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Article ; Online: Personalized biomechanical insights in atrial fibrillation: opportunities & challenges.

Telle, Åshild / Bargellini, Clarissa / Chahine, Yaacoub / Del Álamo, Juan C / Akoum, Nazem / Boyle, Patrick M

Expert review of cardiovascular therapy

2023  Volume 21, Issue 11, Page(s) 817–837

Abstract: Introduction: Atrial fibrillation (AF) is an increasingly prevalent and significant worldwide health problem. Manifested as an irregular atrial electrophysiological activation, it is associated with many serious health complications. AF affects the ... ...

Abstract Introduction: Atrial fibrillation (AF) is an increasingly prevalent and significant worldwide health problem. Manifested as an irregular atrial electrophysiological activation, it is associated with many serious health complications. AF affects the biomechanical function of the heart as contraction follows the electrical activation, subsequently leading to reduced blood flow. The underlying mechanisms behind AF are not fully understood, but it is known that AF is highly correlated with the presence of atrial fibrosis, and with a manifold increase in risk of stroke.
Areas covered: In this review, we focus on biomechanical aspects in atrial fibrillation, current and emerging use of clinical images, and personalized computational models. We also discuss how these can be used to provide patient-specific care.
Expert opinion: Understanding the connection betweenatrial fibrillation and atrial remodeling might lead to valuable understanding of stroke and heart failure pathophysiology. Established and emerging imaging modalities can bring us closer to this understanding, especially with continued advancements in processing accuracy, reproducibility, and clinical relevance of the associated technologies. Computational models of cardiac electromechanics can be used to glean additional insights on the roles of AF and remodeling in heart function.
MeSH term(s) Humans ; Atrial Fibrillation ; Reproducibility of Results ; Heart Atria ; Fibrosis ; Stroke/etiology ; Stroke/prevention & control
Language English
Publishing date 2023-12-10
Publishing country England
Document type Journal Article ; Review
ZDB-ID 2192343-7
ISSN 1744-8344 ; 1477-9072
ISSN (online) 1744-8344
ISSN 1477-9072
DOI 10.1080/14779072.2023.2273896
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