Literature DB >> 22899789

Intracranial aneurysm neck size overestimation with 3D rotational angiography: the impact on intra-aneurysmal hemodynamics simulated with computational fluid dynamics.

J J Schneiders1, H A Marquering, L Antiga, R van den Berg, E VanBavel, C B Majoie.   

Abstract

BACKGROUND AND
PURPOSE: 3DRA is considered the reference standard for the assessment of intracranial aneurysm morphology. However, it has been shown that 3DRA may overestimate neck size compared with 2D DSA. The purpose of this study was to determine the impact of neck size overestimation with 3DRA on intra-aneurysmal hemodynamics.
MATERIALS AND METHODS: In a series of 20 patients, 20 intracranial aneurysms were analyzed for aneurysm neck size overestimation with 3DRA compared with 2D DSA. 3DRA-derived vascular models were modified to agree with 2D DSA. Geometric and hemodynamic variables of the original and modified vascular models were compared.
RESULTS: In 8 of the 20 evaluated cases, 3DRA-derived aneurysm models showed neck size overestimation compared with 2D DSA images. The average neck diameter reduction after modification was 19%, which was, on average, 0.85 mm (±0.32 mm). Modification of the neck resulted in differences in location of inflow jet (2/8), impingement zone (3/8), and low WSS area (4/8). In 1 case, the maximal WSS increased by 98% after modification. The change of impingement zone location resulted in a different classification of the impingement zone region in 2 cases.
CONCLUSIONS: Neck size overestimation on 3DRA can have non-negligible consequences for hemodynamic features determined with CFD.

Entities:  

Mesh:

Year:  2012        PMID: 22899789      PMCID: PMC7966331          DOI: 10.3174/ajnr.A3179

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  20 in total

1.  Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: an in vivo reproducibility study.

Authors:  A J Geers; I Larrabide; A G Radaelli; H Bogunovic; M Kim; H A F Gratama van Andel; C B Majoie; E VanBavel; A F Frangi
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-23       Impact factor: 3.825

2.  Comparison of 2D digital subtraction angiography and 3D rotational angiography in the evaluation of dome-to-neck ratio.

Authors:  W Brinjikji; H Cloft; G Lanzino; D F Kallmes
Journal:  AJNR Am J Neuroradiol       Date:  2009-01-08       Impact factor: 3.825

Review 3.  An image-based modeling framework for patient-specific computational hemodynamics.

Authors:  Luca Antiga; Marina Piccinelli; Lorenzo Botti; Bogdan Ene-Iordache; Andrea Remuzzi; David A Steinman
Journal:  Med Biol Eng Comput       Date:  2008-11-11       Impact factor: 2.602

4.  Identifying "truth" in computational fluid dynamics research.

Authors:  D F Kallmes
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-14       Impact factor: 3.825

5.  Risk of cerebral angiography in patients with subarachnoid hemorrhage, cerebral aneurysm, and arteriovenous malformation: a meta-analysis.

Authors:  H J Cloft; G J Joseph; J E Dion
Journal:  Stroke       Date:  1999-02       Impact factor: 7.914

6.  Association of hemodynamic characteristics and cerebral aneurysm rupture.

Authors:  J R Cebral; F Mut; J Weir; C M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-04       Impact factor: 3.825

7.  Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity.

Authors:  Juan R Cebral; Marcelo A Castro; Sunil Appanaboyina; Christopher M Putman; Daniel Millan; Alejandro F Frangi
Journal:  IEEE Trans Med Imaging       Date:  2005-04       Impact factor: 10.048

8.  Hemodynamic-morphologic discriminants for intracranial aneurysm rupture.

Authors:  Jianping Xiang; Sabareesh K Natarajan; Markus Tremmel; Ding Ma; J Mocco; L Nelson Hopkins; Adnan H Siddiqui; Elad I Levy; Hui Meng
Journal:  Stroke       Date:  2010-11-24       Impact factor: 7.914

9.  CFD analysis incorporating the influence of wall motion: application to intracranial aneurysms.

Authors:  Laura Dempere-Marco; Estanislao Oubel; Marcelo Castro; Christopher Putman; Alejandro Frangi; Juan Cebral
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

10.  Intracranial aneurysms treated with Guglielmi detachable coils: imaging follow-up with contrast-enhanced MR angiography.

Authors:  Jean-Yves Gauvrit; Xavier Leclerc; Sabine Caron; Christian A Taschner; Jean-Paul Lejeune; Jean-Pierre Pruvo
Journal:  Stroke       Date:  2006-03-09       Impact factor: 7.914

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  18 in total

1.  A non-dimensional parameter for classification of the flow in intracranial aneurysms. II. Patient-specific geometries.

Authors:  Hafez Asgharzadeh; Hossein Asadi; Hui Meng; Iman Borazjani
Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

2.  Ultrahigh-resolution CT scan of the temporal bone.

Authors:  Koji Yamashita; Akio Hiwatashi; Osamu Togao; Kazufumi Kikuchi; Nozomu Matsumoto; Daichi Momosaka; Hiroshi Nakatake; Yuki Sakai; Hiroshi Honda
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-08-22       Impact factor: 2.503

3.  3D cine phase-contrast MRI at 3T in intracranial aneurysms compared with patient-specific computational fluid dynamics.

Authors:  P van Ooij; J J Schneiders; H A Marquering; C B Majoie; E van Bavel; A J Nederveen
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-18       Impact factor: 3.825

4.  Discrepancy between two-dimensional and three-dimensional digital subtraction angiography for the planning of endovascular coiling of small cerebral aneurysms <5 mm.

Authors:  Te-Chang Wu; Yu-Kun Tsui; Tai-Yuan Chen; Ching-Chung Ko; Chien-Jen Lin; Jeon-Hor Chen; Ching-Po Lin
Journal:  Interv Neuroradiol       Date:  2020-05-18       Impact factor: 1.610

5.  Inflow hemodynamics evaluated by using four-dimensional flow magnetic resonance imaging and the size ratio of unruptured cerebral aneurysms.

Authors:  Kazuya Futami; Iku Nambu; Tomohiro Kitabayashi; Hiroki Sano; Kouichi Misaki; Naoyuki Uchiyama; Mitsutoshi Nakada
Journal:  Neuroradiology       Date:  2017-03-07       Impact factor: 2.804

6.  Better Than Nothing: A Rational Approach for Minimizing the Impact of Outflow Strategy on Cerebrovascular Simulations.

Authors:  C Chnafa; O Brina; V M Pereira; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2017-12-21       Impact factor: 3.825

7.  Hemodynamic analysis of renal artery stenosis using computational fluid dynamics technology based on unenhanced steady-state free precession magnetic resonance angiography: preliminary results.

Authors:  Weisheng Zhang; Yi Qian; Jiang Lin; Peng Lv; Kaavya Karunanithi; Mengsu Zeng
Journal:  Int J Cardiovasc Imaging       Date:  2013-12-07       Impact factor: 2.357

8.  Inflow Jet Patterns of Unruptured Cerebral Aneurysms Based on the Flow Velocity in the Parent Artery: Evaluation Using 4D Flow MRI.

Authors:  K Futami; T Kitabayashi; H Sano; K Misaki; N Uchiyama; F Ueda; M Nakada
Journal:  AJNR Am J Neuroradiol       Date:  2016-02-18       Impact factor: 3.825

9.  Rupture-associated changes of cerebral aneurysm geometry: high-resolution 3D imaging before and after rupture.

Authors:  J J Schneiders; H A Marquering; R van den Berg; E VanBavel; B Velthuis; G J E Rinkel; C B Majoie
Journal:  AJNR Am J Neuroradiol       Date:  2014-02-20       Impact factor: 3.825

10.  Mind the gap: impact of computational fluid dynamics solution strategy on prediction of intracranial aneurysm hemodynamics and rupture status indicators.

Authors:  K Valen-Sendstad; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-14       Impact factor: 3.825

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