BENIGN-MALIGNANT LESION DIFFERENTIATION USING FUNCTIONAL ADC-THRESHOLDING
BENIGN-MALIGNANT LESION DIFFERENTIATION USING FUNCTIONAL ADC-THRESHOLDING
批准号:
8362919
负责人:
JOHANNES D VELDHUIS
金额:
$1.95万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-01 至 2012-03-31
关键词:
Annual ReportsBenignBlood VesselsCystic LesionData SetDiagnosisDiffusion weighted imagingDiscriminationEvaluationFundingGrantHealth Insurance Portability and Accountability ActHospitalsImageInstitutional Review BoardsLesionMagnetic ResonanceMagnetic Resonance ImagingMalignant - descriptorMapsNational Center for Research ResourcesPathologyPhasePhysiologic pulsePredispositionPrincipal InvestigatorReadingResearchResearch InfrastructureResourcesSourceTechnologyUnited States National Institutes of HealthVisitWeightWomanabstractingbasebreast lesioncostinterestmalignant breast neoplasmpatient populationradiologist
中文摘要
这个子项目是利用资源的许多研究子项目之一。
由NIH/NCRR资助的中心拨款提供。对子项目的主要支持
子项目的首席调查员可能是由其他来源提供的,
包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能
表示该子项目使用的中心基础设施的估计数量,
不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。
使用功能ADC阈值进行良恶性病变的鉴别,使放射科专家能够解读
与基于ADC截止值的传统阈值相比
弥散加权成像(DWI)有助于鉴别乳腺良恶性病变。实现以下目标的方法
从DWI数据集中包含的信息中获益主要是基于尝试定义
病变ADC。这可能是有限的,因为相对较低的SNR,相对较高的病变ADC-EVEN的变异性
在一家医院或患者群体内-以及将结果外推到不同领域的有限潜力
强度、脉冲序列或b值。我们使用了一种方法,在这种方法中,DWI的高CNR和量化
ADC的信息以“功能阈值ADC(FtADC)图”的形式呈现给放射科医生,该图增加了
感兴趣的病变的显着性,很像相位图像被用来增加血管的显着性,在易感性-
加权成像。放射科医生可以自行决定“窗口级”ftADC图,并将病变诊断为“ftADC亮”。
而不必选择ADC阈值;例如,类似于囊性病变被解释为“T2亮”
而不使用T2截止值。我们对以下数据仓库数据集进行了追溯、符合HIPAA、IRB批准的分析
103例连续接受1.5T磁共振检查的乳腺癌患者。传统的ADC阈值是
与ftADC映射和动态增强(DCE)MRI相比,对于所有经病理证实的病变。
要了解卢卡斯中心正在进行的其他项目,请访问http://rsl.stanford.edu/(卢卡斯年度报告和
ISMRM 2011年摘要)
英文摘要
This subproject is one of many research subprojects utilizing the resources
provided by a Center grant funded by NIH/NCRR. Primary support for the subproject
and the subproject's principal investigator may have been provided by other sources,
including other NIH sources. The Total Cost listed for the subproject likely
represents the estimated amount of Center infrastructure utilized by the subproject,
not direct funding provided by the NCRR grant to the subproject or subproject staff.
Benign-Malignant Lesion Differentiation Using Functional ADC-Thresholding Allowing Expert Radiologist Interpretation
Versus Conventional Thresholding Based On ADC Cut-Off Values
Diffusion-weighted imaging (DWI) may aid in the discrimination of benign from malignant (breast) lesions. Approaches to
benefit from the information contained in the DWI dataset have mostly been based on trying to define a cut-off value for
the lesion ADC. This may be limiting because of the relatively low SNR, the relatively high variability of lesion ADC - even
within one hospital or patient population - and the limited potential of the results to be extrapolated to different field
strengths, pulse-sequences or b-values. We used an approach in which the high CNR of DWI and the quantitative
information of the ADC are presented to the radiologist in a "functionally-thresholded ADC (ftADC) map" that increases the
conspicuity of lesions of interest, much like phase-images are used to increase vascular conspicuity in susceptibility-
weighted imaging. Radiologists can "window-level" ftADC-maps at their discretion and diagnose a lesion as "ftADC-bright"
without having to choose an ADC-threshold value; Similar to, for example, a cystic lesion being interpreted as "T2-bright"
without using T2-cut-off values. We performed a retrospective, HIPAA-compliant, IRB-approved analysis of DW data sets of
103 consecutive women who underwent 1.5T MRI for the evaluation of breast cancer. Conventional ADC-thresholding was
compared to ftADC-mapping and to dynamic contrast-enhanced (DCE) MRI, for all pathology-verified lesions.
To read about other projects ongoing at the Lucas Center, please visit http://rsl.stanford.edu/ (Lucas Annual Report and
ISMRM 2011 Abstracts)
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
HIGH-RESOLUTION, FAT-SUPPRESSED, DIFFUSION-WEIGHTED MRI OF THE BREAST
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批准号:8362918
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项目类别:
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-
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-
负责人:JOHANNES D VELDHUIS
-
依托单位:
ACCURACY OF HIGH-RESOLUTION MULTI-SHOT DWI FOR THE DETECTION OF BREAST CANCER
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批准号:8362920
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项目类别:
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资助金额:$1.95万
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依托单位:
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