Magnetic Resonance Elastography in Breast Cancer

乳腺癌的磁共振弹性成像

基本信息

  • 批准号:
    6786030
  • 负责人:
  • 金额:
    $ 28.85万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2001
  • 资助国家:
    美国
  • 起止时间:
    2001-08-08 至 2006-07-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (Provided by Applicant): Mortality from breast cancer is stage-dependent and thus, early detection is vital if we are to make progress addressing the burden of this disease. Imaging methods such as mammography have made a ma contribution in the early diagnosis of breast cancer. Yet is clear that the standard imaging techniques have significant limitations in detecting the earliest changes of breast cancer and in distinguishing benign condition from important premalignant and malignant disease. Based on the remarkable efficacy of simple palpation as a clinical tool for detecting cancer in accessible parts of the body, it has long been recognized that a sensitive, imaging-based method, capable of assessing viscoelastjc properties of tissue, might offer considerable potential for discriminating malignant from benign tissues. The goal of this research is to develop a practical noninvasive MRJ-based method for quantitatively evaluating the mechanical properties of breast tissues. We call this technique magnetic resonance elastography (MRE). Preliminary development of MRE in our laboratory has demonstrated the feasibility of quantitatively imaging the large differences in the elastic properties of normal and cancerous breast tissues in vivo. The specific aims of this proposal are (1) to further develop the MR elastography technology for pre imaging and (2) to assess the potential of this new imaging technique to differentiate breast malignancies fr non-malignant lesions. The MRE technique is implemented on a standard MRI scanner. Therefore it is readily combined in the same examination with standard contrast-enhanced MRI protocols for breast cancer imaging. This research-will provide the first substantial body of quantitative, spatially-resolved data describing the viscoelastic properties of benign and malignant breast tissues in vivo. The planned technical development work and pilot studies will provide critical prerequisites for determining the advisability and most efficient design of a future clinical trial to test the value of MRE for distinguishing benign from malignant breast masses.
描述(由申请人提供):乳腺癌的死亡率为

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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Richard L. Ehman其他文献

644: CHANGE IN SERIAL LIVER STIFFNESS MEASUREMENT BY MAGNETIC RESONANCE ELASTOGRAPHY AND OUTCOMES IN NON-ALCOHOLIC FATTY LIVER DISEASE
  • DOI:
    10.1016/s0016-5085(22)63406-1
  • 发表时间:
    2022-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tolga Gidener;Ross Dierkhising;Kristin Mara;Terry Therneau;Sudhakar K. Venkatesh;Richard L. Ehman;Meng Yin;Alina M. Allen
  • 通讯作者:
    Alina M. Allen
582 MAGNETIC RESONANCE ELASTOGRAPHY FOR PREDICTION OF LONG-TERM PROGRESSION AND OUTCOME IN CHRONIC LIVER DISEASE
  • DOI:
    10.1016/s0016-5085(21)02596-8
  • 发表时间:
    2021-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tolga Gidener;Meng Yin;Ross Dierkhising;Alina M. Allen;Richard L. Ehman;Sudhakar K. Venkatesh
  • 通讯作者:
    Sudhakar K. Venkatesh
FRI095 - Confounding factors in diagnostic performance of magnetic resonance elastography for staging liver fibrosis in patients with non-alcoholic fatty liver disease: an individual patient data meta-analysis
FRI095 - 磁共振弹性成像在非酒精性脂肪肝患者肝纤维化分期诊断性能中的混杂因素:一项个体患者数据荟萃分析
  • DOI:
    10.1016/s0168-8278(22)01224-7
  • 发表时间:
    2022-07-01
  • 期刊:
  • 影响因子:
    33.000
  • 作者:
    JiaXu Liang;Javier Ampuero;Kento Imajo;Mazen Noureddin;Jaideep Behari;Dae Ho Lee;Richard L. Ehman;Juan R. Lacalle;Javier Castell;Ferenc Mozes;Michael Pavlides;Quentin Anstee;Stephen Harrison;Manuel Romero Gomez
  • 通讯作者:
    Manuel Romero Gomez
744 LONGITUDINAL NAFLD MONITORING USING SERIAL MAGNETIC RESONANCE ELASTOGRAPHY (MRE) BEFORE AND AFTER LIVER TRANSPLANTATION
  • DOI:
    10.1016/s0016-5085(20)33891-9
  • 发表时间:
    2020-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tolga Gidener;Omar T. Ahmed;Joseph J. Larson;Terry Therneau;Sudhakar K. Venkatesh;Richard L. Ehman;Meng Yin;Alina M. Allen
  • 通讯作者:
    Alina M. Allen
GS-001 Diagnostic performance of imaging and serum based MASLD biomarkers: robust validation in the prospective LITMUS imaging study
GS - 001成像及基于血清的代谢相关脂肪性肝病(MASLD)生物标志物的诊断效能:前瞻性LITMUS成像研究中的稳健验证
  • DOI:
    10.1016/s0168-8278(25)00298-3
  • 发表时间:
    2025-05-01
  • 期刊:
  • 影响因子:
    33.000
  • 作者:
    Michael Pavlides;Yasaman Vali;Ferenc Mozes;Kristy Wonders;Salma Akthar;Guruprasad Aithal;Rocío Aller;Michael Allison;Johanna Arola;Rajarshi Banerjee;Annalisa Berzigotti;Jerome Boursier;Clifford Brass;Elisabetta Bugianesi;Jeremy Cobbold;Harvey O. Coxson;Susan Davies;Ann Driessen;Kevin Duffin;Richard L. Ehman;Quentin Anstee
  • 通讯作者:
    Quentin Anstee

Richard L. Ehman的其他文献

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{{ truncateString('Richard L. Ehman', 18)}}的其他基金

Magnetic Resonance Elastography in Breast Cancer
乳腺癌的磁共振弹性成像
  • 批准号:
    6522702
  • 财政年份:
    2001
  • 资助金额:
    $ 28.85万
  • 项目类别:
Magnetic Resonance Elastography in Breast Cancer
乳腺癌的磁共振弹性成像
  • 批准号:
    6361300
  • 财政年份:
    2001
  • 资助金额:
    $ 28.85万
  • 项目类别:
Magnetic Resonance Elastography in Breast Cancer
乳腺癌的磁共振弹性成像
  • 批准号:
    6609794
  • 财政年份:
    2001
  • 资助金额:
    $ 28.85万
  • 项目类别:
Magnetic Resonance Elastography in Breast Cancer
乳腺癌的磁共振弹性成像
  • 批准号:
    6927845
  • 财政年份:
    2001
  • 资助金额:
    $ 28.85万
  • 项目类别:
MAGNETIC RESONANCE ELASTOGRAPHY
磁共振弹性成像
  • 批准号:
    6172680
  • 财政年份:
    1997
  • 资助金额:
    $ 28.85万
  • 项目类别:
Magnetic Resonance Elastography
磁共振弹性成像
  • 批准号:
    10321678
  • 财政年份:
    1997
  • 资助金额:
    $ 28.85万
  • 项目类别:
MAGNETIC RESONANCE ELASTOGRAPHY
磁共振弹性成像
  • 批准号:
    2896180
  • 财政年份:
    1997
  • 资助金额:
    $ 28.85万
  • 项目类别:
Magnetic Resonance Elastography
磁共振弹性成像
  • 批准号:
    7068118
  • 财政年份:
    1997
  • 资助金额:
    $ 28.85万
  • 项目类别:
Magnetic Resonance Elastography
磁共振弹性成像
  • 批准号:
    7232384
  • 财政年份:
    1997
  • 资助金额:
    $ 28.85万
  • 项目类别:
Magnetic Resonance Elastography
磁共振弹性成像
  • 批准号:
    10533325
  • 财政年份:
    1997
  • 资助金额:
    $ 28.85万
  • 项目类别:
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