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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Roney, CH; Solis, Lemus, JA; Lopez, Barrera, C; Zolotarev, A; Ulgen, O; Kerfoot, E; Bevis, L; Misghina, S; Vidal, Horrach, C; Jaffery, OA; Ehnesh, M; Rodero, C; Dharmaprani, D; Ríos-Muñoz, GR; Ganesan, A; Good, WW; Neic, A; Plank, G; Hopman, LHGA; Götte, MJW; Honarbakhsh, S; Narayan, SM; Vigmond, E; Niederer, S.
Constructing bilayer and volumetric atrial models at scale.
Interface Focus. 2023; 13(6): 20230038 Doi: 10.1098/rsfs.2023.0038 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Neic Aurel-Vasile
Plank Gernot
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Abstract:
To 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).

Find related publications in this database (Keywords)
cardiac arrhythmia
computational model
in silico trial
patient-specific cardiac model
digital twin
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