Author, as appears in the article.: Valen-Sendstad K; Bergersen AW; Shimogonya Y; Goubergrits L; Bruening J; Pallares J; Cito S; Piskin S; Pekkan K; Geers AJ; Larrabide I; Rapaka S; Mihalef V; Fu W; Qiao A; Jain K; Roller S; Mardal KA; Kamakoti R; Spirka T; Ashton N; Revell A; Aristokleous N; Houston JG; Tsuji M; Ishida F; Menon PG; Browne LD; Broderick S; Shojima M; Koizumi S; Barbour M; Aliseda A; Morales HG; Lefèvre T; Hodis S; Al-Smadi YM; Tran JS; Marsden AL; Vaippummadhom S; Valen-Sendstad K; Bergersen AW; Shimogonya Y; Goubergrits L; Bruening J; Pallares J; Cito S; Piskin S; Pekkan K; Geers AJ; Larrabide I; Rapaka S; Mihalef V; Fu W; Qiao A
Department: Enginyeria Mecànica
URV's Author/s: Cito, Salvatore / Pallarés Curto, Jorge María
Keywords: Wall shear stress Uncertainty quantification Rupture risk Patient-specific modelling Intracranial aneurysm
Abstract: © 2018, The Author(s). Purpose: 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 the variability of predicted WSS and inconsistent associations with rupture. Previous challenges, and studies from individual groups, have focused on individual aspects of the image-based CFD pipeline. The aim of this Challenge was to quantify the total variability of the whole pipeline. Methods: 3D rotational angiography image volumes of five middle cerebral artery aneurysms were provided to participants, who were free to choose their segmentation methods, boundary conditions, and CFD solver and settings. Participants were asked to fill out a questionnaire about their solution strategies and experience with aneurysm CFD, and provide surface distributions of WSS magnitude, from which we objectively derived a variety of hemodynamic parameters. Results: A total of 28 datasets were submitted, from 26 teams with varying levels of self-assessed experience. Wide variability of segmentations, CFD model extents, and inflow rates resulted in interquartile ranges of sac average WSS up to 56%, which reduced to < 30% after normalizing by parent artery WSS. Sac-maximum WSS and low shear area were more variable, while rank-ordering of cases by low or high shear showed only modest consensus among teams. Experience was not a significant predictor of variability. Conclusions: Wide variability exists in the prediction of intracranial aneurysm WSS. While segmentation and CFD solver techniques may be difficult to standardize across groups, our findings suggest that some of the variability in image-based CFD could be reduced by establishing guidelines for model extents, inflow rates, and blood properties, and by encouraging the reporting of normalized hemodynamic parameters.
Thematic Areas: Engineering, biomedical Cardiology and cardiovascular medicine Cardiac & cardiovascular systems Biomedical engineering
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1869-408X
Author's mail: salvatore.cito@urv.cat jordi.pallares@urv.cat
Author identifier: 0000-0001-7626-3374 0000-0003-0305-2714
Record's date: 2024-09-07
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Cardiovascular Engineering And Technology. 9 (4): 544-564
APA: Valen-Sendstad K; Bergersen AW; Shimogonya Y; Goubergrits L; Bruening J; Pallares J; Cito S; Piskin S; Pekkan K; Geers AJ; Larrabide I; Rapaka S; Miha (2018). Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge. Cardiovascular Engineering And Technology, 9(4), 544-564. DOI: 10.1007/s13239-018-00374-2
Entity: Universitat Rovira i Virgili
Journal publication year: 2018
Publication Type: Journal Publications
Repositori URV