Schmidt Ehud J, Halperin Henry R
Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Int J Cardiovasc Imaging. 2018 Jan;34(1):81-95. doi: 10.1007/s10554-017-1179-y. Epub 2017 Jun 7.
We review the utilization of magnetic resonance imaging methods for classifying atrial tissue properties that act as a substrate for common cardiac arrhythmias, such as atrial fibrillation. We then review state-of-the-art methods for mapping this substrate as a predicate for treatment, as well as methods used to ablate the electrical pathways that cause arrhythmia and restore patients to sinus rhythm.
我们回顾了磁共振成像方法在对心房组织特性进行分类方面的应用,这些特性是常见心律失常(如心房颤动)的基础。然后,我们回顾了用于绘制该基质以指导治疗的最新方法,以及用于消融导致心律失常的电通路并使患者恢复窦性心律的方法。