Literature DB >> 24506436

Stratification of a population of intracranial aneurysms using blood flow metrics.

Rohini Retarekar1, Manasi Ramachandran, Benjamin Berkowitz, Robert E Harbaugh, David Hasan, Robert H Rosenwasser, Christopher S Ogilvy, Madhavan L Raghavan.   

Abstract

Indices of the intra-aneurysm hemodynamic environment have been proposed as potentially indicative of their longitudinal outcome. To be useful, the indices need to be used to stratify large study populations and tested against known outcomes. The first objective was to compile the diverse hemodynamic indices reported in the literature. Furthermore, as morphology is often the only patient-specific information available in large population studies, the second objective was to assess how the ranking of aneurysms in a population is affected by the use of steady flow simulation as an approximation to pulsatile flow simulation, even though the former is clearly non-physiological. Sixteen indices of aneurysmal hemodynamics reported in the literature were compiled and refined where needed. It was noted that, in the literature, these global indices of flow were always time-averaged over the cardiac cycle. Steady and pulsatile flow simulations were performed on a population of 198 patient-specific and 30 idealised aneurysm models. All proposed hemodynamic indices were estimated and compared between the two simulations. It was found that steady and pulsatile flow simulations had a strong linear dependence (r ≥ 0.99 for 14 indices; r ≥ 0.97 for 2 others) and rank the aneurysms in an almost identical fashion (ρ ≥ 0.99 for 14 indices; ρ ≥ 0.96 for other 2). When geometry is the only measured piece of information available, stratification of aneurysms based on hemodynamic indices reduces to being a physically grounded substitute for stratification of aneurysms based on morphology. Under such circumstances, steady flow simulations may be just as effective as pulsatile flow simulation for estimating most key indices currently reported in the literature.

Entities:  

Keywords:  computational fluid dynamics; intracranial aneurysms; wall shear stress

Year:  2014        PMID: 24506436      PMCID: PMC4261052          DOI: 10.1080/10255842.2013.869322

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  28 in total

1.  Aneurysm rupture following treatment with flow-diverting stents: computational hemodynamics analysis of treatment.

Authors:  J R Cebral; F Mut; M Raschi; E Scrivano; R Ceratto; P Lylyk; C M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-11       Impact factor: 3.825

2.  Aneurysm inflow-angle as a discriminant for rupture in sidewall cerebral aneurysms: morphometric and computational fluid dynamic analysis.

Authors:  Merih I Baharoglu; Clemens M Schirmer; Daniel A Hoit; Bu-Lang Gao; Adel M Malek
Journal:  Stroke       Date:  2010-05-27       Impact factor: 7.914

3.  Hemodynamic shear stress and its role in atherosclerosis.

Authors:  A M Malek; S L Alper; S Izumo
Journal:  JAMA       Date:  1999-12-01       Impact factor: 56.272

4.  Numerical investigation of the hemodynamics in anatomically realistic lateral cerebral aneurysms.

Authors:  Alvaro Valencia; Julio Munizaga; Rodrigo Rivera; Eduardo Bravo
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

5.  Comparison of steady-state and transient blood flow simulations of intracranial aneurysms.

Authors:  A J Geers; I Larrabide; H G Morales; A F Frangi
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

6.  Regarding "Aneurysm rupture following treatment with flow-diverting stents: computational hemodynamics analysis of treatment".

Authors:  D Fiorella; C Sadasivan; H H Woo; B Lieber
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-21       Impact factor: 3.825

7.  Quantitative characterization of the hemodynamic environment in ruptured and unruptured brain aneurysms.

Authors:  J R Cebral; F Mut; J Weir; C Putman
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-02       Impact factor: 3.825

8.  Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms.

Authors:  Masaaki Shojima; Marie Oshima; Kiyoshi Takagi; Ryo Torii; Motoharu Hayakawa; Kazuhiro Katada; Akio Morita; Takaaki Kirino
Journal:  Stroke       Date:  2004-11       Impact factor: 7.914

9.  Stability of pulsatile blood flow at the ostium of cerebral aneurysms.

Authors:  Aishwarya R Mantha; Goetz Benndorf; Andres Hernandez; Ralph W Metcalfe
Journal:  J Biomech       Date:  2009-04-23       Impact factor: 2.712

10.  Estimation of cerebral blood flow through color duplex sonography of the carotid and vertebral arteries in healthy adults.

Authors:  M Schöning; J Walter; P Scheel
Journal:  Stroke       Date:  1994-01       Impact factor: 7.914

View more
  4 in total

Review 1.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

2.  The effect of inlet waveforms on computational hemodynamics of patient-specific intracranial aneurysms.

Authors:  J Xiang; A H Siddiqui; H Meng
Journal:  J Biomech       Date:  2014-10-13       Impact factor: 2.712

Review 3.  Hemodynamics of Cerebral Aneurysms: Connecting Medical Imaging and Biomechanical Analysis.

Authors:  Vitaliy L Rayz; Aaron A Cohen-Gadol
Journal:  Annu Rev Biomed Eng       Date:  2020-03-25       Impact factor: 11.324

4.  Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge.

Authors:  Kristian Valen-Sendstad; Aslak W Bergersen; Yuji Shimogonya; Leonid Goubergrits; Jan Bruening; Jordi Pallares; Salvatore Cito; Senol Piskin; Kerem Pekkan; Arjan J Geers; Ignacio Larrabide; Saikiran Rapaka; Viorel Mihalef; Wenyu Fu; Aike Qiao; Kartik Jain; Sabine Roller; Kent-Andre Mardal; Ramji Kamakoti; Thomas Spirka; Neil Ashton; Alistair Revell; Nicolas Aristokleous; J Graeme Houston; Masanori Tsuji; Fujimaro Ishida; Prahlad G Menon; Leonard D Browne; Stephen Broderick; Masaaki Shojima; Satoshi Koizumi; Michael Barbour; Alberto Aliseda; Hernán G Morales; Thierry Lefèvre; Simona Hodis; Yahia M Al-Smadi; Justin S Tran; Alison L Marsden; Sreeja Vaippummadhom; G Albert Einstein; Alistair G Brown; Kristian Debus; Kuniyasu Niizuma; Sherif Rashad; Shin-Ichiro Sugiyama; M Owais Khan; Adam R Updegrove; Shawn C Shadden; Bart M W Cornelissen; Charles B L M Majoie; Philipp Berg; Sylvia Saalfield; Kenichi Kono; David A Steinman
Journal:  Cardiovasc Eng Technol       Date:  2018-09-10       Impact factor: 2.495

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.