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Quantitative Oncologic PET-MR

Quantitative Oncologic PET-MR
定量肿瘤学 PET-MR
批准号:
10605305
负责人:
Georges El Fakhri
金额:
$44.82万
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:
2012-05-01 至 2024-04-30

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中文摘要
翻译
项目总结 这一竞争性续订应用程序的总体目标仍然侧重于开发和利用 利用PET和MR成像之间的协同作用进行定量分子成像的生物标记物 为肉瘤的肿瘤放射治疗(RT)提供显著改进的指导。传统上,定义 放射治疗靶区的部分利用CT和(有时)MR图像来描绘可见的肉眼肿瘤 体积(GTV),根据临床情况将其扩展一定的边际以反映微观疾病 指南,形成临床靶区体积(CTV)。标准的T1/T2加权MR图像不能 区分肿瘤的浸润性和炎性,因此CTV中的水肿物是留给 医生的判断。 对于不能切除的患者,最终的RT导致失败的局部控制率仅为40%至75% 主要发生在肉眼肿瘤内。标准的解剖成像不允许识别位于 局部故障的风险。我们假设多参数PET/MR成像将有助于识别潜在的 为了给肿瘤内耐药细胞群开出更高的剂量,使这些区域增加 治疗效果。
英文摘要
PROJECT SUMMARY The overall goal of this competing renewal application remains focused on developing and leveraging quantitative molecular imaging biomarkers that take advantage of a synergy between PET and MR imaging to provide significantly improved guidance for cancer radiation therapy (RT) in sarcomas. Traditionally, definition of the radiotherapy target volume utilizes CT and (sometimes) MR images to delineate visible gross tumor volume (GTV) which is expanded by certain margins to account for microscopic disease according to clinical guidelines, forming the clinical target volume (CTV). The standard T1/T2 weighted MR images are unable to distinguish tumor infiltration from inflammation and therefore inclusion of edema into the CTV is left to the physician's judgment. For patients unable to have resection, definitive RT results in local control of only 40 to 75% with the failures occurring primarily within the gross tumor. Standard anatomic imaging does not allow identification of areas at risk of local failure. We hypothesize that multiparametric PET/MR imaging will help to identify potential areas of resistant cell populations within the tumor in order to prescribe the higher dose to these areas to increase treatment effectiveness.
期刊论文(44)
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科研奖励(0)
会议论文
DOI: --
发表时间: 2015-06
期刊: Journal of nature and science
影响因子: --
作者: [E. Mananga;J. Moghaddasi;A. Sana;A. Akinmoladun;M. Sadoqi]
通讯作者: E. Mananga;J. Moghaddasi;A. Sana;A. Akinmoladun;M. Sadoqi
DOI: 10.1118/1.4934374
发表时间: 2015-11
期刊: Medical physics
影响因子: 3.8
作者: [J. Herraiz;Arkadiusz Sitek]
通讯作者: J. Herraiz;Arkadiusz Sitek
DOI: 10.1109/jstsp.2016.2601695
发表时间: 2016-10
期刊: IEEE journal of selected topics in signal processing
影响因子: 7.5
作者: [Hu C, Hua X, Ying J, Thompson PM, Fakhri GE, Li Q]
通讯作者: Li Q
DOI: 10.1080/02664763.2014.934666
发表时间: 2015
期刊: Journal of applied statistics
影响因子: 1.5
作者: [Malave P, Sitek A]
通讯作者: Sitek A
共 29 条
    IEEE Medical Imaging Conference
    • 批准号:
      10751421
    • 项目类别:
    • 资助金额:
      $1.0万
    • 财政年份:
      2023
    • 负责人:
      Georges El Fakhri
    • 依托单位:
    Methods for Quantitative Neuroimaging of Tau Burden inPre-symptomatic AD
    • 批准号:
      10390919
    • 项目类别:
    • 资助金额:
      $72.98万
    • 财政年份:
      2022
    • 负责人:
      Georges El Fakhri
    • 依托单位:
    Methods for Quantitative Neuroimaging of Tau Burden inPre-symptomatic AD
    • 批准号:
      10554362
    • 项目类别:
    • 资助金额:
      $72.52万
    • 财政年份:
      2022
    • 负责人:
      Georges El Fakhri
    • 依托单位:
    IEEE Medical Imaging Conference
    • 批准号:
      10259775
    • 项目类别:
    • 资助金额:
      $1.0万
    • 财政年份:
      2020
    • 负责人:
      Georges El Fakhri
    • 依托单位:
    海外基金