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: 9093797
• 负责人: Azra Alizad
• 金额: $ 55.45万
• 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/9093797
• 关键词: Accounting; Anxiety; Assessment tool; 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; Health; 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; 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（申请人提供）：目前迫切需要对甲状腺结节进行活检前评估。传统超声对于甲状腺结节的检测相当敏感；然而，传统超声的特异性较低，会导致大量不必要的（即良性）活检，给患者带来重大的经济和身体负担。为了克服目前具有挑战性的困境，开发新的低成本、无创技术来以高灵敏度和特异性评估甲状腺结节非常重要。我们研究的目的是推进、优化和评估一种称为多光谱成像和弹性评估 (MIEA) 的新型非侵入性方法的功效，该方法由三种基于超声的技术组成：振动声学 (VA)、梳状推式超声剪切波弹性成像 (CUSE) 和剪切波色散超声振动测量 (SDUV) 用于表征甲状腺结节。术语“多光谱”是指在多个频段评估甲状腺组织以获得最大信息的概念。 MIEA 方法将提供超声诊断成像无法提供的附加信息。 VA 是一种成像方法，可提供有关结节形状和结节中是否存在微钙化的信息；CUSE 是一种弹性二维绘图方法；SDUV 是一种弹性和粘度点测量方法。弹性和钙化对于恶性结节的诊断都很重要，并且将评估粘度在这种分化中的作用。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，通过改进用于活检的甲状腺结节的选择，该方法减少了不必要的 FNAB 的数量以及患者的相关成本和负担。 MIEA可以在传统的超声扫描仪上实现，并且可以使用相同的超声探头在B型超声成像的引导下进行测量。所提出的 MIEA 方法快速、低成本、便携且无创，因此可用于大量患者群体。该提案侧重于两个具体目标。目标#1：为患者研究准备系统 - 推进、优化和自动化用于人类甲状腺研究的 MIEA 方法；目标#2：人体研究 - 通过将结果与手术病理学作为金标准相关联，评估 MIEA 方法在甲状腺结节分化中的诊断价值。方法：VA、SDUV 和 CUSE 将在可编程超声系统上实施，并使用模拟甲状腺模型测试和优化它们的性能。结果将通过独立测量进行验证。在第二个目标中，我们将对一组计划对疑似甲状腺结节进行临床指示甲状腺活检的患者进行人体研究。将对这些患者进行 VA 成像、CUSE 二维弹性图和 SDUV 粘弹性测量，结果将与病理学家报告的手术活检结果相关。结果将 用于评估 MIEA 鉴别甲状腺结节的敏感性和特异性。