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Development of a patient-specific predictive tool and a regulatory testing machine for transcatheter heart valve replacement

Development of a patient-specific predictive tool and a regulatory testing machine for transcatheter heart valve replacement
开发用于经导管心脏瓣膜置换术的患者特异性预测工具和监管测试机
批准号:
537352-2018
负责人:
KeshavarzMotamed, Zahra
金额:
$11.2万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
翻译
心血管疾病是全球死亡的主要原因,夺去的生命比所有形式的癌症加起来还要多。在加拿大,每四个死亡中就有一个死于心血管疾病。这是医疗保健负担的主要原因,每年使加拿大经济损失超过220亿加元。瓣膜病是最严重的心血管疾病之一。直到最近,高风险的瓣膜病患者除了外科主动脉瓣置换术外别无选择,该手术具有高死亡率。经导管瓣膜置换术(TVR)是一种新兴的微创器械。虽然许多患者在TVR干预后经历了显著的改善,但对于其他患者来说,情况明显改善。 因此,迫切需要一种预测工具,该工具能够在实际干预之前评估每个患者的TVR干预场景,以避免不可逆的后果。这种工具将预测干预措施的有效性,允许对可能的临床解决方案进行系统测试,从而实现干预措施的个性化。此外,TVR(和其他人工瓣膜)的制造商必须在将其器械投放市场之前验证其设计和耐用性。尽管它的重要性,没有现实的监管TVR测试机。为了满足这些需求,我们将开发一个平台,用于两个目标: 1.作为计划临床干预的预测工具:该工具将能够测试TVR干预方案的效果,以患者特定的方式纠正每个患者身体上的瓣膜疾病。 2.作为监管医疗器械测试机器:该机器可以通过在体外执行许多重要的体内评估程序来满足医疗器械公司的测试需求,并将显着减少对动物研究和人体试验的需求,因此它可以显着加快器械审批流程,并减少新器械的上市时间和上市成本。
英文摘要
Cardiovascular disease is the leading cause of death globally and claims more lives than all forms of cancer combined. In Canada, one in every four deaths is from cardiovascular disease. It is the leading cause of burden on healthcare costing the Canadian economy more than $22 billion every year. Valvular disease is one of the most serious cardiovascular problems. Until recently, high-risk patients with valvular disease had no other option than the surgical aortic valve replacement procedure, which has a high mortality rate. Transcatheter valve replacement (TVR) is an emerging minimally invasive device. While many patients experience a significant improvement after TVR intervention, for others the situation worsens significantly. Therefore, there is a crucial need for a predictive tool which has the capability of evaluating TVR intervention scenarios in each patient before the actual intervention to avoid irreversible consequences. Such tool would predict effectiveness of interventions, allowing systematic testing of possible clinical solutions, and thus enable personalization of interventions. Moreover, manufacturers of TVR (and other artificial valves) must validate the design and durability of their devices before releasing them to the market. Despite its importance, there exists no realistic regulatory TVR testing machine. To address these needs, we will develop a platform to be used for two objectives: 1. As a predictive tool for planning clinical interventions: The tool will have the capability testing of effects of TVR intervention scenarios for correcting valvular diseases on the body of each patient body in a patient-specific manner. 2. As a regulatory medical-device testing machine: This machine can serve testing needs of medical-device companies by making it possible to perform many important in vivo evaluation routines in vitro and will significantly reduce the need for animal studies and human trials so it can significantly speed up the device approval process and reduce the time-to-market and cost-to-market for new devices.
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Development of diagnostic and predictive computational mechanics methods for cardiovascular system
  • 批准号:
    RGPIN-2017-05349
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.37万
  • 财政年份:
    2022
  • 负责人:
    KeshavarzMotamed, Zahra
  • 依托单位:
Development of a patient-specific predictive tool and a regulatory testing machine for transcatheter heart valve replacement
  • 批准号:
    537352-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $5.92万
  • 财政年份:
    2021
  • 负责人:
    KeshavarzMotamed, Zahra
  • 依托单位:
Development of diagnostic and predictive computational mechanics methods for cardiovascular system
  • 批准号:
    RGPIN-2017-05349
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2021
  • 负责人:
    KeshavarzMotamed, Zahra
  • 依托单位:
Development of diagnostic and predictive computational mechanics methods for cardiovascular system
  • 批准号:
    RGPIN-2017-05349
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2020
  • 负责人:
    KeshavarzMotamed, Zahra
  • 依托单位:
海外基金