Core Laboratory for Advanced Cancer Image Analysis

1摘要：本提案的目标是为以下具体目标提供先进的技术支持： 2个选定的国家癌症研究所资助的医学成像项目，隶属于华盛顿大学（UW）， 3宾夕法尼亚大学、NCI定量成像网络（QIN）和NCTN ECOG-ACRIN 4合作组。我的医学成像职业生涯始于1985年在华盛顿大学，在那里我很幸运地与博士。 [5] Michael Graham和Alex Spence，他们为肿瘤学的定量分析奠定了基础。我的早期作品 6在PET成像围绕管理动物成像项目，一个完整的生物化学实验室和一个新生的 7人体PET成像程序。作为在NCI资助P01-CA 042045（PI;克罗恩，KA）下开发的PET成像， 8我们转向了人体成像和临床试验研究，利用 9多个PET示踪剂。我开发了对动态PET图像数据的动力学建模的热情，最初是与Dr。 [10] James Bassingwaithe和Michael Graham，以及后来与Tony Shields、大卫曼科夫博士合作， 11珍妮特·埃里、汉娜·林登和保罗·基纳汉，他们都是由国家癌症研究所赠款资助的。作为NCI R50接收者 12（R50-CA 270211），我目前是高级图像分析核心实验室的主任， 13 Kinahan博士的U24（U24-CA 264044）CIRP小组。我有责任参加联合国各工作组的工作， 14 QIN，CIRP，规划PET成像项目，成像协议和设计新的数据分析方法。我 上午15时，我们的UW计划的高级贡献者，以及定量创新方法的提供者 为众多癌症成像项目提供16种图像分析和数据模拟。由于成像的成本， 17辐射剂量和其他问题，我个人的野心是提取尽可能多的定量信息， 18可能来自精心设计和执行的癌症成像研究。我的职业目标是提供独立的， 19，但合作，支持国家癌症研究所赠款的医学成像项目在华盛顿大学，宾夕法尼亚大学， 20 QIN、CIRP和ECOG-ACRIN。此外，我作为ECOG-ACRIN-UW的经理获得了国家认可 21 PET核心实验室，ECOG-ACRIN头颈部成员，实验成像，放射组学，定量 22成像和脑肿瘤委员会，以及NCI/CIP QIN工作组的主要成员。创新 我为动态成像开发的23个协议是提取定量信息的重大改进 24来自动态PET，现在是国家临床试验标准。我定期展示我的高级PET 在国家和国际科学会议（EORTC、SNMMI、WMIC、EMIM、IEEE、ECOG- 26 ACRIN和QIN/NCI），每年出版/审查手稿。在过去的R50期间，我有26篇出版物， 27 6份数据报告和40份演示文稿。总之，我已经开发了一个国家认可的先进实验室， 28图像分析，完全由NCI赠款资助35年。NCI因分享而获得的整体收益 29我在NCI项目中的工作将对现任和新的研究人员产生影响，为他们提供 30种PET/CT和MRI癌症图像数据的定量方法，使用稳健、可重复和经验证的方法。

1 ABSTRACT: The goal of this proposal is to provide technically-advanced support for the specific aims of 2 selected NCI-funded projects for medical imaging affiliated with the University of Washington (UW), The 3 University of Pennsylvania, the NCI Quantitative Imaging Network (QIN), and the NCTN ECOG-ACRIN 4 cooperative group. My medical imaging career began at UW in 1985, where I was fortunate to work with Drs. 5 Michael Graham and Alex Spence, who laid the foundation for quantitative analysis in oncology. My early work 6 in PET imaging revolved around managing animal imaging projects, a full biochemistry lab and a nascent 7 human PET imaging program. As PET imaging developed under NCI grant P01-CA042045 (PI; Krohn, KA), 8 we transitioned to human imaging and clinical trials research, probing various biochemical pathways using 9 many PET tracers. I developed avidity for kinetic modeling of dynamic PET image data, initially with Drs. 10 James Bassingwaithe and Michael Graham, and later in collaboration with Drs. Tony Shields, David Mankoff, 11 Janet Eary, Hannah Linden and Paul Kinahan, all of them funded by NCI grants. As an NCI R50 recipient 12 (R50-CA270211), I am currently Director of a Core Laboratory for Advanced image analysis and a member of 13 Dr. Kinahan’s U24 (U24-CA264044) CIRP team. I have responsibility for participating in working groups of the 14 QIN, CIRP, planning PET imaging projects, imaging protocols and designing novel data analysis methods. I 15 am a senior contributor to our UW program as well as a provider of innovative approaches to quantitative 16 image analysis and data simulations for numerous cancer imaging projects. Due to the cost of imaging, 17 radiation dose and other issues, my personal ambition is to extract as much quantitative information as 18 possible from well-designed and executed cancer imaging studies. My career goal is to provide independent, 19 but collaborative, support for the specific aims of NCI grants for medical imaging projects at UW, UPenn, the 20 QIN, CIRP and ECOG-ACRIN. Additionally, I have national recognition as manager of the ECOG-ACRIN-UW 21 PET Core Lab, a member of the ECOG-ACRIN Head & Neck, Experimental Imaging, Radiomics, Quantitative 22 Imaging and Brain Tumor Committees, and a key member of the NCI/CIP QIN Working Groups. The innovative 23 protocols I developed for dynamic imaging are a substantial improvement for extracting quantitative information 24 from dynamic PET, and are now a national clinical trials standard. I routinely present my advanced PET 25 imaging results at national and international scientific meetings (EORTC, SNMMI, WMIC, EMIM, IEEE, ECOG- 26 ACRIN and QIN/NCI) and publish/review manuscripts annually. Over the last R50 period I had 26 publications, 27 6 data reports and 40 presentations. In summary, I have developed a nationally recognized advanced lab for 28 image analysis, funded entirely through NCI grants for 35 years. The overall benefit NCI receives for sharing 29 my labor across NCI projects will have an impact on current and new investigators, providing them with 30 quantitative methods for PET/CT and MRI cancer image data using robust, repeatable and validated methods.