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Automated Volumetric Molecular Ultrasound for Breast Cancer Imaging

Automated Volumetric Molecular Ultrasound for Breast Cancer Imaging
用于乳腺癌成像的自动体积分子超声
批准号:
10480758
负责人:
BRUCE L DANIEL
金额:
$36.68万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
未结题
起止时间:
2017-08-01 至 2025-01-31
关键词:
AcousticsAnatomyAnimal ModelAutomobile DrivingBiological ProcessBiopsyBreastBreast Cancer DetectionBreast Cancer ModelBreast Cancer TreatmentCallbackCancer EtiologyCessation of lifeClinicClinicalClinical TrialsCollaborationsComputer softwareContrast MediaCore BiopsyDataData SetDedicationsDependenceDetectionDevelopmentDevicesDiagnosisExtravasationFamilyFoundationsFrequenciesGeneral PopulationHealth Care CostsHistologyHumanImageImage AnalysisImaging technologyImmunohistochemistryIndustrializationMalignant NeoplasmsMammary Gland ParenchymaMammary UltrasonographyMammographyMeasuresMedicalMethodsMicrobubblesModalityMolecularMolecular ProfilingMonitorMorphologic artifactsNewly DiagnosedNipplesPatientsPhosphotransferasesPhysiologic pulsePsychological StressResearchResearch ProposalsResolutionRestScanningScheduleShapesSignal TransductionSpeedStainsSystemTechnologyTestingTimeTissuesTransducersTransgenic MiceTranslatingTranslationsUltrasonic TransducerUltrasonographyUnited StatesUniversitiesVisualizationWomanaccurate diagnosisbreast cancer diagnosisbreast imagingbreast lesioncancer imagingcancer therapycancer typeclinical imagingclinical practiceclinical translationcostcost efficientdiagnostic accuracyexperimental studyfirst-in-humanimage visualizationimagerimaging approachimaging capabilitiesimaging detectionimaging systemimprovedmalignant breast neoplasmmolecular imagingneovasculaturenext generationnovelpre-clinicalprospectivereceptortargeted agenttooltransmission processtumorultrasound

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中文摘要
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英文摘要
Breast cancer is the second leading cause of cancer-related deaths in women in the United States. While mammography is the current first line imaging approach, its diagnostic accuracy is very limited in women with dense breast tissue. In those patients, ultrasound is used to supplement mammography for improved breast cancer detection and characterization. However, it often results in false positive findings with multiple unnecessary callbacks, biopsies, associated health care cost, and psychological stress for women. Ultrasound molecular imaging using contrast agents targeted at cancer-associated molecular signatures on the tumor neovasculature, such as kinase domain receptor (KDR), is an emerging strategy that has shown promising results for breast cancer detection and characterization in preclinical animal models as well as in a recent pilot clinical trial performed by our group. However, current limitations include its operator-dependency, limited anatomical coverage, and the lack of an optimized clinical imaging system for wide-spread breast ultrasound molecular imaging. The purpose of this interdisciplinary, academic-industrial collaboration between Stanford University and Siemens Medical Solutions USA, Inc. is to develop, optimize, and clinically test a new operator- independent whole-breast ultrasound imaging system based on a commercially available and widely used automated human breast volume scanner (ABVS), supporting molecular imaging for improved breast cancer imaging in the clinic. We will also develop imaging strategies to mitigate common artifacts encountered in ultrasound molecular imaging of the breast, including spurious contrast signal from tissue signal leakage and acoustic shadowing from the nipple. To assess feasibility and efficacy in the clinic, the new volumetric ultrasound molecular imaging system will then be clinically tested in women with focal breast lesions using histology and KDR staining levels on immunohistochemistry as gold standard. The technology used in this proposal can be integrated on similar other commercial devices beyond the ABVS (in the USA alone, approximately 1600 units are already used in routine clinical practice) and will therefore have immediate impact on the general public.
期刊论文(2)
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科研奖励(0)
会议论文
Synthesis and Evaluation of Clinically Translatable Targeted Microbubbles Using a Microfluidic Device for In Vivo Ultrasound Molecular Imaging.
使用微流体装置的体内超声分子成像的临床转换靶向微泡的合成和评估。
DOI: 10.3390/ijms24109048
发表时间: 2023-05-20
期刊: International journal of molecular sciences
影响因子: 5.6
作者: []
通讯作者:
DOI: 10.1109/tmi.2020.2986762
发表时间: 2020-10
期刊: IEEE transactions on medical imaging
影响因子: 10.6
作者: [Hyun D, Abou-Elkacem L, Bam R, Brickson LL, Herickhoff CD, Dahl JJ]
通讯作者: Dahl JJ
Abbreviated Non-Contrast-Enhanced MRI for Breast Cancer Screening
  • 批准号:
    10331324
  • 项目类别:
  • 资助金额:
    $58.13万
  • 财政年份:
    2021
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
Abbreviated Non-Contrast-Enhanced MRI for Breast Cancer Screening
  • 批准号:
    10557922
  • 项目类别:
  • 资助金额:
    $66.85万
  • 财政年份:
    2021
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
High-Resolution Breast MRI at 3.0T
  • 批准号:
    10311113
  • 项目类别:
  • 资助金额:
    $68.4万
  • 财政年份:
    2020
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
High-Resolution Breast MRI at 3.0T
  • 批准号:
    9886796
  • 项目类别:
  • 资助金额:
    $63.96万
  • 财政年份:
    2020
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
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