MRI Detection of CarotId Plaques as a mecHanism for Embolic strokes of undeteRmined source (MRI DECIPHER)

颈动脉斑块的 MRI 检测作为不明原因栓塞性中风的机制(MRI DECIPHER)

基本信息

  • 批准号:
    10661676
  • 负责人:
  • 金额:
    $ 69.39万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-08-15 至 2024-07-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY/ABSTRACT In one-third of strokes, a definite cause cannot be established. This proposal seeks to determine if some of these strokes in fact resulted from unrecognized atherosclerotic plaque in the arteries leading to the brain. Currently, only atherosclerotic plaques that cause significant stenosis (narrowing) of an artery are treated as the underlying cause of a stroke. However, pilot data suggest that nonstenosing plaques—plaques that have not caused arterial narrowing—can rupture and produce clots that travel downstream to block blood flow to the brain. Magnetic resonance imaging (MRI) can reliably determine which plaques have the highest risk of rupture. Such markers can identify high-risk nonstenosing plaques in the internal carotid arteries, which supply the majority of the brain's blood flow. In a patient with a stroke of unknown cause, pilot studies have found that the stroke is more likely to have occurred on the side of a carotid artery with high-risk nonstenosing plaque than on the opposite side where no high-risk plaque is present. The tendency of strokes to occur downstream of a high-risk nonstenosing plaque supports this application's hypothesis: that atherosclerotic plaque in the cerebral circulation is associated with stroke even in the absence of significant arterial narrowing. Such nonstenosing plaques may explain a substantial proportion of strokes whose cause currently seems unknown. Better recognition of these plaques may lead to better stroke prevention. Prior clinical trials found that carotid endarterectomy/stenting was not effective for preventing stroke recurrence in patients with nonstenosing plaque, and such plaques are now ignored in clinical practice. However, no trial has tested carotid endarterectomy/stenting in only those stroke patients whose nonstenosing plaque entails a stroke recurrence risk high enough that the benefits of the procedure outweigh its risks. If successful, the research proposed in this application would identify a novel stroke risk factor and establish the scientific premise for a potentially transformative therapeutic strategy. This application is for a prospective observational study of 200 patients with stroke of unknown cause. A detailed MRI protocol will be used to detect intraplaque hemorrhage, a marker of high-risk nonstenosing plaque. In 150 of the subjects, a PET/MRI study will also be performed for additional insight into high-risk features such as plaque inflammation. Aim 1 will test the hypothesis that brain infarcts will be more common on the side of a high-risk nonstenosing plaque than the opposite side. Aim 2 will test the hypothesis that in-depth stroke evaluation will less often uncover an alternative explanation in subjects with high-risk nonstenosing plaque than in those without such plaques. Aim 3 will test the hypothesis that recurrent infarction will occur more often on the same side as high-risk nonstenosing plaque than on the opposite side. Validation of these hypotheses would set the stage for a multicenter, randomized trial of carotid endarterectomy/stenting in patients with cryptogenic stroke and ipsilateral high-risk nonstenosing plaque.
项目总结/文摘

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Extracranial Vascular Disease: Carotid Stenosis and Plaque Imaging.
Carotid Artery Stiffness: Imaging Techniques and Impact on Cerebrovascular Disease.
Carotid artery plaque characteristics: current reporting practices on CT angiography.
  • DOI:
    10.1007/s00234-020-02610-w
  • 发表时间:
    2021-07
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
  • 通讯作者:
Brain imaging biomarkers of carotid artery disease.
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Ajay Gupta其他文献

Ajay Gupta的其他文献

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{{ truncateString('Ajay Gupta', 18)}}的其他基金

Development of a dry powder inhalation product against Respiratory Syncytial Virus based on an endogenous anionic pulmonary surfactant lipid
基于内源性阴离子肺表面活性剂脂质的抗呼吸道合胞病毒干粉吸入产品的开发
  • 批准号:
    10697027
  • 财政年份:
    2023
  • 资助金额:
    $ 69.39万
  • 项目类别:
Quantitative susceptibility mapping for stroke risk prediction of vulnerable carotid plaques
用于预测易损颈动脉斑块中风风险的定量敏感性图
  • 批准号:
    10446087
  • 财政年份:
    2022
  • 资助金额:
    $ 69.39万
  • 项目类别:
Quantitative Susceptibility Mapping for Stroke Risk Prediction of Vulnerable Carotid Plaques
用于预测易损颈动脉斑块中风风险的定量敏感性图
  • 批准号:
    10609912
  • 财政年份:
    2022
  • 资助金额:
    $ 69.39万
  • 项目类别:
Understanding the dynamic interactions between tau pathology and microgliamediated inflammation in Alzheimer's Disease
了解阿尔茨海默病中 tau 蛋白病理学与小胶质细胞介导的炎症之间的动态相互作用
  • 批准号:
    10622513
  • 财政年份:
    2021
  • 资助金额:
    $ 69.39万
  • 项目类别:
Understanding the dynamic interactions between tau pathology and microgliamediated inflammation in Alzheimer's Disease
了解阿尔茨海默病中 tau 蛋白病理学与小胶质细胞介导的炎症之间的动态相互作用
  • 批准号:
    10317631
  • 财政年份:
    2021
  • 资助金额:
    $ 69.39万
  • 项目类别:
Understanding the dynamic interactions between tau pathology and microgliamediated inflammation in Alzheimer's Disease
了解阿尔茨海默病中 tau 蛋白病理学与小胶质细胞介导的炎症之间的动态相互作用
  • 批准号:
    10471976
  • 财政年份:
    2021
  • 资助金额:
    $ 69.39万
  • 项目类别:
MRI Detection of CarotId Plaques as a mecHanism for Embolic strokes of undeteRmined source (MRI DECIPHER)
颈动脉斑块的 MRI 检测作为不明原因栓塞性中风的机制(MRI DECIPHER)
  • 批准号:
    10204095
  • 财政年份:
    2019
  • 资助金额:
    $ 69.39万
  • 项目类别:
A Machine Learning Approach For CTA-based Plaque Characterization and Stroke Risk Prediction in Carotid Artery Atherosclerosis
基于 CTA 的颈动脉粥样硬化斑块表征和中风风险预测的机器学习方法
  • 批准号:
    9904175
  • 财政年份:
    2019
  • 资助金额:
    $ 69.39万
  • 项目类别:
MRI Detection of CarotId Plaques as a mecHanism for Embolic strokes of undeteRmined source (MRI DECIPHER)
颈动脉斑块的 MRI 检测作为不明原因栓塞性中风的机制(MRI DECIPHER)
  • 批准号:
    10449116
  • 财政年份:
    2019
  • 资助金额:
    $ 69.39万
  • 项目类别:
Parallel Algorithms for Big Data from Mass Spectrometry based Proteomics
基于质谱的蛋白质组学大数据并行算法
  • 批准号:
    9301702
  • 财政年份:
    2017
  • 资助金额:
    $ 69.39万
  • 项目类别:

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