HIGH-RESOLUTION MR IMAGING OF SUSPICIOUS BREAST LESIONS
可疑乳房病变的高分辨率 MR 成像
基本信息
- 批准号:3202496
- 负责人:
- 金额:$ 30.13万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1993
- 资助国家:美国
- 起止时间:1993-02-01 至 1996-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Breast cancer represents a significant health care issue in the United
States. Screening with mammography and physical examination have
resulted in a decreased mortality from breast cancer due to earlier
detection. A major problem with these screening modalities is their
nonspecificity. The 70-85% benign surgical breast biopsy rate subjects
a large number of women to unnecessary surgery and places a significant
financial burden on the health care system.
The object of this proposal is to investigate the high resolution MR
imaging characteristics of suspicious breast lesions. The
interdisciplinary consists of three radiologists, a pathologist, and a
breast surgeon. We plan to obtain high-resolution MR images of only the
suspicious portion of the breast as identified by mammography or physical
exam. Lesions will be characterized by morphologic, signal intensity,
and enhancement patterns. The proposal also includes a detailed
correlation between pathology and images of resected specimens. With the
aid of statistical consultant we will assess the accuracy of high-
resolution MR imaging to identify specific pathologic entities. We also
plan to identify those patients in which high-resolution MR imaging may
offer an alternative to surgical biopsy.
乳腺癌在美国是一个重要的医疗保健问题
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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MITCHELL D. SCHNALL其他文献
MITCHELL D. SCHNALL的其他文献
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{{ truncateString('MITCHELL D. SCHNALL', 18)}}的其他基金
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- 批准号:
8802078 - 财政年份:2015
- 资助金额:
$ 30.13万 - 项目类别:
ECOG-ACRIN-Based QIN Resource for Advancing Quantitative Cancer Imaging in Clinical Trials
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- 批准号:
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- 资助金额:
$ 30.13万 - 项目类别:
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- 批准号:
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8169042 - 财政年份:2010
- 资助金额:
$ 30.13万 - 项目类别:
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用于评估肿瘤血管反应的径向 DCE-MRI
- 批准号:
7955315 - 财政年份:2009
- 资助金额:
$ 30.13万 - 项目类别:
IMPROVED ANALYTIC MODELS FOR ANALYSIS OF DCE-MRI DATA SETS
用于 DCE-MRI 数据集分析的改进分析模型
- 批准号:
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- 资助金额:
$ 30.13万 - 项目类别: