Literature DB >> 30341160

Towards the Clinical utility of CFD for assessment of intracranial aneurysm rupture - a systematic review and novel parameter-ranking tool.

Li Liang1, David A Steinman2, Olivier Brina1, Christophe Chnafa2, Nicole M Cancelliere1, Vitor M Pereira1,3.   

Abstract

BACKGROUND: Intracranial aneurysms (IAs) are vascular dilations on cerebral vessels that affect between 1%-5% of the general population, and can cause life-threatening intracranial hemorrhage when ruptured. Computational fluid dynamics (CFD) has emerged as a promising tool to study IAs in recent years, particularly for rupture risk assessment. However, despite dozens of studies, CFD is still far from clinical use due to large variations and frequent contradictions in hemodynamic results between studies.
PURPOSE: To identify key gaps in the field of CFD for the study of IA rupture, and to devise a novel tool to rank parameters based on potential clinical utility.
METHODS: A Pubmed search identified 231 CFD studies for IAs. Forty-six studies fit our inclusion criteria, with a total of 2791 aneurysms. For included studies, study type, boundary conditions, solver resolutions, parameter definitions, geometric and hemodynamic parameters used, and results found were recorded. DATA SYNTHESIS: Aspect ratio, aneurysm size, low wall shear stress area, average wall shear stress, and size ratio were the parameters that correlate most strongly with IA rupture. LIMITATIONS: Significant differences in parameter definitions, solver spatial and temporal resolutions, number of cycles between studies as well as frequently missing information such as inlet flow rates were identified. A greater emphasis on prospective studies is also needed.
CONCLUSIONS: Our recommendations will help increase standardization and bridge the gaps in the CFD community, and expedite the process of making CFD clinically useful in guiding the treatment of IAs. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  aneurysm; blood flow; hemorrhage; stroke; technology

Mesh:

Year:  2018        PMID: 30341160     DOI: 10.1136/neurintsurg-2018-014246

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  10 in total

1.  4D Flow MRI Estimation of Boundary Conditions for Patient Specific Cardiovascular Simulation.

Authors:  Ryan Pewowaruk; Alejandro Roldán-Alzate
Journal:  Ann Biomed Eng       Date:  2019-05-08       Impact factor: 3.934

Review 2.  Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases.

Authors:  Yong He; Hannah Northrup; Ha Le; Alfred K Cheung; Scott A Berceli; Yan Tin Shiu
Journal:  Front Bioeng Biotechnol       Date:  2022-04-27

3.  Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data.

Authors:  David R Rutkowski; Alejandro Roldán-Alzate; Kevin M Johnson
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

Review 4.  Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review.

Authors:  Sarah N Lipp; Elizabeth E Niedert; Hannah L Cebull; Tyler C Diorio; Jessica L Ma; Sean M Rothenberger; Kimberly A Stevens Boster; Craig J Goergen
Journal:  Front Physiol       Date:  2020-05-12       Impact factor: 4.566

5.  Multimodal validation of focal enhancement in intracranial aneurysms as a surrogate marker for aneurysm instability.

Authors:  Naomi Larsen; Charlotte Flüh; Sylvia Saalfeld; Samuel Voß; Georg Hille; David Trick; Fritz Wodarg; Michael Synowitz; Olav Jansen; Philipp Berg
Journal:  Neuroradiology       Date:  2020-07-17       Impact factor: 2.804

6.  Medical Image-Based Hemodynamic Analyses in a Study of the Pulmonary Artery in Children With Pulmonary Hypertension Related to Congenital Heart Disease.

Authors:  Liping Wang; Jinlong Liu; Yumin Zhong; Mingjie Zhang; Jiwen Xiong; Juanya Shen; Zhirong Tong; Zhuoming Xu
Journal:  Front Pediatr       Date:  2020-12-02       Impact factor: 3.418

7.  Rupture risk assessment for multiple intracranial aneurysms: why there is no need for dozens of clinical, morphological and hemodynamic parameters.

Authors:  Belal Neyazi; Vanessa M Swiatek; Martin Skalej; Oliver Beuing; Klaus-Peter Stein; Jörg Hattingen; Bernhard Preim; Philipp Berg; Sylvia Saalfeld; I Erol Sandalcioglu
Journal:  Ther Adv Neurol Disord       Date:  2020-12-14       Impact factor: 6.570

8.  Luminal enhancement in intracranial aneurysms: fact or feature?-A quantitative multimodal flow analysis.

Authors:  Franziska Gaidzik; Mariya Pravdivtseva; Naomi Larsen; Olav Jansen; Jan-Bernd Hövener; Philipp Berg
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-09-14       Impact factor: 2.924

9.  Common Data Elements for Radiological Imaging of Patients with Subarachnoid Hemorrhage: Proposal of a Multidisciplinary Research Group.

Authors:  Nima Etminan; Colin Derdeyn; Katharina A M Hackenberg; Max Wintermark; Philip M Meyers; Giuseppe Lanzino; Daniel Rüfenacht; Timo Krings; John Huston; Gabriel Rinkel
Journal:  Neurocrit Care       Date:  2019-06       Impact factor: 3.210

10.  Epidemiological analysis of 1404 patients with intracranial aneurysm followed in a single Brazilian institution.

Authors:  Jefferson Rosi Júnior; João Paulo Mota Telles; Saul Almeida da Silva; Ricardo Ferrareto Iglesio; Mauricio Mandel Brigido; José Guilherme Mendes Pereira Caldas; Manoel Jacobsen Teixeira; Eberval Gadelha Figueiredo
Journal:  Surg Neurol Int       Date:  2019-12-20
  10 in total

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