Patient-Specific Coronary Hemodynamics by 3D Printing

通过 3D 打印进行患者特定的冠状动脉血流动力学

基本信息

  • 批准号:
    9926910
  • 负责人:
  • 金额:
    $ 66.44万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-09-01 至 2023-04-30
  • 项目状态:
    已结题

项目摘要

ABSTRACT. Despite improvements in therapies targeted at reducing disease burden, CAD continues to afflict >16 million US adults, accounting for more than 1/3 of all deaths and responsible for ~1.2 million hospitalizations annually. Coronary revascularization remains a mainstay of treatment for CAD, with >1.2 million percutaneous interventions performed annually in the US. Prior multicenter trials have demonstrated propitious outcomes for individuals with who undergo ischemia-guided revascularization by fractional flow reserve (FFR)—an invasive “gold” standard that determines the physiologic significance of coronary stenoses. More recently we have studied the accuracy of a non-invasive CT-based alternative to FFR, termed FFRCT. While this new method is moderately accurate, it possesses several limitations such as assuming the walls of the coronaries are rigid and flow is non-pulsatile. Therefore, we have determined an alternative approach to assessing coronary hemodynamics via 3D printing, which allows physical measurements of coronary flow using realistic tissue mechanics and pulsatile flow. In this application, we will optimize the hardware, software, workflows, and analysis to build and evaluate coronary hemodynamics based on patient CT images. Extensive clinical imaging data, including 15O-H2O labeled PET imaging will be used to validate the accuracy of these models for predicting coronary hemodynamics. Finally, these 3D printed models will be used to develop clinically useful reports that can provide diagnostic determination of a patient's level of ischemia using only non-invasive CT imaging.
摘要。尽管针对减轻疾病负担的治疗方法有所改进,但CAD仍然困扰着患者

项目成果

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Simon Dunham其他文献

Simon Dunham的其他文献

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{{ truncateString('Simon Dunham', 18)}}的其他基金

Soft robotic sensor arrays for fast and efficient mapping of cardiac arrhythmias.
软机器人传感器阵列可快速有效地绘制心律失常图。
  • 批准号:
    10760164
  • 财政年份:
    2023
  • 资助金额:
    $ 66.44万
  • 项目类别:
Prototype development and validation of soft robotic sensor arrays for mapping cardiac arrhythmia
用于绘制心律失常的软机器人传感器阵列的原型开发和验证
  • 批准号:
    10722857
  • 财政年份:
    2023
  • 资助金额:
    $ 66.44万
  • 项目类别:
Prototype development and validation of soft robotic sensor arrays for mapping cardiac arrhythmia
用于绘制心律失常的软机器人传感器阵列的原型开发和验证
  • 批准号:
    10378724
  • 财政年份:
    2021
  • 资助金额:
    $ 66.44万
  • 项目类别:
Patient-Specific Coronary Hemodynamics by 3D Printing
通过 3D 打印进行患者特定的冠状动脉血流动力学
  • 批准号:
    10386845
  • 财政年份:
    2013
  • 资助金额:
    $ 66.44万
  • 项目类别:

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