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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
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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
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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.
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