Literature DB >> 11765817

Intraaneurysmal flow dynamics study featuring an acrylic aneurysm model manufactured using a computerized tomography angiogram as a mold.

S Tateshima1, Y Murayama, J P Villablanca, T Morino, H Takahashi, T Yamauchi, K Tanishita, F Vinuela.   

Abstract

OBJECT: To obtain precise flow profiles in patients' aneurysms, the authors developed a new in vitro study method featuring an aneurysm model manufactured using three-dimensional computerized tomography (3D CT) angiography.
METHODS: A clear acrylic basilar artery (BA) tip aneurysm model manufactured from a patient's 3D CT angiogram was used to analyze flow modifications during one cardiac cycle. Stereolithography was utilized to create the aneurysm model. Three-dimensional flow profiles within the aneurysm model were obtained from velocity measurements by using laser Doppler velocimetry. The aneurysm inflow/outflow zones changed dynamically in their location, size of their cross-sectional area, and also in their shapes over one cardiac cycle. The flow velocity at the inflow zone was 16.8 to 81.9% of the highest axial velocity in the BA with a pulsatility index (PI) of 1.1. The flow velocity at the outflow zone was 16.8 to 34.3% of the highest axial velocity of the BA, with a PI of 0.68. The shear stress along the walls of the aneurysm was calculated from the fluid velocity measured at a distance of 0.5 mm from the wall. The highest value of shear stress was observed at the bleb of the aneurysm.
CONCLUSIONS: This clear acrylic model of a BA tip aneurysm manufactured using a CT angiogram allowed qualitative and quantitative analysis of its flow during a cardiac cycle. Accumulated knowledge from this type of study may reveal pertinent information about aneurysmal flow dynamics that will help practitioners understand the relationship among anatomy, flow dynamics, and the natural history of aneurysms.

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Year:  2001        PMID: 11765817     DOI: 10.3171/jns.2001.95.6.1020

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  27 in total

1.  Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics.

Authors:  M A Castro; C M Putman; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

2.  Rapid vessel prototyping: vascular modeling using 3t magnetic resonance angiography and rapid prototyping technology.

Authors:  Michael Markl; Ralf Schumacher; Jürg Küffer; Thorsten A Bley; Jürgen Hennig
Journal:  MAGMA       Date:  2005-12-21       Impact factor: 2.310

3.  Flow-area relationship in internal carotid and vertebral arteries.

Authors:  J R Cebral; M A Castro; C M Putman; N Alperin
Journal:  Physiol Meas       Date:  2008-05-07       Impact factor: 2.833

4.  Morphological risk factors for the rupture of anterior communicating artery aneurysms: the significance of fenestration.

Authors:  Jai Ho Choi; Kyung Il Jo; Keon Ha Kim; Pyoung Jeon; Je Young Yeon; Jong Soo Kim; Seung Chyul Hong
Journal:  Neuroradiology       Date:  2015-10-28       Impact factor: 2.804

5.  Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models.

Authors:  Juan R Cebral; Marcelo A Castro; James E Burgess; Richard S Pergolizzi; Michael J Sheridan; Christopher M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2005 Nov-Dec       Impact factor: 3.825

6.  In vitro investigation of contrast flow jet timing in patient-specific intracranial aneurysms.

Authors:  Liang-der Jou; Virendra R Desai; Garvin W Britz
Journal:  Quant Imaging Med Surg       Date:  2016-04

7.  Hemodynamics of Cerebral Aneurysms.

Authors:  Daniel M Sforza; Christopher M Putman; Juan Raul Cebral
Journal:  Annu Rev Fluid Mech       Date:  2009-01-01       Impact factor: 18.511

8.  Visualization of intraaneurysmal flow patterns with transluminal flow images of 3D MR angiograms in conjunction with aneurysmal configurations.

Authors:  Toru Satoh; Keisuke Onoda; Shoji Tsuchimoto
Journal:  AJNR Am J Neuroradiol       Date:  2003-08       Impact factor: 3.825

9.  Numerical modeling of the flow in intracranial aneurysms: prediction of regions prone to thrombus formation.

Authors:  V L Rayz; L Boussel; M T Lawton; G Acevedo-Bolton; L Ge; W L Young; R T Higashida; D Saloner
Journal:  Ann Biomed Eng       Date:  2008-09-12       Impact factor: 3.934

10.  Computational simulation of therapeutic parent artery occlusion to treat giant vertebrobasilar aneurysm.

Authors:  Tamer Hassan; Masayuki Ezura; Eugene V Timofeev; Teiji Tominaga; Tsutomu Saito; Akira Takahashi; Kazuyoshi Takayama; Takashi Yoshimoto
Journal:  AJNR Am J Neuroradiol       Date:  2004-01       Impact factor: 3.825

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