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A review on the reliability of hemodynamic modeling in intracranial aneurysms: why computational fluid dynamics alone cannot solve the equation

https://doi.org/10.3171/2019.4.focus19181

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cnm.2461openalex-snapshot

Sensitivity to outflow boundary conditions and level of geometry description for a cerebral aneurysm

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Non‐Newtonian versus numerical rheology: Practical impact of shear‐thinning on the prediction of stable and unstable flows in intracranial aneurysms

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Modeling hemodynamics in intracranial aneurysms: Comparing accuracy of CFD solvers based on finite element and finite volume schemes

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Virtual endovascular treatment of intracranial aneurysms: models and uncertainty

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Flow Dynamics of Aneurysm Growth and Rupture: Challenges for the Development of Computational Flow Dynamics as a Diagnostic Tool to Detect Rupture-Prone Aneurysms

inferredcites →https://doi.org/10.1007/s00234-018-2135-9openalex-snapshot

Associations of hemodynamics, morphology, and patient characteristics with aneurysm rupture stratified by aneurysm location

inferredcites →https://doi.org/10.1007/s10439-012-0632-2openalex-snapshot

Biomechanical Assessment of the Individual Risk of Rupture of Cerebral Aneurysms: A Proof of Concept

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pyNS: An Open-Source Framework for 0D Haemodynamic Modelling

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Estimation of Inlet Flow Rates for Image-Based Aneurysm CFD Models: Where and How to Begin?

inferredcites →https://doi.org/10.1007/s11517-017-1617-yopenalex-snapshot

Minimizing the blood velocity differences between phase-contrast magnetic resonance imaging and computational fluid dynamics simulation in cerebral arteries and aneurysms

inferredcites →https://doi.org/10.1007/s11548-018-1848-xopenalex-snapshot

Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters

inferredcites →https://doi.org/10.1007/s13239-018-00374-2openalex-snapshot

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

inferredcites →https://doi.org/10.1007/s13239-018-00376-0openalex-snapshot

Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation

inferredcites →https://doi.org/10.1007/s13239-018-00393-zopenalex-snapshot

Editorial: Special Issue on Verification, Validation, and Uncertainty Quantification of Cardiovascular Models: Towards Effective VVUQ for Translating Cardiovascular Modelling to Clinical Utility

inferredcites →https://doi.org/10.1016/j.jbiomech.2011.08.015openalex-snapshot

Direct numerical simulation of transitional flow in a patient-specific intracranial aneurysm

inferredcites →https://doi.org/10.1016/j.jbiomech.2012.07.030openalex-snapshot

Grid convergence errors in hemodynamic solution of patient-specific cerebral aneurysms

inferredcites →https://doi.org/10.1016/j.jbiomech.2013.06.034openalex-snapshot

Newtonian and non-Newtonian blood flow in coiled cerebral aneurysms

inferredcites →https://doi.org/10.1016/j.jbiomech.2013.09.033openalex-snapshot

Approximating hemodynamics of cerebral aneurysms with steady flow simulations

inferredcites →https://doi.org/10.1016/j.jbiomech.2013.12.035openalex-snapshot

Image segmentation methods for intracranial aneurysm haemodynamic research

inferredcites →https://doi.org/10.1016/j.jbiomech.2014.04.018openalex-snapshot

High-resolution computational fluid dynamics detects flow instabilities in the carotid siphon: Implications for aneurysm initiation and rupture?

inferredcites →https://doi.org/10.1016/j.jbiomech.2014.09.034openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.jbiomech.2015.09.039openalex-snapshot

An automatic CFD-based flow diverter optimization principle for patient-specific intracranial aneurysms

inferredcites →https://doi.org/10.1016/j.jbiomech.2016.09.031openalex-snapshot

Sensitivity of flow patterns in aneurysms on the anterior communicating artery to anatomic variations of the cerebral arterial network

inferredcites →https://doi.org/10.1016/j.jbiomech.2016.10.005openalex-snapshot

Uncertainty quantification of wall shear stress in intracranial aneurysms using a data-driven statistical model of systemic blood flow variability

inferredcites →https://doi.org/10.1016/j.jbiomech.2016.12.004openalex-snapshot

Improved reduced-order modelling of cerebrovascular flow distribution by accounting for arterial bifurcation pressure drops

inferredcites →https://doi.org/10.1016/j.jbiomech.2017.03.020openalex-snapshot

Cerebral aneurysm blood flow simulations are sensitive to basic solver settings

inferredcites →https://doi.org/10.1016/j.jbiomech.2017.04.039openalex-snapshot

Cerebral aneurysm blood flow simulations: There’s solver settings and then there’s solver settings

inferredcites →https://doi.org/10.1016/j.jbiomech.2017.05.004openalex-snapshot

Merging computational fluid dynamics and 4D Flow MRI using proper orthogonal decomposition and ridge regression

inferredcites →https://doi.org/10.1016/j.jbiomech.2018.03.014openalex-snapshot

Flow instability detected in ruptured versus unruptured cerebral aneurysms at the internal carotid artery

inferredcites →https://doi.org/10.1016/j.jbiomech.2018.10.014openalex-snapshot

Quantitative assessment of 4D hemodynamics in cerebral aneurysms using proper orthogonal decomposition

inferredcites →https://doi.org/10.1016/s1474-4422(14)70015-8openalex-snapshot

Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening

inferredcites →https://doi.org/10.1073/pnas.12.3.207openalex-snapshot

The Physiological Principle of Minimum Work

inferredcites →https://doi.org/10.1088/0967-3334/31/3/002openalex-snapshot

Characterization of volumetric flow rate waveforms at the carotid bifurcations of older adults

inferredcites →https://doi.org/10.1088/1361-6579/aa92bfopenalex-snapshot

Vessel calibre and flow splitting relationships at the internal carotid artery terminal bifurcation

inferredcites →https://doi.org/10.1088/1361-6579/aa9f46openalex-snapshot

A data-driven approach for addressing the lack of flow waveform data in studies of cerebral arterial flow in older adults*

inferredcites →https://doi.org/10.1093/jnen/nly068openalex-snapshot

Macrophage Infiltration in the Saccular Intracranial Aneurysm Wall as a Response to Locally Lysed Erythrocytes That Promote Degeneration

inferredcites →https://doi.org/10.1097/md.0000000000010771openalex-snapshot

Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm

inferredcites →https://doi.org/10.1109/tmi.2009.2021652openalex-snapshot

A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms

inferredcites →https://doi.org/10.1111/cgf.13411openalex-snapshot

Explorative Blood Flow Visualization using Dynamic Line Filtering based on Surface Features

inferredcites →https://doi.org/10.1115/1.4007279openalex-snapshot

Exploring High Frequency Temporal Fluctuations in the Terminal Aneurysm of the Basilar Bifurcation

inferredcites →https://doi.org/10.1115/1.4023382openalex-snapshot

Variability of Computational Fluid Dynamics Solutions for Pressure and Flow in a Giant Aneurysm: The ASME 2012 Summer Bioengineering Conference CFD Challenge

inferredcites →https://doi.org/10.1115/1.4026108openalex-snapshot

Cerebral Blood Flow in a Healthy Circle of Willis and Two Intracranial Aneurysms: Computational Fluid Dynamics Versus Four-Dimensional Phase-Contrast Magnetic Resonance Imaging

inferredcites →https://doi.org/10.1115/1.4028946openalex-snapshot

A Review of Computational Hemodynamics in Middle Cerebral Aneurysms and Rheological Models for Blood Flow

inferredcites →https://doi.org/10.1115/1.4031794openalex-snapshot

The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms

inferredcites →https://doi.org/10.1136/jnis.2009.002055openalex-snapshot

Inflammatory changes in the aneurysm wall: a review

inferredcites →https://doi.org/10.1136/jnis.2009.002055.repopenalex-snapshot

Inflammatory changes in the aneurysm wall: a review

inferredcites →https://doi.org/10.1136/neurintsurg-2014-011218openalex-snapshot

Rupture Resemblance Score (RRS): toward risk stratification of unruptured intracranial aneurysms using hemodynamic–morphological discriminants

inferredcites →https://doi.org/10.1136/neurintsurg-2017-012996openalex-snapshot

Does the DSA reconstruction kernel affect hemodynamic predictions in intracranial aneurysms? An analysis of geometry and blood flow variations

inferredcites →https://doi.org/10.1136/neurintsurg-2018-013921openalex-snapshot

Comparison of intracranial aneurysm flow quantification techniques: standard PIV vs stereoscopic PIV vs tomographic PIV vs phase-contrast MRI vs CFD

inferredcites →https://doi.org/10.1142/s0219519418500434openalex-snapshot

NEWTONIAN AND NON-NEWTONIAN BLOOD FLOW AT A 90∘-BIFURCATION OF THE CEREBRAL ARTERY: A COMPARATIVE STUDY OF FLUID VISCOSITY MODELS

inferredcites →https://doi.org/10.1155/2014/653845openalex-snapshot

Modeling Requirements for Computer Simulation of Cerebral Aneurysm

inferredcites →https://doi.org/10.1155/2016/9854539openalex-snapshot

Fluid-Structure Simulations of a Ruptured Intracranial Aneurysm: Constant versus Patient-Specific Wall Thickness

inferredcites →https://doi.org/10.1161/01.str.31.2.392openalex-snapshot

Risk Factors for Multiple Intracranial Aneurysms

inferredcites →https://doi.org/10.1161/strokeaha.118.022315openalex-snapshot

Intravascular Optical Coherence Tomography for Neurointerventional Surgery

inferredcites →https://doi.org/10.1186/s12938-019-0657-yopenalex-snapshot

Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): uncertainty quantification of geometric rupture risk parameters

inferredcites →https://doi.org/10.1186/s40809-016-0016-3openalex-snapshot

Imaging of cerebral aneurysms: a clinical perspective

inferredcites →https://doi.org/10.1227/neu.0000000000000167openalex-snapshot

Benefit of a Sharp Computed Tomography Angiography Reconstruction Kernel for Improved Characterization of Intracranial Aneurysms

inferredcites →https://doi.org/10.1371/journal.pone.0177566openalex-snapshot

Robustness of common hemodynamic indicators with respect to numerical resolution in 38 middle cerebral artery aneurysms

inferredcites →https://doi.org/10.1515/bmt-2012-0119openalex-snapshot

Recommendations for accurate numerical blood flow simulations of stented intracranial aneurysms

inferredcites →https://doi.org/10.3171/2018.8.focus18332openalex-snapshot

Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning

inferredcites →https://doi.org/10.3174/ajnr.a2306openalex-snapshot

Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study

inferredcites →https://doi.org/10.3174/ajnr.a2419openalex-snapshot

Quantitative Characterization of the Hemodynamic Environment in Ruptured and Unruptured Brain Aneurysms

inferredcites →https://doi.org/10.3174/ajnr.a2537openalex-snapshot

Identifying “Truth” in Computational Fluid Dynamics Research: Fig 1.

inferredcites →https://doi.org/10.3174/ajnr.a3179openalex-snapshot

Intracranial Aneurysm Neck Size Overestimation with 3D Rotational Angiography: The Impact on Intra-Aneurysmal Hemodynamics Simulated with Computational Fluid Dynamics

inferredcites →https://doi.org/10.3174/ajnr.a3678openalex-snapshot

Quantifying the Large-Scale Hemodynamics of Intracranial Aneurysms

inferredcites →https://doi.org/10.3174/ajnr.a3793openalex-snapshot

Mind the Gap: Impact of Computational Fluid Dynamics Solution Strategy on Prediction of Intracranial Aneurysm Hemodynamics and Rupture Status Indicators

inferredcites →https://doi.org/10.3174/ajnr.a4157openalex-snapshot

The Computational Fluid Dynamics Rupture Challenge 2013—Phase I: Prediction of Rupture Status in Intracranial Aneurysms

inferredcites →https://doi.org/10.3174/ajnr.a4179openalex-snapshot

Artery Length Sensitivity in Patient-Specific Cerebral Aneurysm Simulations

inferredcites →https://doi.org/10.3174/ajnr.a4358openalex-snapshot

Wall Mechanical Properties and Hemodynamics of Unruptured Intracranial Aneurysms

inferredcites →https://doi.org/10.3174/ajnr.a4933openalex-snapshot

Does Arterial Flow Rate Affect the Assessment of Flow-Diverter Stent Performance?

inferredcites →https://doi.org/10.3174/ajnr.a4951openalex-snapshot

Flow Conditions in the Intracranial Aneurysm Lumen Are Associated with Inflammation and Degenerative Changes of the Aneurysm Wall

inferredcites →https://doi.org/10.3174/ajnr.a5484openalex-snapshot

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

inferredcites →https://doi.org/10.3174/ajnr.a5970openalex-snapshot

Local Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm Wall.

inferredcites →https://doi.org/10.3389/fphys.2018.00681openalex-snapshot

A Highly Automated Computational Method for Modeling of Intracranial Aneurysm Hemodynamics

inferredcites →https://doi.org/10.4028/www.scientific.net/amm.819.366openalex-snapshot

Effects of Non-Newtonian Viscosity on the Hemodynamics of Cerebral Aneurysms

inferredcites →https://doi.org/10.5277/abb-00373-2015-03openalex-snapshot

Patient-specific hemodynamics and stress-strain state of cerebral aneurysms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Input Parameterized Physics Informed Neural Network for Advanced 4d Flow MRI Processing

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Pseudo‐Enhancement in Intracranial Aneurysms on Black‐Blood MRI : Effects of Flow Rate, Spatial Resolution, and Additional Flow Suppression

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Toward Good Simulation Practice

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Model Credibility

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Computational Fluid Dynamic Simulations of Cerebral Aneurysms

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57. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie e. V.

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Discrimination of intracranial aneurysm rupture status: patient-specific inflow boundary may not be a must-have condition in hemodynamic simulations

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Influence of blood viscosity models and boundary conditions on the computation of hemodynamic parameters in cerebral aneurysms using computational fluid dynamics

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Fast simulation of hemodynamics in intracranial aneurysms for clinical use

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Comparison of computational fluid dynamics with transcranial Doppler ultrasound in response to physiological stimuli

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CFD investigations of a shape-memory polymer foam-based endovascular embolization device for the treatment of intracranial aneurysms

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Multimodal exploration of the intracranial aneurysm wall

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Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR

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Modeling and Reducing the Effect of Geometric Uncertainties in Intracranial Aneurysms with Polynomial Chaos Expansion, Data Decomposition, and 4D-Flow MRI

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Aneurysm Neck Overestimation has a Relatively Modest Impact on Simulated Hemodynamics

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Is Accurate Lumen Segmentation More Important than Outlet Boundary Condition in Image-Based Blood Flow Simulations for Intracranial Aneurysms?

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Diagnostic performance of machine learning models versus established risk stratification for intracranial aneurysm rupture: a systematic review and bivariate meta-analysis

inferred← citeshttps://doi.org/10.1136/neurintsurg-2019-015389openalex-snapshot

4D-CT angiography versus 3D-rotational angiography as the imaging modality for computational fluid dynamics of cerebral aneurysms

inferred← citeshttps://doi.org/10.1136/neurintsurg-2020-015993openalex-snapshot

How patient-specific do internal carotid artery inflow rates need to be for computational fluid dynamics of cerebral aneurysms?

inferred← citeshttps://doi.org/10.1146/annurev-bioeng-092419-061429openalex-snapshot

Hemodynamics of Cerebral Aneurysms: Connecting Medical Imaging and Biomechanical Analysis

inferred← citeshttps://doi.org/10.1177/1756286420966159openalex-snapshot

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

inferred← citeshttps://doi.org/10.1186/s41747-023-00370-9openalex-snapshot

The influence of contralateral circulation on computational fluid dynamics of intracranial arteries: simulated versus measured flow velocities

inferred← citeshttps://doi.org/10.1227/neu.0000000000003531openalex-snapshot

Machine Learning–Based Rupture Risk Prediction for Intracranial Aneurysms: A Systematic Review and Meta-Analysis

inferred← citeshttps://doi.org/10.12700/aph.20.8.2023.8.2openalex-snapshot

Computer-aided Design and Manufacturing of a Patented, Left Ventricle Assist Device Positioning Tool – 3D Navigated Surgical Treatment of End-Stage Heart Failure

inferred← citeshttps://doi.org/10.1371/journal.pone.0245337openalex-snapshot

Middle cerebral artery pressure laterality in patients with symptomatic ICA stenosis

inferred← citeshttps://doi.org/10.2463/mrms.mp.2023-0016openalex-snapshot

Verifying the Accuracy of Hemodynamic Analysis Using High Spatial Resolution 3D Phase-contrast MR Imaging on a 7T MR System: Comparison with a 3T System

inferred← citeshttps://doi.org/10.3171/2019.9.focus19573openalex-snapshot

Letter to the Editor. The missing piece to solve the equation

inferred← citeshttps://doi.org/10.32604/mcb.2020.08750openalex-snapshot

A Patient-Specific Computational Fluid Dynamic Model of Middle Cerebral Artery Aneurysm Before and One Year After Surgery

inferred← citeshttps://doi.org/10.3384/diss.diva-175193openalex-snapshot

Turbulence Descriptors in Arterial Flows : Patient-Specific Computational Hemodynamics

inferred← citeshttps://doi.org/10.3389/fbioe.2022.835347openalex-snapshot

Patient-Specific Cerebral Blood Flow Simulation Based on Commonly Available Clinical Datasets

inferred← citeshttps://doi.org/10.3389/fcvm.2022.793072openalex-snapshot

Imaging Modalities for Intracranial Aneurysm: More Than Meets the Eye

inferred← citeshttps://doi.org/10.3389/fneur.2021.771694openalex-snapshot

Can Endovascular Treatment of Fusiform Intracranial Aneurysms Restore the Healthy Hemodynamic Environment?–A Virtual Pilot Study

inferred← citeshttps://doi.org/10.3389/fneur.2022.985573openalex-snapshot

A web-based dynamic nomogram for rupture risk of posterior communicating artery aneurysms utilizing clinical, morphological, and hemodynamic characteristics

inferred← citeshttps://doi.org/10.3389/fneur.2022.998557openalex-snapshot

A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms

inferred← citeshttps://doi.org/10.3389/fneur.2023.1230402openalex-snapshot

Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy

inferred← citeshttps://doi.org/10.3389/fphys.2022.1084202openalex-snapshot

Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size

inferred← citeshttps://doi.org/10.3389/fphys.2023.1157787openalex-snapshot

Global tendencies and frontier topics in hemodynamics research of intracranial aneurysms: a bibliometric analysis from 1999 to 2022

inferred← citeshttps://doi.org/10.3390/app11062595openalex-snapshot

Study of the Hemodynamics Effects of an Isolated Systolic Hypertension (ISH) Condition on Cerebral Aneurysms Models, Using FSI Simulations

inferred← citeshttps://doi.org/10.3390/bioengineering11010072openalex-snapshot

Multi-Dimensional Modeling of Cerebral Hemodynamics: A Systematic Review

inferred← citeshttps://doi.org/10.3390/bioengineering12030305openalex-snapshot

Investigating Delayed Rupture of Flow Diverter-Treated Giant Aneurysm Using Simulated Fluid–Structure Interactions

inferred← citeshttps://doi.org/10.3390/brainsci16080830openalex-snapshot

Hemodynamic Impact of Morphological Changes in Intracranial Aneurysms Treated with the Contour Neurovascular System: A Pilot In Silico Study

inferred← citeshttps://doi.org/10.3390/fluids6010011openalex-snapshot

Model Verification and Error Sensitivity of Turbulence-Related Tensor Characteristics in Pulsatile Blood Flow Simulations

inferred← citeshttps://doi.org/10.3390/fluids9010001openalex-snapshot

Evaluating the Impact of Domain Boundaries on Hemodynamics in Intracranial Aneurysms within the Circle of Willis

inferred← citeshttps://doi.org/10.3390/fluids9100227openalex-snapshot

Image-Based Computational and Experimental Biomedical Flows

inferred← citeshttps://doi.org/10.3390/jcm14082638openalex-snapshot

Feasibility Study for Multimodal Image-Based Assessment of Patient-Specific Intracranial Arteriovenous Malformation Hemodynamics

inferred← citeshttps://doi.org/10.3390/jpm12061008openalex-snapshot

The Role of Hemodynamics through the Circle of Willis in the Development of Intracranial Aneurysm: A Systematic Review of Numerical Models

inferred← citeshttps://doi.org/10.3390/medicina60111820openalex-snapshot

Advancements in Brain Aneurysm Management: Integrating Neuroanatomy, Physiopathology, and Neurosurgical Techniques

inferred← citeshttps://doi.org/10.3390/pr9030447openalex-snapshot

Digital Twins for Tissue Culture Techniques—Concepts, Expectations, and State of the Art

inferred← citeshttps://doi.org/10.48550/arxiv.2007.13411openalex-snapshot

Intracranial hemodynamics simulations: An efficient and accurate immersed boundary scheme

inferred← citeshttps://doi.org/10.70675/82159e05z3ff8z41a2zbe6az1839913f6940openalex-snapshot

Hemodynamic Modelling and Simulation of Flow Diverters for Intracranial Aneurysm Treatment

inferred← citeshttps://doi.org/10.70675/b7d8a742zf2b5z4e68zbce8zcff5000e0a9dopenalex-snapshot

Exploring the impact of arterial wall movement on intracranial aneurysm haemodynamics using fluid-structure interaction simulation

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.