In silico predictions of action potential propagation in doxorubicin cardiotoxicity: A parametric study using preclinical 3D magnetic resonance imaging-based fibrotic left ventricle models

[EN] Doxorubicin (DOX) is a widely used chemotherapeutic agent, but its cardiotoxic effects, including diffuse myocardial fibrosis, increase the risk of dangerous arrhythmias. There is a critical need for non-invasive tools to predict DOX-related ventricular arrhythmias in early chronic stages follo...

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Detalles Bibliográficos
Autores: Villar-Valero, Javier|||0009-0003-1889-0515, Trenor Gomis, Beatriz Ana|||0000-0001-9166-6112, Rodríguez Padilla, Jairo, Cedilnik, Nicolas, Ly, Buntheng, Gomez, Juan F., Sermesant, Maxime, Pop, Mihaela
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/232272
Acceso en línea:https://riunet.upv.es/handle/10251/232272
Access Level:acceso abierto
Palabra clave:Cardiac modelling
Cardiotoxicity
Computational electrophysiology
Doxorubicin
Reentrant arrhythmias
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Descripción
Sumario:[EN] Doxorubicin (DOX) is a widely used chemotherapeutic agent, but its cardiotoxic effects, including diffuse myocardial fibrosis, increase the risk of dangerous arrhythmias. There is a critical need for non-invasive tools to predict DOX-related ventricular arrhythmias in early chronic stages following chemotherapy. A computational study was performed using experimental data from three pigs: one control and two at 9 weeks following DOX. Customized 3D left ventricular (LV) models were generated from late gadolinium-enhanced magnetic resonance imaging and electro-anatomical maps, integrating tissue structure, electrical properties (healthy/fibrosis) and fibre directions. Action potential (AP) wave propagation was simulated using a high-performance numerical solver. A virtual programmed stimulation protocol was applied in 96 simulations to assess arrhythmia inducibility, varying the parameters corresponding to excitability and conduction velocity in fibrotic zones. Arrhythmias were inducible only in DOX-treated cases. Reentrant wave genesis depended on: excitability, conduction velocity, fibrosis distribution and AP duration heterogeneity. In one scenario, AP heterogeneities and a ¿70% reduction in diffusion coefficient were required to induce reentry despite unchanged excitability in fibrosis. This study presents the first computational simulation of DOX-induced cardiotoxicity in a realistic 3D LV model using a highly efficient, automated Lattice¿Boltzmann approach. Our findings provide insights into arrhythmogenic mechanisms and may aid in developing strategies to prevent and treat DOX-related cardiotoxicity.