Prostate-cancer Imaging by Combined Ultrasound and Magnetic-resonance Parameters

结合超声和磁共振参数的前列腺癌成像

基本信息

批准号：
7989004
负责人：
Ernest Joseph Feleppa
金额：
$ 72.33万
依托单位：
RIVERSIDE RESEARCH INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-08-09 至 2015-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7989004
关键词：
Ablation Achievement Acoustics Address Adverse effects Area Atlas of Cancer Mortality in the United States Biological Neural Networks Biopsy Biopsy Specimen Bladder Blood Blood Vessels Chemicals Classification Clinical Computer Assisted Cryosurgery Data Data Analyses Databases Detection Developed Countries Development Diagnosis Diffusion Disease Disease Progression Drug Formulations Engineering Frequencies Generations Gland Goals Health Histocompatibility Testing Histology Image Israel Lead Machine Learning Magnetic Resonance Magnetic Resonance Imaging Malignant Neoplasms Malignant neoplasm of prostate Mechanics Medical center Metabolic Methods Microscopic Modality Monitor Morphologic artifacts NIH Program Announcements Neoplasm Metastasis Nerve Operating Rooms Operative Surgical Procedures Patients Performance Perfusion Process Property Prostate Prostate Cancer therapy Prostate-Specific Antigen Prostatectomy Quantitative Evaluations ROC Curve Radio Radiosurgery Rectum Research Research Institute Resolution Risk Sensitivity and Specificity Serum Signal Transduction Specimen Spectrum Analysis Staging Structure of base of prostate Surface System Technical Expertise Techniques Technology Time Tissues Ultrasonography United States Universities Urethra Ursidae Family base blind cancer diagnosis cancer imaging cancer therapy computerized cost experience high risk image registration imaging modality improved instrument instrumentation interest lymph nodes novel outcome forecast prototype public health relevance quantitative ultrasound quantum response standard care tool treatment planning tumor

Ablation Achievement Acoustics Address Adverse effects Area Atlas of Cancer Mortality in the United States Biological Neural Networks Biopsy Biopsy Specimen Bladder Blood Blood Vessels Chemicals Classification Clinical Computer Assisted Cryosurgery Data Data Analyses Databases Detection Developed Countries Development Diagnosis Diffusion Disease Disease Progression Drug Formulations Engineering Frequencies Generations Gland Goals Health Histocompatibility Testing Histology Image Israel Lead Machine Learning Magnetic Resonance Magnetic Resonance Imaging Malignant Neoplasms Malignant neoplasm of prostate Mechanics Medical center Metabolic Methods Microscopic Modality Monitor Morphologic artifacts NIH Program Announcements Neoplasm Metastasis Nerve Operating Rooms Operative Surgical Procedures Patients Performance Perfusion Process Property Prostate Prostate Cancer therapy Prostate-Specific Antigen Prostatectomy Quantitative Evaluations ROC Curve Radio Radiosurgery Rectum Research Research Institute Resolution Risk Sensitivity and Specificity Serum Signal Transduction Specimen Spectrum Analysis Staging Structure of base of prostate Surface System Technical Expertise Techniques Technology Time Tissues Ultrasonography United States Universities Urethra Ursidae Family base blind cancer diagnosis cancer imaging cancer therapy computerized cost experience high risk image registration imaging modality improved instrument instrumentation interest lymph nodes novel outcome forecast prototype public health relevance quantitative ultrasound quantum response standard care tool treatment planning tumor

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项目摘要

DESCRIPTION (provided by applicant): Riverside Research Institute, Beth Israel Deaconess Medical Center, Rutgers University, and the General Electric Corporation propose to undertake an Academic-Industrial Partnership study to improve prostate- cancer (PCA) imaging markedly and thereby improve prostate-biopsy guidance to detect PCa; enhance monitoring, surveillance, and treatment of PCa; and enable planning and execution of focal PCa therapy. The project is highly significant because it addresses a major health problem in the United States and other developed countries. The project will overcome the current inability of established clinical-imaging method to image PCa reliably by combining the capabilities of advanced ultrasound (US) and magnetic-resonance (MR) techniques in a clinically effective manner. The proposed approach will exploit the sensitivity of US to mechanical properties of tissue on a microscopic scale with the sensitivity of MR to chemical constituents of tissue and its ability to sense blood distribution. Each of these modalities senses different and independent properties of tissue and has shown encouraging potential for improved imaging of PCa when used alone; combining parameters derived from each modality can provide far superior sensitivity and specificity for PCa. We will combine US and MR parameters using advanced classifiers such as artificial neural networks and support-vector machines. These classifiers already have produced ROC-curve areas of 0.91 for advanced US methods, and the MR methods have demonstrated equivalent ROC-curve areas in many studies. We will embody the combined capabilities in specifications for a prototype imaging system that can generate prostate tissue-typing images (TTIs) in real-time for targeting biopsies or planning treatment in the operating room or in an off-line setting. The latest Logiq E9 instrument currently being produced by GE already has a capability for fusing previously obtained MR images with US images in real time, which provides an existing framework for combining US and MR parameters and generating real-time TTIs. Successfully generating reliable prostate TTIs based on combined US and MR parameters will represent a quantum advance in PCa management by enabling significant improvements in the diagnosis and treatment of PCa. PUBLIC HEALTH RELEVANCE: Riverside Research Institute, Beth Israel Deaconess Medical Center, Rutgers University, and the General Electric Corporation propose to undertake an Academic-Industrial Partnership study to improve prostate- cancer (PCA) imaging markedly and thereby improve prostate-biopsy guidance; enhance monitoring, surveillance, and treatment of PCa; and enable planning and execution of focal PCa therapy. The project will combine attributes of advanced ultrasound and magnetic-resonance techniques and embody them in a prototype imaging system capable of generating novel tissue-type images that reliably depict PCa in real-time.

描述（由申请人提供）：河滨研究所，贝丝以色列女执事医学中心，罗格斯大学和通用电气公司提议进行一项学术工业合作伙伴研究，以显着改善前列腺癌（PCA），从而改善了前列腺生物疾病的指导，以检测PCA；增强PCA的监视，监视和治疗；并启用焦点PCA疗法的计划和执行。该项目非常重要，因为它解决了美国和其他发达国家的主要健康问题。该项目将通过以临床有效的方式相结合高级超声（US）和磁性（MR）技术的能力来克服当前已建立的临床成像方法来可靠地对PCA进行成像。所提出的方法将利用美国对组织的机械性能的敏感性，具有MR对组织的化学成分及其感知血液分布的能力的敏感性。这些模式中的每一个都感受到组织的不同和独立的特性，并在单独使用时表现出了令人鼓舞的PCA成像的潜力。从每种模式得出的参数结合可以为PCA提供较高的灵敏度和特异性。我们将使用高级分类器（例如人工神经网络和支持矢量机）结合我们和MR参数。这些分类器已经为美国高级方法产生了0.91的ROC-Curve区域，并且在许多研究中，MR方法证明了同等的Roc-Curve区域。我们将在原型成像系统的规格中体现合并功能，该功能可以实时生成前列腺组织型图像（TTI），以针对手术室或在离线环境中进行针对活检或计划治疗。 GE当前正在生产的最新Logiq E9仪器已经具有实时融合以前获得的MR图像的能力，该仪器可实时与US Images进行融合，该图像提供了将我们和MR参数组合并生成实时TTI的现有框架。基于联合我们的合并和MR参数成功生成可靠的前列腺TTI，将通过在PCA的诊断和治疗方面显着改善PCA管理中的量子进步。公共卫生相关性：河滨研究所，贝丝以色列执事医学中心，罗格斯大学和通用电气公司提议进行一项学术工业合作伙伴研究，以显着改善前列腺癌（PCA）的想象，从而改善了前列腺 - 生物疾病的指导；增强PCA的监视，监视和治疗；并启用焦点PCA疗法的计划和执行。该项目将结合先进的超声和磁性技术的属性，并在能够生成新型组织型图像的原型成像系统中体现它们，这些图像可靠地实时描述PCA。