Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge
Patient-Specific Modeling
Middle Cerebral Artery
Artificial intelligence
/dk/atira/pure/subjectarea/asjc/2200/2204
Wall Shear Stress
Rotational angiography
FOS: Mechanical engineering
Computational fluid dynamics
Oceanography
Wall shear stress
Segmentation
Engineering
0302 clinical medicine
https://purl.org/becyt/ford/1.2
UNCERTAINTY QUANTIFICATION
Uncertainty quantification
Physics
Models, Cardiovascular
Angiography
Geology
Prognosis
Mechanical engineering
Programming language
3. Good health
Aerospace engineering
Neurology
Solver
Cerebrovascular Circulation
Radiographic Image Interpretation, Computer-Assisted
Medicine
PATIENT-SPECIFIC MODELLING
Radiology
Blood Flow Velocity
name=Cardiology and Cardiovascular Medicine
Pulmonary and Respiratory Medicine
Patient-specific modelling
610
/dk/atira/pure/subjectarea/asjc/2700/2705
RUPTURE RISK
Mechanics
Article
Pathophysiology and Management of Cerebral Aneurysms
03 medical and health sciences
Imaging, Three-Dimensional
Rupture risk
Predictive Value of Tests
WALL SHEAR STRESS
616
Health Sciences
Aneurysm Screening
Humans
INTRACRANIAL ANEURYSM
Inflow
https://purl.org/becyt/ford/1
name=Biomedical Engineering
Shear stress
Hemodynamics
Reproducibility of Results
Intracranial Aneurysm
FOS: Earth and related environmental sciences
Intracranial aneurysm
Diagnosis and Treatment of Carotid Artery Disease
Aneurysm
Computer science
Management and Pathophysiology of Abdominal Aortic Aneurysms
Intracranial Aneurysms
Cerebral Angiography
Regional Blood Flow
Pipeline (software)
Stress, Mechanical
DOI:
10.1007/s13239-018-00374-2
Publication Date:
2018-09-10T11:39:41Z
AUTHORS (55)
ABSTRACT
Image-based computational fluid dynamics (CFD) is widely used to predict intracranial aneurysm wall shear stress (WSS), particularly with the goal of improving rupture risk assessment. Nevertheless, concern has been expressed over variability predicted WSS and inconsistent associations rupture. Previous challenges, studies from individual groups, have focused on aspects image-based CFD pipeline. The aim this Challenge was quantify total whole 3D rotational angiography image volumes five middle cerebral artery aneurysms were provided participants, who free choose their segmentation methods, boundary conditions, solver settings. Participants asked fill out a questionnaire about solution strategies experience CFD, provide surface distributions magnitude, which we objectively derived variety hemodynamic parameters. A 28 datasets submitted, 26 teams varying levels self-assessed experience. Wide segmentations, model extents, inflow rates resulted in interquartile ranges sac average up 56%, reduced < 30% after normalizing by parent WSS. Sac-maximum low area more variable, while rank-ordering cases or high showed only modest consensus among teams. Experience not significant predictor variability. exists prediction While techniques may be difficult standardize across our findings suggest that some could establishing guidelines for rates, blood properties, encouraging reporting normalized
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