首页> 外国专利> RISK STRATIFICATION FOR VENTRICULAR ARRHYTHMIA IN PATIENTS WITH REPAIRED TETRALOGY OF FALLOT (TOF) VIA IMAGE-BASED COMPUTATIONAL SIMULATIONS

RISK STRATIFICATION FOR VENTRICULAR ARRHYTHMIA IN PATIENTS WITH REPAIRED TETRALOGY OF FALLOT (TOF) VIA IMAGE-BASED COMPUTATIONAL SIMULATIONS

机译:基于图像的计算模拟对代步(TOF)肢体修复的患者室性心律失常的危险分层

摘要

An embodiment in accordance with the present invention provides a non-invasive solution to risk stratify the risk of arrhythmia in patients with TOF. Currently, no reliable method for non-invasive risk stratification exists. In the realm of congenital heart disease, cardiac MRI is now used routinely for patients with Tetralogy of Fallot (TOF), the most common form of cyanotic congenital heart disease. An innovative platform for using clinical MRI data to create 3D electromechanical models of the heart enables predictions of whether or not patients with ischemic heart disease have the substrate for arrhythmia and what their relative risk for such an event is. An embodiment of the current invention provides a non-invasive solution to risk stratify the risk of arrhythmia in patients with TOF. Currently, no reliable method for non-invasive risk stratification exists.
机译:根据本发明的实施例提供了一种非侵入性解决方案,以对TOF患者的心律失常的风险进行风险分层。当前,不存在用于非侵入性风险分层的可靠方法。在先天性心脏病领域,现在对患有法洛四联症(TOF)(发cyan性先天性心脏病的最常见形式)的患者常规使用心脏MRI。使用临床MRI数据创建心脏的3D机电模型的创新平台可以预测缺血性心脏病患者是否患有心律不齐以及他们发生此类事件的相对风险。本发明的一个实施方案提供了一种非侵入性解决方案,以将TOF患者的心律失常的风险分层。当前,不存在用于非侵入性风险分层的可靠方法。

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