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Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy

机译:心脏的个性化机电模型,用于预测心脏再同步治疗的急性作用

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Cardiac resynchronisation therapy (CRT) has been shown to be an effective adjunctive treatment for patients with dyssynchronous ventricular contraction and symptoms of the heart failure. However, clinical trials have also demonstrated that up to 30% of patients may be classified as non-responders. In this article, we present how the personalisation of an electromechanical model of the myocardium could help the therapy planning for CRT. We describe the four main components of our myocardial model, namely the anatomy, the electrophysiology, the kinematics and the mechanics. For each of these components we combine prior knowledge and observable parameters in order to personalise these models to patient data. Then the acute effects of a pacemaker on the cardiac function are predicted with the in silico model on a clinical case. This is a proof of concept of the potential of virtual physiological models to better select and plan the therapy.
机译:心脏再同步治疗(CRT)已被证明是对心室不同步收缩和心力衰竭症状的患者的有效辅助治疗。但是,临床试验也表明,多达30%的患者可以归类为无反应者。在本文中,我们介绍了心肌机电模型的个性化如何有助于CRT的治疗计划。我们描述了我们的心肌模型的四个主要组成部分,即解剖结构,电生理,运动学和力学。对于这些组件中的每一个,我们都结合了先验知识和可观察到的参数,以便将这些模型个性化为患者数据。然后,在临床案例中使用计算机模拟模型预测起搏器对心脏功能的急性影响。这是虚拟生理模型更好地选择和计划治疗的潜力的概念证明。

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