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
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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