Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia
Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia
复制标题
DOI:
10.1093/europace/euw358
复制
发表时间:
2016-12-01
期刊:
影响因子:
6.1
通讯作者:
Trayanova, Natalia A.
中科院分区:
文献类型:
--
作者:
Boyle, Patrick M.;Zahid, Sohail;Trayanova, Natalia A.
Atrial arrhythmias involving a fibrotic substrate are an important cause of morbidity and mortality. In many cases, effective treatment of such rhythm disorders is severely hindered by a lack of mechanistic understanding relating features of fibrotic remodelling to dynamics of re-entrant arrhythmia. With the advent of clinical imaging modalities capable of resolving the unique fibrosis spatial pattern present in the atria of each individual patient, a promising new research trajectory has emerged in which personalized computational models are used to analyse mechanistic underpinnings of arrhythmia dynamics based on the distribution of fibrotic tissue. In this review, we first present findings that have yielded a robust and detailed biophysical representation of fibrotic substrate electrophysiological properties. Then, we summarize the results of several recent investigations seeking to use organ-scale models of the fibrotic human atria to derive new insights on mechanisms of arrhythmia perpetuation and to develop novel strategies for model-assisted individualized planning of catheter ablation procedures for atrial arrhythmias.