Imaging Core

这个核心的目的是为P01的所有项目提供高度的研究和 需要临床影像支持，以便于收集影像引导的手术标本和系列 对治疗反应的评估。核心职能将包括开发新方法、翻译 将项目中开发的技术从当前周期和即将到来的周期 诊所。该核心将由经验丰富的调查人员组成，他们具有广泛的专业知识，并在 一起工作，以及与他们的合作者。主要有五个目标： (1)翻译高级磁共振数据采集协议和在 P01当前周期从研究到临床扫描仪，并在#年为其提供持续维护 以适应临床实践的变化，以及扫描仪硬件或软件的更新。 (2)发展和维持分析、可视化和解释的后处理能力 多参数多维成像检查在项目1、2和3中的应用 强调提供一致和可靠的指标来描述肿瘤的异质性和空间范围。 (3)为支持术前影像数据的采集和分析， 感兴趣的图像引导组织样本的收集从基底膜患者，使肿瘤 异质性可以在成像、组织学和基因组特性的背景下进行研究，如 项目1、2和3。 (4)提供更完善的定量分析方法，以促进生理学和 代谢磁共振参数纳入当前的RANO标准，因此提供了更可靠和一致的 参与项目1和项目3的基底膜患者的肿瘤负担变化的评估。 (5)建立一个多层面、多层次、多学科的绿色管理特征数据库。 来自组织病理学、免疫组织化学、基因组学、动物模型、生理学和 代谢成像和临床信息，以允许所有项目对其数据进行系统分析。

The purpose of this Core is to provide to all Projects of the P01 with the high degree of research and clincial imaging support required to facilitate the collection of image guided surgical specimens and the serial assessment of response to therapy. Core functions will include the development of new methods, translation and maintenance of technologies developed in the Projects from the current and upcoming cycles into the clinic. The Core will comprise experienced investigators with broad expertise and a proven track record in working together, as well as with their collaborators. There are five major aims: (1) To translate the advanced MR data acquisition protocols and pulse sequences developed in the current cycle of the P01 from research to clinical scanners and to provide ongoing maintenance for them in order to accommodate changes in clinical practice, as well as updates to the scanner hardware or software. (2) To develop and maintain post-processing capabilities for analysis, visualization and interpretation of the multi-parametric and multi-dimensional imaging examinations used in Projects 1, 2 and 3 with a special emphasis on providing consistent and reliable metrics to describe tumor heterogeneity and spatial extent. (3) To support the acquisition and analysis of pre-surgery imaging data, the selection of targets of interest and the collection of image guided tissue samples from patients with GBM so that tumor heterogeneity can be studied in the context of imaging, histological and genomic properties as required in Projects 1, 2 and 3. (4) To provide improved quantitative analysis methods that will facilitate the integration of physiologic and metabolic MR parameters into the current RANO criteria and hence provide a more reliable and consistent assessment of changes in tumor burden for patients with GBM who are participating in Projects 1 and 3. (5) To develop a multi-faceted, multi-layered, and multi-disciplinary database of GBM characteristics of information from histopathology, immunohistochemistry, genomics, animal models, physiologic and metabolic imaging, and clinical information to allow all Projects to perform a systematic analysis of their data.