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Real-world variability in the prediction of intracranial aneurysm wall shear stress: The 2015 International Aneurysm CFD Challenge

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dc.contributor.author Valen_Sendstad, Kristian
dc.contributor.author Bergersen, Aslak W.
dc.contributor.author Shimogonya, Yugi
dc.contributor.author Goubergrits, Leonid
dc.contributor.author Bruening, Jan
dc.contributor.author Pallares, Jordi
dc.contributor.author Cito, Salvatore
dc.contributor.author Piskin, Senol
dc.contributor.author Pekkan, Kerem
dc.contributor.author Geers, Ardan J.
dc.contributor.author Larrabide, Ignacio
dc.contributor.author Rapaka, Saikiran
dc.contributor.author Mihalef, Viorel
dc.contributor.author Fu, Wenyu
dc.contributor.author Qiao, Aike
dc.contributor.author Jain, Kartik
dc.contributor.author Roller, Sabine
dc.contributor.author Mardal, Kent-Andre
dc.contributor.author Kamokoti, Ramji
dc.contributor.author Spirka, Thomas
dc.contributor.author Ashton, Neil
dc.contributor.author Revell, Alistair
dc.contributor.author Aristokleous, Nicolas
dc.contributor.author Houston, Graeme J
dc.contributor.author Tsuji, Masanori
dc.contributor.author Ishida, Fujimaro
dc.contributor.author Menon, Prahlad G.
dc.contributor.author Browne, Leonard D.
dc.contributor.author Broderick, Stephen
dc.contributor.author Shojima, Masaaki
dc.contributor.author Koizumi, Satoshi
dc.contributor.author Barbour, Michael
dc.contributor.author Aliseda, Alberto
dc.contributor.author Morales, Hernán G.
dc.contributor.author Lefèvre, Thierry
dc.contributor.author Hodis, Simona
dc.contributor.author Al-Smadi, Yahia
dc.contributor.author Tran, Justin S.
dc.contributor.author Marsden, Alison L.
dc.contributor.author Vaippummadhom, Sreeja
dc.contributor.author Einstein, Albert G.
dc.contributor.author Brown, Alistair G
dc.contributor.author Debus, Kristian
dc.contributor.author Niizuma, Kuniyasu
dc.contributor.author Rashad, Sherif
dc.contributor.author Sugiyama, Shin-Ichiro
dc.contributor.author Khan, Owais M.
dc.contributor.author Updegrove, Adam R.
dc.contributor.author Shadden, Shawn C.
dc.contributor.author Cornelissen, Bart M.W.
dc.contributor.author Majoie, Charles B.L.M.
dc.contributor.author Berg, Philip
dc.contributor.author Saalfield, Sylvia
dc.contributor.author Kono, Kenichi
dc.contributor.author Steinman, David A.
dc.date.accessioned 2019-01-03T08:59:36Z
dc.date.available 2019-01-03T08:59:36Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/10344/7441
dc.description peer-reviewed en_US
dc.description.abstract 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. en_US
dc.language.iso eng en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Cardiovascular Engineering and Technology;9 (4), pp. 544-564
dc.relation.uri https://doi.org/10.1007/s13239-018-00374-2
dc.subject intracranial aneurysm en_US
dc.subject patient-specific modelling en_US
dc.subject wall shear stress en_US
dc.subject rupture risk en_US
dc.subject uncertainty quantification. en_US
dc.title Real-world variability in the prediction of intracranial aneurysm wall shear stress: The 2015 International Aneurysm CFD Challenge en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1007/s13239-018-00374-2
dc.contributor.sponsor Norges Forskningsrad en_US
dc.contributor.sponsor Heart and Stroke Foundation of Canada en_US
dc.relation.projectid 179578 en_US
dc.relation.projectid 203489/O30 en_US
dc.relation.projectid 262827 en_US
dc.relation.projectid MC7455 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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