In vivo Evaluation of Lymph Nodes Using Quantitative Ultrasound

使用定量超声对淋巴结进行体内评估

• 批准号: 10737152
• 负责人: JONATHAN MAMOU
• 金额: $ 73.59万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-02 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10737152
• 关键词: Acoustics; Address; Affect; Algorithms; Anxiety; Area; Benign; Biopsy; Classification; Clinical; Collaborations; Cytology; Data; Detection; Discriminant Analysis; Disease; Disease Management; Disseminated Malignant Neoplasm; Evaluation; Excision; Fine needle aspiration biopsy; Foundations; Image; Lead; Light Microscope; Lymph Node Tissue; Lymphoma; Magnetic Resonance; Medical; Medicine; Metastatic Neoplasm to Lymph Nodes; Methods; Micrometastasis; Microscopic; Modeling; Neoplasm Metastasis; New York; Nonmetastatic; Operating Rooms; Operative Surgical Procedures; Outcome; Pathologist; Patient Recruitments; Patients; Performance; Procedures; Process; Property; Prostate; ROC Curve; Research; Research Personnel; Research Project Grants; Risk; Signal Transduction; Slice; Slide; Specimen; Staging; Surgical Pathology; System; Testing; Thyroid Gland; Time; Tissues; Ultrasonics; Universities; Validation; artificial neural network; attenuation; cost; data acquisition; electric impedance; improved; in vivo; in vivo evaluation; instrument; instrumentation; laptop; lymph node biopsy; lymph nodes; patient population; personalized care; quantitative ultrasound; side effect; standard of care; statistics; support vector machine; synergism; time use; tool; treatment planning; ultrasound; virtual

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.

项目摘要 该申请建议由Weill Cornell Medicine（WCM）进行合作研究 纽约约克（York，NY 布鲁克医学（SBM）隶属于纽约州纽约州立大学，纽约州斯托尼布鲁克。提议 项目解决了对可靠，高度敏感的方法检测到淋巴结转移的需求 （LNS）并将其与受良性条件影响的原发性淋巴瘤和LN区分开。这 能力将允许改善疾病的分期和治疗。因此，我们试图验证现有 使用定量 - 脱机（QUS）在WCM和SBM先前的研究中获得的令人鼓舞的结果（QUS） 通过使用A应用和评估这些有希望的方法来检测LN中转移的方法 改良的临床扫描仪可从接受医学的患者中获取超声回声信号数据 可疑的LNS所需的超声引导的细针质（FNA）。该研究将包括 比以前更大，多样性的患者人群的疾病类型范围要广泛。 迄今为止的研究可能。验证工作将开发，部署和验证QUS-的申请 基于临床扫描仪中实现的LNS的基于检测和表征。成功的验证将 建立将基于QU的LN评估方法纳入临床超声波的基础 扫描仪。此类仪器将能够在手术室内术中评估可疑的LN 或术前检查室。合作的研究人员将在 按照一般方式：WCM将提供项目监督和协调，并将申请，完善和测试 Q和分类方法； GER将提供超声仪器，并将发展和 验证扫描仪的QUS应用程序； SBM将招募患者并获得超声波和 来自接受LN的FNA的患者的细胞病理数据。