Quantitative Ultrasonic Imaging of the Breast

乳房定量超声成像

• 批准号: 7616790
• 负责人: William D. O'Brien
• 金额: $ 92.34万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7616790
• 关键词: Acoustics; Algorithms; Animal Model; Animals; Biological; Biopsy; Breast; Caliber; Classification; Clinical; Data; Databases; Development; Diagnosis; Diagnostic; Diagnostic Imaging; Disease; Early Diagnosis; Effectiveness; Engineering; Foundations; Goals; Illinois; Image; Imaging Techniques; In Situ; In Vitro; Internet; Laboratories; Lead; Lesion; Mammary Neoplasms; Maps; Measurement; Methods; Modality; Modeling; Monitor; Normal tissue morphology; Pathologic; Pathologist; Performance; Phase II Clinical Trials; Process; Property; Relative (related person); Research; Research Personnel; Resolution; Scanning; Shapes; Signal Transduction; Solid; Solid Neoplasm; Source; Staging; Structure; Techniques; Testing; Time; Tissues; Ultrasonics; Ultrasonography; Universities; Variant; Wisconsin; Work; acoustic imaging; attenuation; base; breast lesion; cancer site; density; electric impedance; expectation; feeding; human subject; improved; in vivo; in vivo Model; novel; novel strategies; outreach; quantitative ultrasound; radiofrequency; radiologist; research clinical testing; research study; response; simulation; tool; tumor; tumor growth

DESCRIPTION (provided by applicant): The long-term goal of the proposed partnership is to develop, unify, refine and implement a new approach to quantitative ultrasound (QUS) imaging of biological tissues and mammary tumors by the quantification of tissue microstructure. In lay terms, if the research is successful, many breast abnormalities and lesions can be diagnosed without the need for a biopsy. The overall hypothesis of our partnership is that a set of QUS parameters can significantly improve breast lesion differentiation/classification. The primary QUS parameters to be exploited include attenuation, scatterer size, scatterer number density, and acoustic concentration (scatterer number density times their impedance change). Our goal in the first 5 years of this project is to lay the foundation for a new (possibly revolutionary but definitely evolutionary) diagnostic imaging capability through development, testing, and verification with simulations, phantoms, and in vitro and in vivo animal model experiments, as well as preliminary human subjecting testing. In the second 5 years we will extend the analysis beyond common breast lesions, begin Phase II clinical trials and work towards the creation of automated tools to assist in the diagnosis of breast abnormalities. The partnership is between engineers, acoustic physicists, statisticians and veterinary pathologists at UIUC and physicists, engineers, pathologists and radiologists at UW. The PI is William D. O'Brien, Jr. (UIUC), and functioning as the co-Pi is Timothy J. Hall (UW). Use of QUS imaging is medically significant because it offers a potentially real-time and noninvasive means of differentiation/classification tumor types and tracking their response to therapy. To this end, 5 specific aims are proposed, viz., 1) unify QUS algorithms with simulations, phantoms and animal tumor models in vivo, 2) associate acoustic microstructural measurements with anatomical scattering sources, 3) monitor the changes in QUS parameters with tumor growth in in vivo animal models, 4) compare tumors in human subjects with those in animal models, and 5) develop a major outreach activity.

描述(由申请人提供)：拟议的合作伙伴关系的长期目标是开发、统一、改进和实施一种通过量化组织微结构来对生物组织和乳腺肿瘤进行定量超声(QUS)成像的新方法。就外行而言，如果研究成功，许多乳房异常和病变都可以在不需要活检的情况下得到诊断。我们合作的总体假设是，一组QUS参数可以显著改善乳腺病变的鉴别/分类。要利用的主要QUS参数包括衰减、散射体大小、散射体数量密度和声学浓度(散射体数量密度乘以其阻抗变化)。我们在这个项目的头5年的目标是通过开发、测试和验证模拟、幻影、体外和体内动物模型实验以及初步的人体测试，为新的(可能是革命性的，但肯定是进化的)诊断成像能力奠定基础。在接下来的5年里，我们将把分析范围扩大到常见的乳房病变之外，开始第二阶段的临床试验，并致力于创建自动化工具来帮助诊断乳房异常。UIUC的工程师、声学物理学家、统计学家和兽医病理学家与威斯康星大学的物理学家、工程师、病理学家和放射学家建立了合作伙伴关系。私家侦探是小威廉·D·奥布莱恩。(UIUC)，担任联席PI的是Timothy J.Hall(UW)。QUS成像的使用具有重要的医学意义，因为它提供了一种潜在的实时和非侵入性的手段来区分/分类肿瘤类型并跟踪它们对治疗的反应。为此，提出了5个具体目标，即1)将QUS算法与体内模拟、幻影和动物肿瘤模型相统一，2)将声学微观结构测量与解剖散射源相关联，3)监测QUS参数的变化与体内动物模型中肿瘤生长的关系，4)比较人体和动物模型中的肿瘤，5)开展主要的推广活动。