62
    CrossRefPubMed
  19. 19.↵
    1. Millan D,
    2. Dempere-Marco L,
    3. Pozo JM,
    4. et al
    . Morphological characterization of intracranial aneurysms using 3-D moment invariants. IEEE Trans Med Imaging 2007;26:1270–82
    CrossRefPubMed
  20. 20.↵
    1. Cebral JR,
    2. Hendrickson S,
    3. Putman CM
    . Hemodynamics in a lethal basilar artery aneurysm just before its rupture. AJNR Am J Neuroradiol 2009;30:95–98
    Abstract/FREE Full Text
  21. 21.↵
    1. Cebral JR,
    2. Pergolizzi R,
    3. Putman CM
    . Computational fluid dynamics modeling of intracranial aneurysms: qualitative comparison with cerebral angiography. Acad Radiol 2007;14:804–13
    CrossRefPubMed
  • Received July 16, 2009.
  • Accepted after revision October 23, 2009.
  • Copyright © American Society of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 31 (6)
American Journal of Neuroradiology
Vol. 31, Issue 6
1 Jun 2010
  • Table of Contents
  • Index by author
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Blood-Flow Characteristics in a Terminal Basilar Tip Aneurysm Prior to Its Fatal Rupture
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
D.M. Sforza, C.M. Putman, E. Scrivano, P. Lylyk, J.R. Cebral
Blood-Flow Characteristics in a Terminal Basilar Tip Aneurysm Prior to Its Fatal Rupture
American Journal of Neuroradiology Jun 2010, 31 (6) 1127-1131; DOI: 10.3174/ajnr.A2021

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Blood-Flow Characteristics in a Terminal Basilar Tip Aneurysm Prior to Its Fatal Rupture
D.M. Sforza, C.M. Putman, E. Scrivano, P. Lylyk, J.R. Cebral
American Journal of Neuroradiology Jun 2010, 31 (6) 1127-1131; DOI: 10.3174/ajnr.A2021
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • Abbreviations
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Hemodynamic characteristics of large unruptured internal carotid artery aneurysms prior to rupture: a case control study
  • Morphologic and Hemodynamic Risk Factors in Ruptured Aneurysms Imaged before and after Rupture
  • Computational fluid dynamics simulation of an anterior communicating artery ruptured during angiography
  • Analysis of Morphologic and Hemodynamic Parameters for Unruptured Posterior Communicating Artery Aneurysms with Oculomotor Nerve Palsy
  • 3D Computational Fluid Dynamics of a Treated Vertebrobasilar Giant Aneurysm: A Multistage Analysis
  • Quantification of speed-up and accuracy of multi-CPU computational flow dynamics simulations of hemodynamics in a posterior communicating artery aneurysm of complex geometry
  • Computational fluid dynamics simulation of an anterior communicating artery ruptured during angiography
  • Point: CFD--Computational Fluid Dynamics or Confounding Factor Dissemination
  • Association of Hemodynamic Characteristics and Cerebral Aneurysm Rupture
  • Crossref (29)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Association of Hemodynamic Characteristics and Cerebral Aneurysm Rupture
    J.R. Cebral, F. Mut, J. Weir, C.M. Putman
    American Journal of Neuroradiology 2011 32 2
  • CFD for Evaluation and Treatment Planning of Aneurysms: Review of Proposed Clinical Uses and Their Challenges
    Bongjae Chung, Juan Raul Cebral
    Annals of Biomedical Engineering 2015 43 1
  • Suggested Connections Between Risk Factors of Intracranial Aneurysms: A Review
    Juan R. Cebral, Marcelo Raschi
    Annals of Biomedical Engineering 2013 41 7
  • Point: CFD—Computational Fluid Dynamics or Confounding Factor Dissemination
    D.F. Kallmes
    American Journal of Neuroradiology 2012 33 3
  • Hemodynamic Management of Subarachnoid Hemorrhage
    Miriam M. Treggiari
    Neurocritical Care 2011 15 2
  • Computational fluid dynamics in brain aneurysms
    Daniel M. Sforza, Christopher M. Putman, Juan R. Cebral
    International Journal for Numerical Methods in Biomedical Engineering 2012 28 6-7
  • Hemodynamic Characteristics at the Rupture Site of Cerebral Aneurysms
    Kenichi Kono, Takeshi Fujimoto, Aki Shintani, Tomoaki Terada
    Neurosurgery 2012 71 6
  • Morphological Risk Factors for Rupture of Small (&lt;7 mm) Posterior Communicating Artery Aneurysms
    Nan Lv, Zhengzhe Feng, Chi Wang, Wei Cao, Yibin Fang, Christof Karmonik, Jianmin Liu, Qinghai Huang
    World Neurosurgery 2016 87
  • Morphologic and Hemodynamic Risk Factors in Ruptured Aneurysms Imaged before and after Rupture
    A. Chien, J. Sayre
    American Journal of Neuroradiology 2014 35 11
  • Hemodynamic and morphological characteristics of unruptured posterior communicating artery aneurysms with oculomotor nerve palsy
    Nan Lv, Ying Yu, Jinyu Xu, Christof Karmonik, Jianmin Liu, Qinghai Huang
    Journal of Neurosurgery 2016 125 2

More in this TOC Section

  • Effect of SARS-CoV2 on Endovascular Thrombectomy
  • Flow diversion for distal circulation aneurysms
  • Neuroform Atlas Stent for Intracranial Aneurysms
Show more NEUROINTERVENTION

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire