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Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value

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Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value

dc.contributor.author	Salinet, João
dc.contributor.author	Molero, Rubén
dc.contributor.author	Schlindwein, Fernando S.
dc.contributor.author	Karel, Joël
dc.contributor.author	Rodrigo Bort, Miguel
dc.contributor.author	Rojo-Álvarez, José Luis
dc.contributor.author	Berenfeld, Omer
dc.contributor.author	Climent, Andreu M.
dc.contributor.author	Zenger, Brian
dc.contributor.author	Vanheusden, Frederique
dc.contributor.author	Siles Paredes, Jimena Gabriela
dc.contributor.author	MacLeod, Rob
dc.contributor.author	Atienza, Felipe
dc.contributor.author	Guillem, María S.
dc.contributor.author	Cluitmans, Matthijs
dc.contributor.author	Bonizzi, Pietro
dc.date.accessioned	2022-05-13T14:17:36Z
dc.date.available	2022-05-13T14:17:36Z
dc.date.issued	2021
dc.identifier.citation	Salinet, João Molero, Rubén Schlindwein, Fernando S. Karel, Joël Rodrigo Bort, Miguel Rojo-Álvarez, José Luis Berenfeld, Omer Climent, Andreu M. Zenger, Brian Vanheusden, Frederique Siles Paredes, Jimena Gabriela MacLeod, Rob Atienza, Felipe Guillem, María S. Cluitmans, Matthijs Bonizzi, Pietro 2021 Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value Frontiers In Physiology 12 653013
dc.identifier.uri	https://hdl.handle.net/10550/82768
dc.description.abstract	Electrocardiographic imaging (ECGI) is a technique to reconstruct non-invasively the electrical activity on the heart surface from body-surface potential recordings and geometric information of the torso and the heart. ECGI has shown scientific and clinical value when used to characterize and treat both atrial and ventricular arrhythmias. Regarding atrial fibrillation (AF), the characterization of the electrical propagation and the underlying substrate favoring AF is inherently more challenging than for ventricular arrhythmias, due to the progressive and heterogeneous nature of the disease and its manifestation, the small volume and wall thickness of the atria, and the relatively large role of microstructural abnormalities in AF. At the same time, ECGI has the advantage over other mapping technologies of allowing a global characterization of atrial electrical activity at every atrial beat and non-invasively. However, since ECGI is time-consuming and costly and the use of electrical mapping to guide AF ablation is still not fully established, the clinical value of ECGI for AF is still under assessment. Nonetheless, AF is known to be the manifestation of a complex interaction between electrical and structural abnormalities and therefore, true electro-anatomical-structural imaging may elucidate important key factors of AF development, progression, and treatment. Therefore, it is paramount to identify which clinical questions could be successfully addressed by ECGI when it comes to AF characterization and treatment, and which questions may be beyond its technical limitations. In this manuscript we review the questions that researchers have tried to address on the use of ECGI for AF characterization and treatment guidance (for example, localization of AF triggers and sustaining mechanisms), and we discuss the technological requirements and validation. We address experimental and clinical results, limitations, and future challenges for fruitful application of ECGI for AF understanding and management. We pay attention to existing techniques and clinical application, to computer models and (animal or human) experiments, to challenges of methodological and clinical validation. The overall objective of the study is to provide a consensus on valuable directions that ECGI research may take to provide future improvements in AF characterization and treatment guidance.
dc.language.iso	eng
dc.relation.ispartof	Frontiers In Physiology, 2021, vol. 12, num. 653013
dc.subject	Imatges tridimensionals en medicina
dc.subject	Sistema cardiovascular
dc.subject	Enginyeria biomèdica
dc.title	Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value
dc.type	journal article	es_ES
dc.date.updated	2022-05-13T14:17:36Z
dc.identifier.doi	10.3389/fphys.2021.653013
dc.identifier.idgrec	152894
dc.rights.accessRights	open access	es_ES