High-Resolution Whole-Breast MRI at 3.0T
High-Resolution Whole-Breast MRI at 3.0T
批准号:
7686308
负责人:
Brian Andrew Hargreaves
金额:
$45.28万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-15 至 2012-06-30
关键词:
AddressAffectBackBilateralBiopsyBreastBreast Cancer DetectionClinicalComputer softwareContralateralDataDevelopmentDiagnosisEarElementsEquilibriumEvaluation StudiesFatty acid glycerol estersFrequenciesFutureGoalsImageImaging technologyLesionMagnetic Resonance ImagingMagnetismMalignant NeoplasmsMethodsNoiseNoninfiltrating Intraductal CarcinomaPatientsPatternPhasePhysiologic pulsePopulationPredictive ValueProtocols documentationRecording of previous eventsRelative (related person)ResearchResolutionRiskRoentgen RaysScanningScreening for cancerScreening procedureShapesSignal TransductionSpecificitySpiculateSurfaceSurvival RateTechniquesTestingTimeUnited StatesVariantWeightcostcost effectivedensitydesigndiagnostic accuracyhigh riskhuman subjectimage reconstructionimaging modalityimprovedinnovationmagnetic fieldmalignant breast neoplasmpreventtoolultra high resolutionvolunteer
中文摘要
描述(由申请人提供):项目总结概述:尽管磁共振成像(MRI)在检测多种类型的乳腺癌方面显示出临床准确性,但更高分辨率的MRI可能会提高小病变的可检测性、原位导管癌的诊断以及MRI对其他癌症的特异性。MRI技术的许多最新进展将实现更高分辨率的检查,但尚未应用于乳腺癌的全面优化成像。我们建议开发,实施和验证乳腺MRI方法具有非常高的空间分辨率在3T。重要性:尽管乳腺MRI最近已被证明在筛查高风险患者或对侧乳腺癌患者方面具有成本效益,但其对导管原位癌的敏感性,评估小病变的能力及其阳性预测值限制了使用的增加。更高分辨率的MRI可以解决所有这些局限性,为乳腺癌的评估提供更准确的工具。提高特异性可以降低不必要的活检率,同时也使MRI有效地筛查低风险患者。提高对小病变的敏感性可以更早地检测癌症,从而提高生存率并降低筛查频率。方法:作为第一个目标,我们将开发脂肪抑制的超高分辨率3D MRI脉冲序列,用于3T下的T1加权和T2加权成像,结合激励脉冲设计,成像和重建方面的众多进展。我们将在一项小型患者研究中测试超高分辨率成像的临床实用性。接下来,作为第二个目标,我们将使用专门为患者安装的高密度相控阵线圈,以提供最大的信号水平,体积覆盖和并行成像能力,扩展高分辨率成像方法,用于完全双侧乳房覆盖。我们还将应用软件和硬件技术来降低对3T磁场变化的敏感性。将在第二项患者研究中测试整体双侧技术,以评估完整高分辨率全乳房成像方案的效用。磁共振成像(MRI)是一种检测乳腺癌的准确方法,最近已被证明在筛查高危患者方面具有成本效益。这项研究将开发更高分辨率的MRI,使其能够更好地分类小病变,防止不必要的活检,并更早地检测癌症。
英文摘要
DESCRIPTION (provided by applicant): Project Summary Overview: Although magnetic resonance imaging (MRI) has shown clinical accuracy in detecting many types of breast cancer, higher-resolution MRI would potentially improve detectability of small lesions, diagnosis of ductal carcinoma in situ, and specificity of MRI for other cancers. Numerous recent advances in MRI technology will enable higher resolution exams, but have not yet been applied to fully optimize imaging for breast cancer. We propose to develop, implement and validate breast MRI methods with very high spatial-resolution at 3T. Significance: Although breast MRI has recently been shown to be cost-effective in screening high risk patients or patients with a contralateral breast cancer, its sensitivity to ductal carcinoma in situ, it's ability to assess small lesions, and its positive predictive value limit increased use. Higher resolution MRI could address all of these limitations, providing a more accurate tool for assessment of breast cancer. Improved specificity could reduce the rate of unnecessary biopsy while also making MRI effective for screening lower-risk patients. Increased sensitivity for small lesions could allow earlier detection of cancer resulting in increased survival rates and a reduced screening frequency. Approach: As a first aim, we will develop fat-suppressed ultra-high-resolution 3D MRI pulse sequences for T1-weighted and T2-weighted imaging at 3T, combining numerous advances in excitation pulse design, imaging and reconstruction. We will test the clinical utility of ultra-high-resolution imaging in a small patient study. Next, as a second aim, we will extend the high-resolution imaging methods for full bilateral breast coverage using high-density phased-array coils fitted specifically to the patient in order to provide maximal signal levels, volumetric coverage and parallel imaging capability. We will also apply software and hardware techniques to reduce sensitivity to magnetic field variations at 3T. The overall bilateral techniques will be tested in a second patient study to assess the utility of the complete high-resolution whole-breast imaging protocol. Project Narrative Magnetic resonance imaging (MRI) is an accurate method to detect breast cancer, and has recently been shown to be cost-effective in screening high-risk patients. This research will develop much higher resolution MRI, allowing it to better classify small lesions, prevent unnecessary biopsy, and detect cancer earlier.
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海外基金