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Time-Resolved 129Xe Ventilation-Perfusion MRI in Models of Acute Lung Injury

Time-Resolved 129Xe Ventilation-Perfusion MRI in Models of Acute Lung Injury
急性肺损伤模型中的时间分辨 129Xe 通气-灌注 MRI
批准号:
8989245
负责人:
ZACKARY I CLEVELAND
金额:
$24.9万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-01 至 2018-07-31

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中文摘要
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英文摘要
Despite decades of research, incidence and mortality in Acute Lung Injury (ALI) remain high, and relationships between the cellular and molecular details of ALI and their physiological manifestations remain poorly under- stood. While these details can be elucidated using small animal models, the physiological consequences are difficult to quantify, because current measures of lung function in rodents provide inadequate temporal and spatial resolution. Moreover, this methodological gap represents a substantial barrier to preclinically assessing the efficacy of ALI treatments. The long-term goal of this research is to develop an imaging modality that can quantify all spatial and temporal aspects of pulmonary function in small animal models of ALI by using a single agent—hyperpolarized (HP) 129Xe—to rapidly image pulmonary ventilation (V) and perfusion (Q). The objective of this application is to use 3D 129Xe magnetic resonance imaging (MRI) to quantitatively map the V/Q ratio in rats and measure spatial and temporal changes in the V/Q distribution following injury. The central hypothesis underlying this proposal is that MR images obtained after inhaling 129Xe and during extracorporeal (EC) infu- sion of 129Xe into the blood will be able to rapidly visualize the 3D, V/Q distribution. This hypothesis is based on a detailed model of HP 129Xe signal dynamics and preliminary data demonstrating 3D, 129Xe MR images that reflect V and Q. The rationale for the proposed research is that V/Q mismatching is known from clinical trials to be exceedingly important in the pathological progression of ALI. Thus, V/Q matching must be assessed to fully characterize small animal models of injury and test potential treatments. Guided by strong preliminary data, our central hypothesis will be tested by the following three Specific Aims: 1) optimize the spatial and temporal reso- lution of HP 129Xe V/Q MRI and establish the baseline V/Q distribution in healthy rats; 2) test the ability of gas- phase 129Xe MRI to follow V/Q evolution after injury in airway and vascular occlusion models; and 3) develop dissolved 129Xe MRI during EC infusion and test the ability of this technique to detect perfusion in an ALI mod- el, when hypoxic vasoconstriction is impaired. Specifically, Aim 3 will test the hypothesis that dissolved 129Xe MRI can visualize impaired hypoxic vasoconstriction after nonselective vasodilation in a saline lavage model of ALI. Aim 1 will be conducted in the Mentored Phase (K99) of this Pathway to Independence Award, and Aim 3 will be conducted primarily in the Independent Phase (R00). The research proposed in Aim 2 will be split be- tween the K99 and R00 phases. The proposed research is innovative in that it will enable repeated, 3D map- ping of the V/Q distribution with isotropic (~1 mm) resolution in rat models of ALI within minutes, using a single agent. The proposed research is significant because it will enable previously inaccessible aspects of pathology that are known to be important in clinical ALI, namely the V/Q distribution, to be quantified in small animals. Ultimately, the methodological advances made possible by the proposed research will enable more complete validation of rodent models of ALI and establish a preclinical platform for evaluating ALI treatments.
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Imaging and Molecular Phenotyping of Cystic Fibrosis Lung Disease
  • 批准号:
    10339411
  • 项目类别:
  • 资助金额:
    $78.96万
  • 财政年份:
    2021
  • 负责人:
    ZACKARY I CLEVELAND
  • 依托单位:
Imaging and Molecular Phenotyping of Cystic Fibrosis Lung Disease
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  • 项目类别:
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  • 财政年份:
    2019
  • 负责人:
    ZACKARY I CLEVELAND
  • 依托单位:
Validating Quantitative Magnetic Resonance Imaging Biomarkers of Idiopathic Pulmonary Fibrosis
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  • 项目类别:
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    $74.37万
  • 财政年份:
    2019
  • 负责人:
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