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中文摘要
翻译
计算机辅助冠状动脉支架介入治疗
英文摘要
Computer assisted coronary artery stent interventions Summary When treating highly calcified coronary artery lesions with stents, interventional cardiologists, with limited in- formation, make stressful treatment decisions, which can lead to inadequate stent deployment and poor out- comes, or even rare calamitous events. When calcification is present, a cardiologist must choose to use a normal sized angioplasty balloon; a larger angioplasty balloon with increasingly high, prolonged pressures to fracture the calcification; a scoring or cutting balloon; any one of a number of atherectomy devices; and/or stent post-dilation balloon pressures up to 30 atm. The cardiologist must choose stent diameter and length, taking into account distal artery size, vessel taper, and extent (arc length and thickness) of calcification. Some potential negative consequences are that a stent can under deploy and/or have malapposed struts; a balloon can rupture; a vessel can dissect; or an atherectomy device can perforate the wall. Intravascular optical coher- ence tomography (IVOCT) evaluations of stent deployment show that large eccentric calcifications often lead to under deployment with malapposition of struts and small vessel dissections. To address these challenges, specific aims are: 1) Develop methods for imaging/quantifying calcifications in pre-stent images. 2) Perform ex vivo experiments to obtain detailed biomechanical data and demonstrate key issues in stent deployment. 3) Develop well-validated, lesion specific FEM models. 4) Use in silico experiments and physical measure- ments to elucidate issues in stent deployment and establish guidelines for treatment. With success, the project will lead to future decision-support software for live-time treatment planning from IVOCT or other imaging mo- dalities. The project team will build on expertise in interventions, quantitative image analysis of IVOCT, and fi- nite element modeling.
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Magnetic Resonance Imaging Guided Robotic Catheter System for Left Atrial Appendage Occlusion Procedures
  • 批准号:
    10666474
  • 项目类别:
  • 资助金额:
    $84.61万
  • 财政年份:
    2022
  • 负责人:
    Hiram Bezerra
  • 依托单位:
Computer assisted coronary artery stent interventions
  • 批准号:
    10201734
  • 项目类别:
  • 资助金额:
    $68.9万
  • 财政年份:
    2018
  • 负责人:
    Hiram Bezerra
  • 依托单位:
In vivo Characterization of Stents using Intravascular OCT Imaging
  • 批准号:
    8529140
  • 项目类别:
  • 资助金额:
    $41.29万
  • 财政年份:
    2013
  • 负责人:
    Hiram Bezerra
  • 依托单位:
In vivo Characterization of Stents using Intravascular OCT Imaging
  • 批准号:
    9097737
  • 项目类别:
  • 资助金额:
    $44.74万
  • 财政年份:
    2013
  • 负责人:
    Hiram Bezerra
  • 依托单位:
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