In vivo Evaluation of Lymph Nodes Using Quantitative Ultrasound
In vivo Evaluation of Lymph Nodes Using Quantitative Ultrasound
批准号:
10737152
负责人:
JONATHAN MAMOU
金额:
$73.59万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-02 至 2028-07-31
关键词:
AcousticsAddressAffectAlgorithmsAnxietyAreaBenignBiopsyClassificationClinicalCollaborationsCytologyDataDetectionDiscriminant AnalysisDiseaseDisease ManagementDisseminated Malignant NeoplasmEvaluationExcisionFine needle aspiration biopsyFoundationsImageLeadLight MicroscopeLymph Node TissueLymphomaMagnetic ResonanceMedicalMedicineMetastatic Neoplasm to Lymph NodesMethodsMicrometastasisMicroscopicModelingNeoplasm MetastasisNew YorkNonmetastaticOperating RoomsOperative Surgical ProceduresOutcomePathologistPatient RecruitmentsPatientsPerformanceProceduresProcessPropertyProstateROC CurveResearchResearch PersonnelResearch Project GrantsRiskSignal TransductionSliceSlideSpecimenStagingSurgical PathologySystemTestingThyroid GlandTimeTissuesUltrasonicsUniversitiesValidationartificial neural networkattenuationcostdata acquisitionelectric impedanceimprovedin vivoin vivo evaluationinstrumentinstrumentationlaptoplymph node biopsylymph nodespatient populationpersonalized carequantitative ultrasoundside effectstandard of carestatisticssupport vector machinesynergismtime usetooltreatment planningultrasoundvirtual
中文摘要
项目摘要
这项申请提出了一项由威尔·康奈尔医学(WCM)在新的
纽约州约克市,作为与GE Research(GER)在纽约州尼斯卡尤纳和斯通市合作的牵头组织
布鲁克医学(SBM)附属于纽约州立大学石溪分校。建议数
该项目解决了对可靠、高度敏感的检测淋巴结转移的手段的需求
并与原发淋巴瘤和良性病变的淋巴结节相鉴别。这
这一能力将有助于改进疾病的分期和治疗。因此,我们试图验证现有的
WCM和SBM使用定量超声(QUS)在先前的研究中获得了令人鼓舞的结果
通过应用和评估这些有前景的方法来检测淋巴结转移的方法
改装临床扫描仪获取内科患者的超声回波信号数据
可疑淋巴结的超声引导细针活检(FNAs)。该研究将包括一项
疾病类型的范围比以往任何时候都要大得多,患者群体也更加多样化
在迄今为止的研究中是可能的。验证工作将为QUS开发、部署和验证应用程序-
基于在临床扫描仪中实现的对LNS的检测和表征。成功的验证将
为将基于QUS的LN评估方法应用于临床超声检查奠定基础
扫描仪。这类仪器将能够在手术室中评估可疑的淋巴结
或在手术前在检查室内。合作的研究人员将在
以下是一般方式:WCM将提供项目监督和协调,并将应用、改进和测试
QUS和分类方法;GER将提供超声仪器,并将开发和
验证扫描仪的QUS应用程序;SBM将招募患者并获得超声波和
接受淋巴结FNAs检查的患者的细胞病理学资料。
英文摘要
Project Summary
This application proposes a collaborative study to be performed by Weill Cornell Medicine (WCM) in New
York, NY, as the lead organization in collaboration with GE Research (GER) in Niskayuna, NY, and Stony
Brook Medicine (SBM) affiliated with the State University of New York in Stony Brook, NY. The proposed
project addresses the need for reliable, highly sensitive means of detecting metastases to lymph nodes
(LNs) and distinguishing them from primary lymphomas and LNs affected by benign conditions. This
capability will allow improved staging and treatment of disease. Accordingly, we seek to validate existing
encouraging results obtained in prior studies by WCM and SBM using quantitative-ultrasound (QUS)
methods to detect metastases in LNs by applying and evaluating these promising methods using a
modified clinical scanner to acquire ultrasonic echo-signal data from patients undergoing medically
required ultrasonically guided fine-needle aspirations (FNAs) of suspicious LNs. The study will include a
far broader range of disease types from a larger and more-diverse patient population than has been
possible in studies to date. Validation efforts will develop, deploy, and validate an application for QUS-
based detection and characterization of LNs implemented in a clinical scanner. Successful validation will
establish a foundation for incorporation of QUS-based methods for LN evaluation into clinical ultrasonic
scanners. Such instruments will be able to evaluate suspicious LNs intra-operatively in the operating room
or pre-operatively in the examination room. The collaborating researchers will synergize capabilities in the
following general ways: WCM will provide project oversight and coordination and will apply, refine, and test
QUS and classification methods; GER will provide ultrasound instrumentation and will develop and
validate the QUS application for the scanner; SBM will recruit patients and acquire ultrasonic and
cytopathological data from patients undergoing FNAs of their LNs.
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会议论文
Novel in-vivo ultrasound-based point-of-care instrument to assess myopia level andprogression
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批准号:10669915
-
项目类别:
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资助金额:$15.6万
-
财政年份:2023
-
负责人:JONATHAN MAMOU
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依托单位:
Next Generation Quantitative Acoustic Microscopy for Biomedical Application
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批准号:10445570
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项目类别:
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资助金额:$44.6万
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财政年份:2022
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负责人:JONATHAN MAMOU
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依托单位:
Next Generation Quantitative Acoustic Microscopy for Biomedical Application
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批准号:10707063
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项目类别:
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资助金额:$43.27万
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财政年份:2022
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负责人:JONATHAN MAMOU
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依托单位:
Novel in-vivo ultrasound-based point-of-care instrument to assess myopia level and progression
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批准号:9903615
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项目类别:
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资助金额:$27.36万
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财政年份:2020
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负责人:JONATHAN MAMOU
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依托单位:
Ultrasound Scattering Models for Detection of Metastases in Axillary Lymph Nodes
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批准号:8591392
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项目类别:
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资助金额:$18.26万
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财政年份:2012
-
负责人:JONATHAN MAMOU
-
依托单位:
Ultrasound Scattering Models for Detection of Metastases in Axillary Lymph Nodes
-
批准号:8424731
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项目类别:
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资助金额:$21.27万
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财政年份:2012
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负责人:JONATHAN MAMOU
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依托单位:
Very-High-Frequency Ultrasound Imaging With Coded Signals and Annular Arrays
-
批准号:7267918
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项目类别:
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资助金额:$18.33万
-
财政年份:2006
-
负责人:JONATHAN MAMOU
-
依托单位:
Very-High-Frequency Ultrasound Imaging With Coded Signals and Annular Arrays
-
批准号:7136794
-
项目类别:
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资助金额:$18.68万
-
财政年份:2006
-
负责人:JONATHAN MAMOU
-
依托单位:
海外基金