Reducing Variability in Hepatic Shear Wave Elastography

减少肝脏剪切波弹性成像的变异性

基本信息

  • 批准号:
    9269212
  • 负责人:
  • 金额:
    $ 19.74万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-07-01 至 2020-06-30
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Shear wave elastography (SWE) of the liver is a new technology that has been shown to be useful for distinguishing early from advanced liver fibrosis. At present, interobserver variability limits the use of shear wave elastography for precise staging and serial monitoring of the progression of diffuse liver disease. The broad research goal of this proposal is to reduce shear wave elastography variability. The research has two specific aims. [Aim 1 is to create a new system - hardware and algorithms - by (1) integrating two previously developed systems: (a) a force-measurement (FM) ultrasound probe system, which measures and displays applied transducer force (preload) in real-time, permitting the operator to precisely control applied preload, and (b) an optical tracking system (OTS), which precisely localizes a transducer relative to skin markings, facilitating precise software-based co-registration of shear wave elastograms, and (2) creating new algorithms to process data generated by the integrated FM/OTS device.] In Aim 2 Dr. Samir will perform a clinical trial in thirty human subjects testing the performance of FM/OTS enhanced SWE against the reference standard of histopathologically staged liver fibrosis. Career development goals: Immediate and long-term. Dr. Samir's short-term goal is to acquire additional technical skills and advanced clinical trial skills through the combination of device design, fabrication, and software development under the guidance of MED- RC faculty, particularly Dr. Brian Anthony, and advanced clinical trial skills under the supervision of Raymond Chung MD, who is an expert in Hepatology research. Dr. Ralph Weissleder MD PhD and Dr. Bruce Rosen MD PhD, both well-known experts in Radiology research, will mentor Dr. Samir throughout his training program in order to facilitate his long-term objective, which is to become an independently funded investigator leading a laboratory focused on rapid development and translation of medical ultrasound technology.


项目成果

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Anthony Edward Samir其他文献

Anthony Edward Samir的其他文献

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{{ truncateString('Anthony Edward Samir', 18)}}的其他基金

Development of a Machine Learning Model to Integrate Clinical, Laboratory, Sonographic, and Elastographic Data for Noninvasive Liver Tissue Characterization in NAFLD
开发机器学习模型来整合临床、实验室、超声和弹性成像数据,用于 NAFLD 的无创性肝组织表征
  • 批准号:
    10542745
  • 财政年份:
    2019
  • 资助金额:
    $ 19.74万
  • 项目类别:
Development of a Machine Learning Model to Integrate Clinical, Laboratory, Sonographic, and Elastographic Data for Noninvasive Liver Tissue Characterization in NAFLD
开发机器学习模型来整合临床、实验室、超声和弹性成像数据,用于 NAFLD 的无创性肝组织表征
  • 批准号:
    10321558
  • 财政年份:
    2019
  • 资助金额:
    $ 19.74万
  • 项目类别:
Reducing Variability in Hepatic Shear Wave Elastography
减少肝脏剪切波弹性成像的变异性
  • 批准号:
    9109220
  • 财政年份:
    2016
  • 资助金额:
    $ 19.74万
  • 项目类别:

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