Constructing bilayer and volumetric atrial models at scale.
| Title: | Constructing bilayer and volumetric atrial models at scale. |
|---|---|
| Authors: | Roney CH; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; Solis Lemus JA; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; National Heart and Lung Institute, Imperial College London, London, UK.; Lopez Barrera C; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; Center for Research in Advanced Materials S.C (CIMAV), Chihuahua, Mexico.; Zolotarev A; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; Ulgen O; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; Kerfoot E; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; Bevis L; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; Misghina S; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; Vidal Horrach C; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; Jaffery OA; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; Ehnesh M; School of Engineering and Materials Science, Queen Mary University of London, London, UK.; Rodero C; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; National Heart and Lung Institute, Imperial College London, London, UK.; Dharmaprani D; College of Medicine and Public Health, Flinders University, Adelaide, Australia.; Ríos-Muñoz GR; Bioengineering Department, Universidad Carlos III de Madrid, Madrid 28911, Spain.; Department of Cardiology, Gregorio Marañón Health Research Institute (IiSGM), Hospital General Universitario Gregorio Marañón, Madrid 28007, Spain.; Center for Biomedical Research in Cardiovascular Disease Network (CIBERCV), Madrid 28029, Spain.; Ganesan A; College of Medicine and Public Health, Flinders University, Adelaide, Australia.; Good WW; R&D Algorithms, Acutus Medical, Carlsbad, CA, USA.; Neic A; NumeriCor GmbH, Graz, Austria.; Plank G; Gottfried Schatz Research Center-Biophysics, Medical University of Graz, Graz, Austria.; BioTechMed-Graz, Graz, Austria.; Hopman LHGA; Department of Cardiology, Amsterdam UMC, Amsterdam, The Netherlands.; Götte MJW; Department of Cardiology, Amsterdam UMC, Amsterdam, The Netherlands.; Honarbakhsh S; Electrophysiology Department, Barts Heart Centre, Barts Health NHS Trust, London, UK.; Narayan SM; Department of Medicine and Cardiovascular Institute, Stanford University, Palo Alto, CA, USA.; Vigmond E; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.; IMB, UMR 5251, University Bordeaux, Talence 33400, France.; Niederer S; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; National Heart and Lung Institute, Imperial College London, London, UK.; Turing Research and Innovation Cluster in Digital Twins (TRIC: DT), The Alan Turing Institute, London, UK. |
| Source: | Interface focus [Interface Focus] 2023 Dec 15; Vol. 13 (6), pp. 20230038. Date of Electronic Publication: 2023 Dec 15 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Royal Society Country of Publication: England NLM ID: 101531990 Publication Model: eCollection Cited Medium: Print ISSN: 2042-8898 (Print) Linking ISSN: 20428898 NLM ISO Abbreviation: Interface Focus Subsets: PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: London : Royal Society, 2011- |
| 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).; (© 2023 The Authors.) |
| Competing Interests: | We declare we have no competing interests. |
| References: | Prog Biomed Eng (Bristol). 2023 Jul 1;5(3):032004. (PMID: 37360227); SoftwareX. 2020 Jan-Jun;11:100454. (PMID: 32607406); Front Physiol. 2020 Sep 16;11:1145. (PMID: 33041850); PLoS Comput Biol. 2021 Apr 15;17(4):e1008851. (PMID: 33857152); Philos Trans A Math Phys Eng Sci. 2011 Nov 13;369(1954):4331-51. (PMID: 21969679); SoftwareX. 2020 Jul 31;12:100570. (PMID: 34124331); J Physiol. 2023 Sep;601(18):4013-4032. (PMID: 37475475); Eur Heart J Cardiovasc Imaging. 2023 Feb 17;24(3):336-345. (PMID: 35921538); Nat Biomed Eng. 2019 Nov;3(11):870-879. (PMID: 31427780); Europace. 2014 Nov;16 Suppl 4:iv21-iv29. (PMID: 25362166); Comput Biol Med. 2023 Aug;162:107009. (PMID: 37301099); IEEE Trans Biomed Eng. 2023 May;70(5):1611-1621. (PMID: 36399589); Eur Heart J. 2015 Sep 14;36(35):2390-401. (PMID: 26059724); Circ Arrhythm Electrophysiol. 2022 Feb;15(2):e010253. (PMID: 35089057); Front Physiol. 2016 Apr 12;7:108. (PMID: 27148061); Comput Med Imaging Graph. 2023 Sep;108:102265. (PMID: 37392493); Ann Biomed Eng. 2021 Jan;49(1):233-250. (PMID: 32458222); Eur Heart J. 2017 Jan 1;38(1):14-19. (PMID: 26409008); Europace. 2018 Nov 01;20(suppl_3):iii55-iii68. (PMID: 30476055); Med Image Anal. 2019 Jul;55:65-75. (PMID: 31026761); Circ Arrhythm Electrophysiol. 2016 Apr;9(4):e004133. (PMID: 27071829); Comput Biol Med. 2019 Jan;104:278-290. (PMID: 30415767); Comput Methods Programs Biomed. 2021 Sep;208:106223. (PMID: 34171774); Cardiovasc Res. 1999 May;42(2):477-89. (PMID: 10533583) |
| Grant Information: | FS/ICRF/22/26034 United Kingdom BHF_ British Heart Foundation; R01 HL083359 United States HL NHLBI NIH HHS; R01 HL149134 United States HL NHLBI NIH HHS; RG/20/4/34803 United Kingdom BHF_ British Heart Foundation |
| Contributed Indexing: | Keywords: cardiac arrhythmia; computational model; digital twin; in silico trial; patient-specific cardiac model |
| Entry Date(s): | Date Created: 20231218 Latest Revision: 20250530 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC10722212 |
| DOI: | 10.1098/rsfs.2023.0038 |
| PMID: | 38106921 |
| Database: | MEDLINE |
Journal Article