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BREAST CANCER DIAGNOSIS AND PREDICTION OF CHEMOTHERAPEUTIC RESPONSES W MRS & MR

BREAST CANCER DIAGNOSIS AND PREDICTION OF CHEMOTHERAPEUTIC RESPONSES W MRS & MR
W MRS 乳腺癌诊断和化疗反应预测
批准号:
7601629
负责人:
MICHAEL GARWOOD
金额:
$12.99万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-06-01 至 2008-05-31

项目摘要

项目成果

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中文摘要
翻译
这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者(PI)可能从另一个NIH来源获得了主要资金, 因此可以在其他CRISP条目中表示。所列机构为 研究中心,而研究中心不一定是研究者所在的机构。 确定首次全身治疗(PST)前至首次治疗后24小时内含胆碱化合物(tCho)浓度的变化是否能够预测局部晚期乳腺癌患者的临床缓解
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. To determine if changes in the concentration of choline-containing compounds (tCho) from before primary systemic therapy (PST) to within 24 hours after the first treatment enable prediction of clinical response in patients with locally advanced breast cancer
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会议论文
Angular Dependency of T1 Relaxation Time in Cerebral White Matter in Ultrahigh Field MRI
  • 批准号:
    9983056
  • 项目类别:
  • 资助金额:
    $7.7万
  • 财政年份:
    2019
  • 负责人:
    MICHAEL GARWOOD
  • 依托单位:
Imaging Human Brain Function with Minimal Mobility Restrictions: SUPPLEMENT: Administrative Supplement for Research on Bioethical Issues
  • 批准号:
    9928254
  • 项目类别:
  • 资助金额:
    $15.14万
  • 财政年份:
    2017
  • 负责人:
    MICHAEL GARWOOD
  • 依托单位:
Imaging Human Brain Function with Minimal Mobility Restrictions
  • 批准号:
    10240647
  • 项目类别:
  • 资助金额:
    $149.18万
  • 财政年份:
    2017
  • 负责人:
    MICHAEL GARWOOD
  • 依托单位:
Imaging Brain Function in Real World Environments & Populations with Portable MRI
  • 批准号:
    8822705
  • 项目类别:
  • 资助金额:
    $39.38万
  • 财政年份:
    2014
  • 负责人:
    MICHAEL GARWOOD
  • 依托单位:
国内基金
海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data