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中文摘要
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描述(由申请者提供):一种新的治疗方法似乎有望治疗最严重的脑癌--胶质母细胞瘤。机械地监测这些抗血管生成疗法将极大地帮助我们理解如何最好地将它们用于患者,最近的数据表明,使用基于Gd的方法用MRI测量脑血流灌注可能非常有用,特别是作为成像生物标记物。然而,没有一种单一的获取或分析方法在不同的领域或跨供应商平台进行过测试。我们建议开发跨领域优势和供应商平台兼容的收购和分析方法,并量化收购和分析方面的差异。我们将首先研究志愿者,了解现场制造商和场强的变异性。然后,我们将研究正在接受抗血管生成药物治疗的新诊断的胶质母细胞瘤患者。预计这种方法将提高灌注MRI作为一种潜在的成像生物标志物的可靠性,并为大规模、多中心试验铺平道路,从而使灌注MRI在测量肿瘤对抗血管生成治疗的反应方面的实施标准化。 与公共卫生相关:灌注MRI是一种技术,它可以提高我们提供准确诊断和预后的能力,并有可能指导新诊断和复发的脑肿瘤的治疗选择。我们提出的研究将有助于建立一种通用的标准化方法来获取和分析不同MRI机器上的灌注MRI数据,目标是最大限度地减少机器之间的差异。这将使这项技术得到更广泛的应用,并更恰当地确立其对患者的好处。
英文摘要
DESCRIPTION (provided by applicant): A new treatment appears hopeful for the most severe form of brain cancer, glioblastoma. Monitoring these antiangiogenic therapies mechanistically would greatly aid our understanding of how they might best be used in patients, and recent data suggest that measurement of brain perfusion with MRI using gadolinium-based approaches could be very useful, particularly as an imaging biomarker. However, no single methodology for acquisition or analysis has been tested in at variable field strengths or across vendor platforms. We propose to develop acquisition and analysis methods that will be compatible across field strengths and vendor platforms and quantify the differences in acquisition and analysis. We will first study volunteers to understand the on-site manufacturer and field strength variability. We will then study patients with newly diagnosed glioblastoma who are undergoing treatment with anti-angiogenic agents. It is expected that such an approach will improve the reliability of perfusion MRI as a potential imaging biomarker, and pave the way for a large-scale, multi-center trial that could standardize the implementation of perfusion MRI in measuring tumor response to anti-angiogenic therapies. PUBLIC HEALTH RELEVANCE: Perfusion MRI is a technique that may improve our ability to provide an accurate diagnosis and prognosis as well as potentially guide treatment choices for both newly diagnosed and recurrent brain tumors. Our proposed research will help establish a common, standardized approach to acquisition and analysis of perfusion MRI data across different MRI machines with a goal of minimizing variations across machines. This will enable this technique to become more widely available and more appropriately establish its benefit to patients.
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New treatment monitoring biomarkers for brain tumors using multiparametric MRI with machine learning
  • 批准号:
    10595516
  • 项目类别:
  • 资助金额:
    $53.39万
  • 财政年份:
    2021
  • 负责人:
    KATHLEEN Marie SCHMAINDA
  • 依托单位:
New treatment monitoring biomarkers for brain tumors using multiparametric MRI with machine learning
  • 批准号:
    10392483
  • 项目类别:
  • 资助金额:
    $52.63万
  • 财政年份:
    2021
  • 负责人:
    KATHLEEN Marie SCHMAINDA
  • 依托单位:
New treatment monitoring biomarkers for brain tumors using multiparametric MRI with machine learning
  • 批准号:
    10220248
  • 项目类别:
  • 资助金额:
    $54.77万
  • 财政年份:
    2021
  • 负责人:
    KATHLEEN Marie SCHMAINDA
  • 依托单位:
Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma Response
  • 批准号:
    9212106
  • 项目类别:
  • 资助金额:
    $42.2万
  • 财政年份:
    2014
  • 负责人:
    KATHLEEN Marie SCHMAINDA
  • 依托单位:
海外基金