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Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps

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Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps

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Gómez García, JF.; Trenor Gomis, BA.; Sebastián Aguilar, R. (2020). Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps. Lecture Notes in Computer Science. 12009:342-351. https://doi.org/10.1007/978-3-030-39074-7_36

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Título: Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps
Autor: Gómez García, Juan Francisco Trenor Gomis, Beatriz Ana Sebastián Aguilar, Rafael
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà
Fecha difusión:
Resumen:
[EN] Optimization of lead placement and interventricular delay settings in patients under cardiac resynchronization therapy is a complex task that might benefit from prior information based on models. Biophysical models ...[+]
Palabras clave: Cardiac resynchronization therapy , Tissue properties personalization , Biophysical modeling
Derechos de uso: Reserva de todos los derechos
Fuente:
Lecture Notes in Computer Science. (issn: 0302-9743 )
DOI: 10.1007/978-3-030-39074-7_36
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/978-3-030-39074-7_36
Código del Proyecto:
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2016%2F088//MODELOS COMPUTACIONALES PERSONALIZADOS MULTI-ESCALA PARA LA OPTIMIZACION DEL DIAGNOSTICO Y TRATAMIENTO DE ARRITMIAS CARDIACAS (PERSONALISED DIGITAL HEART)/
info:eu-repo/grantAgreement/AEI//DPI2016-75799-R//TECNOLOGIAS COMPUTACIONALES PARA LA OPTIMIZACION DE TERAPIAS PERSONALIZADAS DE PATOLOGIAS AURICULARES Y VENTRICULARES/
Agradecimientos:
This work was supported by the "Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion 2013-2016" from the Ministerio de Economia, Industria y Competitividad of Spain and Fondo Europeo de Desarrollo Regional ...[+]
Tipo: Artículo

References

Auricchio, A., et al.: Characterization of left ventricular activation in patients with heart failure and left bundle-branch block. Circulation 109(9), 1133–9 (2004). https://doi.org/10.1161/01.CIR.0000118502.91105.F6

Bristow, M.R., et al.: Comparison of medical therapy, pacing, and defibrillation in heart failure (COMPANION) investigators: cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. N. Engl. J. Med. 350(21), 2140–50 (2004). https://doi.org/10.1056/NEJMoa032423

Carpio, E.F., et al.: Optimization of lead placement in the right ventricle during cardiac resynchronization therapy. A simulation study. Front. Physiol. 10, 74 (2019). https://doi.org/10.3389/fphys.2019.00074 [+]
Auricchio, A., et al.: Characterization of left ventricular activation in patients with heart failure and left bundle-branch block. Circulation 109(9), 1133–9 (2004). https://doi.org/10.1161/01.CIR.0000118502.91105.F6

Bristow, M.R., et al.: Comparison of medical therapy, pacing, and defibrillation in heart failure (COMPANION) investigators: cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. N. Engl. J. Med. 350(21), 2140–50 (2004). https://doi.org/10.1056/NEJMoa032423

Carpio, E.F., et al.: Optimization of lead placement in the right ventricle during cardiac resynchronization therapy. A simulation study. Front. Physiol. 10, 74 (2019). https://doi.org/10.3389/fphys.2019.00074

Dawoud, F., et al.: Non-invasive electromechanical activation imaging as a tool to study left ventricular dyssynchronous patients: implication for crt therapy. J. Electrocardiol. 49(3), 375–82 (2016). https://doi.org/10.1016/j.jelectrocard.2016.02.011

Doste, R., et al.: A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. Int. J. Numer. Method Biomed. Eng. 35(4), e3185 (2019). https://doi.org/10.1002/cnm.3185

Garcia-Bustos, V., Sebastian, R., Izquierdo, M., Molina, P., Chorro, F.J., Ruiz-Sauri, A.: A quantitative structural and morphometric analysis of the purkinje network and the purkinje-myocardial junctions in pig hearts. J. Anat. 230(5), 664–678 (2017). https://doi.org/10.1111/joa.12594

Lopez-Perez, A., Sebastian, R., Ferrero, J.M.: Three-dimensional cardiac computational modelling: methods, features and applications. Biomed. Eng. Online 14, 35 (2015). https://doi.org/10.1186/s12938-015-0033-5

Moss, A.J., et al.: MADIT-CRT trial investigators:cardiac-resynchronization therapy for the prevention of heart-failure events. N. Engl. J. Med. 361(14), 1329–38 (2009). https://doi.org/10.1056/NEJMoa0906431

Soto Iglesias, D., et al.: Quantitative analysis of electro-anatomical maps: application to an experimental model of left bundle branch block/cardiac resynchronization therapy. IEEE J. Transl. Eng. Health Med. 5, 1900215 (2017). https://doi.org/10.1109/JTEHM.2016.2634006

Tobon-Gomez, C., et al.: Understanding the mechanisms amenable to crt response: from pre-operative multimodal image data to patient-specific computational models. Med. Biol. Eng. Comput. 51(11), 1235–50 (2013). https://doi.org/10.1007/s11517-013-1044-7

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