Predicting Stroke Risk in Intracranial Atherosclerotic Disease with Novel High Resolution,Functional and Molecular MRI Techniques - Resubmission - 1

利用新型高分辨率、功能性和分子 MRI 技术预测颅内动脉粥样硬化疾病的中风风险 - 重新提交 - 1

基本信息

  • 批准号:
    10472015
  • 负责人:
  • 金额:
    $ 56.09万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-01 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

Project Summary/Abstract The long-term goal of this work is to reduce the incident of stroke by identifying the most vulnerable patients using MRI scans. Currently roughly 1 of every 8 patient who have had an initial stroke from intracranial atherosclerosis disease (ICAD) will suffer a second stroke within a year. Patients who are likely to fail medical management have loss of cerebrovascular reserve, poor collateral arterial blood supply, and/or plaque that is vulnerable to rupture from active macrophage infiltration. Our goal is to identify vulnerable patients to inform the selection for new medical management protocols, stenting or stent-less angioplasty. We will develop a suite of new MRI scans and evaluate them in the intended patient population, comparing to reference standard CO2 Challenge CVR, HMPAO SPECT or direct imaging of active macrophages. Significance: ICAD is one of the most common causes of stroke worldwide and carries an extremely a high risk of recurrent stroke. ICAD patients with severe stenosis (70 to 99%) are at particularly high risk for recurrent stroke in the vascular territory of the stenosis (~12 to 20% within 12 months) despite treatment with aspirin, Plavix and management of risk factors (hypertension, smoking etc). The use of new, preventative treatment including angioplasty, new anti-platelet medication would benefit if the most vulnerable patient can be identified. Our imaging biomarkers will improve risk stratification for the of stroke in a vulnerable, high risk population. Innovation: We have developed time resolve MRI scans that are targeted to risk factor of stroke in ICAD: (1) Cardiac Gated “Snapshot” images of transient changes in the cerebral vasculature in response to arterial pressure changes induced by the cardiac cycle. These changes are muted by a loss of cerebrovascular reserve a risk fact of stroke. (2) A new mathematical deconvolution algorithm based on linear time-invariant system theory to quantify perfusion supplied to a vascular bed through collateral arterial blood supply distal to a stenosis. (3) First ever high-resolution permeability of the intracranial arterial walls to identify macrophage infiltration. Scientific Rigor: The geometry of the human head and topology of the vasculature are unique, and we therefore perform all our studies in the intended patient population: humans with ICAD. To ensure scientific rigor, we will compare directly to reference standard values of CO2 cerebrovascular reserve, collateral arterial supply, and macrophage infiltration in plaques. Probability of Success: We have built a strong, multi-disciplinary team with a long track record of successful, collaborative neurovascular research. We believe this high probability of successful completion of the aims and high likelihood of clinical translation.
项目总结/摘要 这项工作的长期目标是通过识别最脆弱的患者来减少中风的发生 使用核磁共振扫描。目前,大约每8名患者中就有1名患有颅内动脉瘤的初次卒中。 动脉粥样硬化性疾病(ICAD)患者将在一年内遭受第二次中风。有可能在医疗过程中失败的患者 管理有脑血管储备损失,不良侧支动脉血液供应,和/或斑块, 容易因活跃的巨噬细胞浸润而破裂。我们的目标是确定脆弱的病人, 选择新的医疗管理方案,支架或无支架血管成形术。我们将开发一套 新的MRI扫描,并在预期患者人群中对其进行评价,与参考标准CO2进行比较 激发CVR、HMPAO SPECT或活性巨噬细胞的直接成像。 重要性:ICAD是全球中风最常见的原因之一,具有极高的风险 复发性中风严重狭窄(70 - 99%)的ICAD患者复发的风险特别高, 尽管接受了阿司匹林治疗,狭窄血管区域仍发生卒中(12个月内约12 - 20%), 血小板减少和风险因素管理(高血压、吸烟等)。使用新的预防性治疗 包括血管成形术,如果能够确定最脆弱的病人,新的抗血小板药物将受益。 我们的影像学生物标志物将改善脆弱、高危人群中卒中的风险分层, 人口 创新:我们开发了针对ICAD中风风险因素的时间分辨MRI扫描: (1)心脏门控“快照”图像,显示脑血管系统对动脉 由心动周期引起的压力变化。这些变化被脑血管的损失所掩盖 保留中风的危险因素。 (2)一种新的基于线性时不变系统理论的数学反卷积算法 通过狭窄远端的侧支动脉血液供应提供给血管床的灌注。 (3)首次通过颅内动脉壁的高分辨率渗透性来识别巨噬细胞浸润。 科学严谨性:人类头部的几何形状和脉管系统的拓扑结构是独特的,因此, 在预期患者人群中进行我们的所有研究:患有ICAD的人类。为了确保科学严谨,我们将 直接与CO2脑血管储备、侧支动脉供应的参考标准值进行比较, 斑块中巨噬细胞浸润。 成功的可能性:我们已经建立了一个强大的,多学科的团队,具有长期的成功记录, 神经血管合作研究我们认为,成功完成目标的可能性很高, 临床翻译的可能性很高。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Rock and a Hard Place: Benefit and Risk in the Evolving Practice of Endovascular Therapy for Intracranial Atherosclerotic Stenosis.
进退维谷:颅内动脉粥样硬化性狭窄血管内治疗实践不断发展的益处和风险。
  • DOI:
    10.1148/radiol.230493
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    19.7
  • 作者:
    Russell,EricJ
  • 通讯作者:
    Russell,EricJ
When "Deep Faking" Results Means "Improving Diagnosis".
当“深度伪造”结果意味着“改善诊断”时。
  • DOI:
    10.1148/radiol.212939
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    19.7
  • 作者:
    Carroll,TimothyJ;Hurley,MichaelC
  • 通讯作者:
    Hurley,MichaelC
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Sameer A Ansari其他文献

Sameer A Ansari的其他文献

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{{ truncateString('Sameer A Ansari', 18)}}的其他基金

Motion-Resistant Background Subtraction Angiography with Deep Learning: Real-Time, Edge Hardware Implementation and Product Development
具有深度学习的抗运动背景减影血管造影:实时、边缘硬件实施和产品开发
  • 批准号:
    10602275
  • 财政年份:
    2023
  • 资助金额:
    $ 56.09万
  • 项目类别:
Non-invasive Evaluation of Intracranial Atherosclerotic Disease Using Hemodynamic Biomarkers
使用血流动力学生物标志物对颅内动脉粥样硬化疾病进行无创评估
  • 批准号:
    10687912
  • 财政年份:
    2020
  • 资助金额:
    $ 56.09万
  • 项目类别:
Predicting Stroke Risk in Intracranial Atherosclerotic Disease with Novel High Resolution,Functional and Molecular MRI Techniques - Resubmission - 1
利用新型高分辨率、功能性和分子 MRI 技术预测颅内动脉粥样硬化疾病的中风风险 - 重新提交 - 1
  • 批准号:
    10249333
  • 财政年份:
    2020
  • 资助金额:
    $ 56.09万
  • 项目类别:
Non-invasive Evaluation of Intracranial Atherosclerotic Disease Using Hemodynamic Biomarkers
使用血流动力学生物标志物对颅内动脉粥样硬化疾病进行无创评估
  • 批准号:
    10471925
  • 财政年份:
    2020
  • 资助金额:
    $ 56.09万
  • 项目类别:
Non-invasive Evaluation of Intracranial Atherosclerotic Disease Using Hemodynamic Biomarkers
使用血流动力学生物标志物对颅内动脉粥样硬化疾病进行无创评估
  • 批准号:
    10248545
  • 财政年份:
    2020
  • 资助金额:
    $ 56.09万
  • 项目类别:
Predicting Stroke Risk in Intracranial Atherosclerotic Disease with Novel High Resolution,Functional and Molecular MRI Techniques - Resubmission - 1
利用新型高分辨率、功能性和分子 MRI 技术预测颅内动脉粥样硬化疾病的中风风险 - 重新提交 - 1
  • 批准号:
    10053118
  • 财政年份:
    2020
  • 资助金额:
    $ 56.09万
  • 项目类别:
High Resolution and Functional MRI Assessment of Intracranial Atherosclerotic Plaque
颅内动脉粥样硬化斑块的高分辨率和功能性 MRI 评估
  • 批准号:
    9260043
  • 财政年份:
    2016
  • 资助金额:
    $ 56.09万
  • 项目类别:
Risk Assessment of Cerebral Aneurysm Growth with 4D flow MRI
使用 4D 流 MRI 评估脑动脉瘤生长的风险
  • 批准号:
    10673860
  • 财政年份:
    2013
  • 资助金额:
    $ 56.09万
  • 项目类别:
Risk Assessment of Cerebral Aneurysm Growth with 4D flow MRI
使用 4D 流 MRI 评估脑动脉瘤生长的风险
  • 批准号:
    10231251
  • 财政年份:
    2013
  • 资助金额:
    $ 56.09万
  • 项目类别:
Risk Assessment of Cerebral Aneurysm Growth with 4D flow MRI
使用 4D 流 MRI 评估脑动脉瘤生长的风险
  • 批准号:
    10460348
  • 财政年份:
    2013
  • 资助金额:
    $ 56.09万
  • 项目类别:

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PREDICTING CARIES RISK IN UNDERSERVED CHILDREN, FROM TODDLERS TO THE SCHOOL-AGE YEARS, IN PRIMARY HEALTHCARE SETTINGS
预测初级医疗保健机构中从幼儿到学龄儿童的龋齿风险
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  • 批准号:
    10457019
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  • 批准号:
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  • 批准号:
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    2011
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