Viscoelastic Parameters estimation and imaging for Thyroid Nodule differentiation

甲状腺结节分化的粘弹性参数估计和成像

• 批准号: 8787587
• 负责人: Azra Alizad
• 金额: $ 58.14万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8787587
• 关键词: Accounting; Anxiety; Benign; Biopsy; Breast Microcalcification; Cancer Detection; Cancerous; Characteristics; Clinical; Comb animal structure; Computer software; Data; Data Collection; Detection; Diagnosis; Diagnostic; Elasticity; Endocrinologist; Frequencies; Goals; Gold; Human; Image; Imaging Device; Incidence; Lesion; Malignant - descriptor; Malignant Neoplasms; Malignant neoplasm of thyroid; Maps; Measurement; Mechanics; Methods; Modality; Nodule; Normal tissue morphology; Operative Surgical Procedures; Outcome; Pathologist; Patients; Performance; Physicians; Procedures; Property; Quantitative Evaluations; Reporting; Research; Research Support; Schedule; Scientist; Sea; Sensitivity and Specificity; Services; Shapes; Specificity; Surgical Pathology; System; Techniques; Testing; Thyroid Gland; Thyroid Nodule; Tissues; Trauma; Ultrasonics; Ultrasonography; Viscosity; Vision; Woman; Work; base; calcification; cancer care; cost; elastography; experience; human study; human subject; imaging modality; improved; in vivo; information gathering; innovation; men; patient population; public health relevance; radiologist; research facility; tool; viscoelasticity

DESCRIPTION (provided by applicant): Currently, there is an urgent need for pre-biopsy assessment of thyroid nodules. Conventional ultrasound is quite sensitive for detection of thyroid nodules; however, low specificity of traditional ultrasound leads to a great number of unnecessary (i.e. benign) biopsies that causes a significant financial and physical burden to the patients. To overcome the present challenging dilemma, it is thus important to develop new low- cost and noninvasive techniques to evaluate thyroid nodules with high sensitivity and specificity. The purpose of our research is to advance, optimize and evaluate the efficacy of a new noninvasive method called Multispectral Imaging and Elasticity Assessment (MIEA), which is comprised of three ultrasound-based techniques: vibro-acoustography (VA), comb-push ultrasound shear wave elastography (CUSE), and shear wave dispersion ultrasound vibrometry (SDUV) for characterization of thyroid nodules. The term multispectral refers to the concept of evaluating thyroid tissue at multiple frequency bands to obtain maximum information. The MIEA method will provide additional information not available from diagnostic US imaging. VA is an imaging method that provides information about the nodule shape and the presence of microcalcifications in the nodules, CUSE is a method for 2D mapping of elasticity, and SDUV is a method for point measurement of elasticity and viscosity. Both elasticity and calcifications are important in diagnosis of malignant nodules and will evaluate the effects of viscosity in this differentiation. The long-term goal of this project is to develop a new tool for assessment of thyroid nodules. Our hypothesis is that the MIEA method improves the sensitivity and specificity of thyroid cancer detection. Hence by improving the selection of thyroid nodules for biopsy, this method reduces the number of unnecessary FNAB and the associated cost and burden to the patients. MIEA can be implemented on conventional ultrasound scanners, and measurements can be made under the guidance of B-mode ultrasound imaging using the same ultrasonic probe. The proposed MIEA method is fast, low cost, portable, and noninvasive, thus it can be available to a large patient population. This proposal focuses on two specific Aims. Aim # 1: Prepare system for patient studies - Advance, optimize, and automate the MIEA method for human thyroid study; Aim # 2: Human study - Assess diagnostic value of the MIEA method in differentiation of thyroid nodules by correlating the results to surgical pathology as the gold standard. Approach: VA, SDUV, and CUSE will be implemented on a programmable ultrasound system and their performance will be tested and optimized using thyroid-mimicking phantoms. The results will be validated using independent measurements. In the second Aim, we will conduct a human study on a group of patients who are scheduled to have clinically-indicated thyroid biopsy for suspected thyroid nodules. VA imaging, 2D elasticity mapping by CUSE, and viscoelasticity measurement by SDUV will be performed on these patients and the results will be correlated with the findings of surgical biopsy as reported by the pathologist. The results will be used to evaluate the sensitivity and specificity of MIEA for differentiation of thyroid nodules.

描述（由申请人提供）：目前，迫切需要对甲状腺结节的生物检查前评估。常规超声对检测甲状腺结节非常敏感。但是，传统超声波的特异性较低会导致大量不必要的（即良性）活检，这会给患者带来巨大的财务和身体负担。为了克服当前具有挑战性的困境，重要的是要开发新的低成本和非侵入性技术来评估具有高灵敏度和特异性的甲状腺结节。我们研究的目的是提高，优化和评估一种称为多光谱成像和弹性评估（MIEA）的新型无创方法的功效（MIEA），该方法由三种基于超声的技术组成：氛围 - 声音学（VA），梳子超声波弹性（Cuse）和Shear shear shear Wave dibrention（cuse）的特征（compush）超声波（COMB-PUSH）结节。多光谱术语是指在多个频带上评估甲状腺组织以获取最大信息的概念。 MIEA方法将提供诊断美国成像中无法获得的其他信息。 VA是一种成像方法，它提供有关结节形状和微钙化存在的信息，Cuse是一种用于弹性2D映射的方法，SDUV是一种测量弹性和粘度点的方法。弹性和钙化对于诊断恶性结节都很重要，并将评估粘度在这种分化中的影响。该项目的长期目标是开发一种评估甲状腺结节的新工具。我们的假设是MIEA方法提高了甲状腺癌检测的敏感性和特异性。因此，通过改善甲状腺结节进行活检，该方法减少了不必要的FNAB数量以及患者的相关成本和负担。 MIEA可以在常规的超声扫描仪上实现，并且可以在B模式超声成像的指导下进行测量，并使用相同的超声探针进行测量。提出的MIEA方法是快速，低成本，便携式和无创的，因此可以向大型患者人群使用。该提案侧重于两个具体目标。 AIM＃1：准备患者研究系统 - 提前，优化和自动化MIEA方法进行人类甲状腺研究； AIM＃2：人类研究 - 通过将结果与手术病理作为黄金标准相关联，评估MIEA方法在分化甲状腺结节中的诊断价值。方法：VA，SDUV和CUSE将在可编程的超声系统上实施，并将使用模拟甲状腺模拟的幻影对其性能进行测试和优化。结果将通过独立的测量进行验证。在第二个目标中，我们将对计划对可疑甲状腺结节进行临床指示的甲状腺活检的患者进行人类研究。 VA成像，通过CUSE进行的2D弹性映射以及SDUV的粘弹性测量将对这些患者进行，结果将与病理学家报道的手术活检结果相关。结果将 用于评估MIEA对甲状腺结节分化的敏感性和特异性。