Integrating flow imaging into patient-specific models following myocardial infarction

将血流成像整合到心肌梗死后的患者特异性模型中

• 批准号: 2274749
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2274749
• 关键词: Integrating; flow; imaging; into; patient

This project will look at some aspect of Fluid Dynamics which will be determined in more detail by the end of year oneFollowing myocardial infarction (MI) patients can experience long-term heart failure, a massive burden worldwide with an anticipated prevalence increase of 46% before 2030. Improvements towards early stratification and personalised treatments are needed. Immediately after MI, the geometry and the contraction of the left ventricle (LV) become abnormal due to the damage to the myocardium and the changes in wall architecture (i.e. LV remodelling). The mechanisms underpinning LV remodelling are not fully understood yet; in particular, the role played by the interaction between tissue deformation and intraventricular flow dynamics is yet to be clarified. There is an increasing consensus that maladaptive fluid mechanics in the LV contribute to cardiac inefficiency and participate in the modulation toward phenotypic patterns of heart failure. Specifically, the change in contraction post MI, is thought to lead to a change in LV intraventricular dynamics; as a consequence, the endocardium will experience the change in intraventricular forces perpetuating the LV remodelling. Thanks to novel Cardiac Magnetic Resonance (CMR) imaging techniques such as 4D flow and Diffusion Tensor Imaging (DTI), we now have a unique opportunity to assess changes in LV hemodynamic forces in relation to the changes of the myocardial structure post myocardial infarction. Create an integrated model of cardiac mechanics and intraventricular fluid dynamics to understand the flow-related mechanisms underlying post-MI remodelling. If successful, ultimately this will provide tools to establish a new prognostic model integrating clinical, structural and flow imaging data to guide therapies, minimise remodelling and improve patients' prognosis.

该项目将研究流体动力学的某些方面，这些方面将在今年年底之前得到更详细的确定。心肌梗死（MI）患者可能会经历长期心力衰竭，这是全球范围内的一个巨大负担，预计在2030年之前患病率将增加46%。需要改进早期分层和个性化治疗。MI后，由于心肌损伤和壁结构的变化（即LV重构），左心室（LV）的几何形状和收缩立即变得异常。支持LV重构的机制尚未完全理解;特别是，组织变形和心室内血流动力学之间的相互作用所起的作用尚未澄清。越来越多的共识是，左心室适应不良的流体力学有助于心功能不全，并参与心力衰竭表型模式的调节。具体而言，MI后收缩的变化被认为会导致LV心室内动力学的变化;因此，内皮细胞将经历心室内力的变化，从而使LV重塑持续存在。由于新的心脏磁共振（CMR）成像技术，如4D血流和扩散张量成像（DTI），我们现在有一个独特的机会来评估左心室血流动力学的变化与心肌梗死后心肌结构的变化。创建心脏力学和心室内流体动力学的综合模型，以了解MI后重塑的血流相关机制。如果成功，最终这将提供工具来建立一个新的预后模型，整合临床，结构和血流成像数据，以指导治疗，最大限度地减少重塑和改善患者的预后。