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Constructing bilayer and volumetric atrial models at scale

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dc.affiliation.dptoUC3M. Departamento de Bioingenieríaes
dc.contributor.authorRoney, Caroline H.
dc.contributor.authorSolis Lemus, Jose Alonso
dc.contributor.authorLópez Barrera, Carlos
dc.contributor.authorZolotarev, Alexander
dc.contributor.authorUlgen, Onur
dc.contributor.authorKerfoot, Eric
dc.contributor.authorBevis, Laura
dc.contributor.authorMisghina, Semhar
dc.contributor.authorVidal Horrach, Caterina
dc.contributor.authorJaffery, Ovais A.
dc.contributor.authorEhnesh, Mahmoud
dc.contributor.authorRodero, Cristobal
dc.contributor.authorDharmaprani, Dhani
dc.contributor.authorRíos Muñoz, Gonzalo Ricardo
dc.contributor.authorGanesan, Anand
dc.contributor.authorGood, Wilson W
dc.contributor.authorNeic, Aurel
dc.contributor.authorPlanck, Gernot
dc.contributor.authorHopman, Luuk H G A
dc.contributor.authorGötte, Marco J. W.
dc.contributor.authorHonarbakhsh, Shohreh
dc.contributor.authorNarayan, Sanjiv M
dc.contributor.authorVigmond, Edward
dc.contributor.authorNiederer, Steven
dc.date.accessioned2024-02-05T08:28:59Z
dc.date.available2024-02-05T08:28:59Z
dc.date.issued2023-12-15
dc.description.abstractTo enable large in silico trials and personalized model predictions on clinical timescales, it is imperative that models can be constructed quickly and reproducibly. First, we aimed to overcome the challenges of constructing cardiac models at scale through developing a robust, open-source pipeline for bilayer and volumetric atrial models. Second, we aimed to investigate the effects of fibres, fibrosis and model representation on fibrillatory dynamics. To construct bilayer and volumetric models, we extended our previously developed coordinate system to incorporate transmurality, atrial regions and fibres (rule-based or data driven diffusion tensor magnetic resonance imaging (MRI)). We created a cohort of 1000 biatrial bilayer and volumetric models derived from computed tomography (CT) data, as well as models from MRI, and electroanatomical mapping. Fibrillatory dynamics diverged between bilayer and volumetric simulations across the CT cohort (correlation coefficient for phase singularity maps: left atrial (LA) 0.27 ± 0.19, right atrial (RA) 0.41 ± 0.14). Adding fibrotic remodelling stabilized re-entries and reduced the impact of model type (LA: 0.52 ± 0.20, RA: 0.36 ± 0.18). The choice of fibre field has a small effect on paced activation data (less than 12 ms), but a larger effect on fibrillatory dynamics. Overall, we developed an open-source user-friendly pipeline for generating atrial models from imaging or electroanatomical mapping data enabling in silico clinical trials at scale (https://github.com/pcmlab/atrialmtk).en
dc.description.sponsorshipC.H.R. acknowledges support from a UKRI Future Leaders Fellowship (grant no. MR/W004720/1). The team acknowledge Archer2 simulation funding. O.A.J. acknowledges funding for his PhD studentship from Acutus Medical. W.W.G. is an employee and shareholder of Acutus Medical. The research described herein was not influenced by this employment and no conflict of interest exists. C.R. receives funding from the British Heart Foundation (grant no. RG/ 20/4/34 803). This work was also supported by the Wellcome ESPRC Centre for Medical Engineering at King’s College London (grant no. WT 203148/Z/16/Z). G.P. received financial support from the Austrian Science Fund (FWF) grant no. I6476-B. C.L.B. acknowledges CONACYT for a research scholarship. D.D. and A.G. acknowledge funding as follows: Cardiovascular Health Mission Grant from the Medical Research Future Fund, and Heart Health Innovation Grant from The Hospital Research Foundation of South Australia. G.R.R.-M. acknowledges support from the Instituto de Salud Carlos III, Madrid, Spain (grant nos. PI18/01895, DTS21/00064 and PI22/01619). E.V. received financial support from the French Government as part of the ‘Investments of the Future’ programme managed by the National Research Agency (ANR), grant reference ANR-10-IAHU-04.en
dc.format.mimetypeapplication/pdfen
dc.identifier.bibliographicCitationRoney, C. H., Solis Lemus, J. A., Lopez Barrera, C., Zolotarev, A., Ulgen, O., Kerfoot, E., Bevis, L., Misghina, S., Vidal Horrach, C., Jaffery, O. A., Ehnesh, M., Rodero, C., Dharmaprani, D., Ríos-Muñoz, G. R., Ganesan, A., Good, W. W., Neic, A., Plank, G., Hopman, L. H. G. A., … Niederer, S. (2023). Constructing bilayer and volumetric atrial models at scale. Interface Focus 13(6)es
dc.identifier.doihttps://doi.org/10.1098/rsfs.2023.0038
dc.identifier.issn2042-8898
dc.identifier.publicationfirstpage20230038es
dc.identifier.publicationissue6es
dc.identifier.publicationtitleInterface Focusen
dc.identifier.publicationvolume13es
dc.identifier.urihttps://hdl.handle.net/10016/39813
dc.identifier.uxxiAR/0000033961
dc.language.isoengen
dc.publisherThe Royal Societyen
dc.rights© 2023 The Authorsen
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.otherCardiac arrhythmiaen
dc.subject.otherComputational modelen
dc.subject.otherIn silico trialen
dc.subject.otherPatient-specific cardiac modelen
dc.subject.otherDigital twinen
dc.titleConstructing bilayer and volumetric atrial models at scaleen
dc.typeresearch articleen
dc.type.hasVersionVoRen
dspace.entity.typePublication
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