Quantitative FDG-PET for Imaging Woodchuck HCC

用于土拨鼠 HCC 成像的定量 FDG-PET

• 批准号: 6949550
• 负责人: Zhenghong Lee
• 金额: $ 38.24万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6949550
• 关键词: autoradiography; bioimaging /biomedical imaging; biomarker; cell proliferation; computed axial tomography; deoxyglucose; disease /disorder model; hepatocellular carcinoma; histopathology; marmots; neoplasm /cancer classification /staging; neoplastic cell; p53 gene /protein; positron emission tomography; prognosis; sectioning; technology /technique development

DESCRIPTION (provided by applicant): This research is part of a larger, long-term effort to aid the development of radiological interventions based on in vivo multimodal imaging, mainly quantitative PET imaging, for cancer diagnosis and treatment. These image-guided interventional procedures include biopsy, minimally invasive drug delivery and tumor ablation. Currently, PET imaging using [18F]-fluorodeoxyglucose (FDG) for tumor-detection does not utilize its full clinical potential. Accordingly, our research project addresses the correlation between PET measured tracer transport rate parameters (for FDG in this project) and histopathologically evaluated cancer prognostic factors. These cancer prognostic factors include pathologic type and grade, proliferation rate, p53 expression, etc. They are more useful for patient categorization, more crucial for treatment decisions, and more important for early assessment of the outcome of interventional procedures because they provide cellular level information as well as the microenvironment of the cancer. Our initial objective is to establish the woodchuck model of Hepatocellular Carcinoma (HCC) for quantitative FDG-PET imaging. Through multimodal imaging, we will align images from PET, CT and histology. Using functional analysis, we will correlate FDG transport parameters with cancer prognostic factors. We have assembled a strong research team with the needed expertise to accomplish our goal this BRG project. We hope that such correlation, if established, will lead to more successful cancer prognosis and early prediction of treatment efficacy and will thus have a huge impact on patient management. The methodology developed in this research can be applied to other tracers and used for other problem-specific research.

描述（由申请人提供）： 这项研究是一项更大的长期努力的一部分，以帮助基于体内多模式成像（主要是定量的PET成像）进行癌症诊断和治疗的放射学干预措施的发展。这些图像引导的介入程序包括活检，微创药物输送和肿瘤消融。当前，使用[18F] - 氟脱氧葡萄糖（FDG）进行肿瘤检测的PET成像不会利用其全部临床潜力。因此，我们的研究项目解决了PET测得的示踪剂传输速​​率参数（该项目中的FDG）与组织病理学评估的癌症预后因素之间的相关性。这些癌症的预后因素包括病理类型和等级，增殖率，p53表达等。它们对患者分类更有用，对于治疗决策更为重要，对于早期评估介入程序的结果更为重要，因为它们提供了细胞水平信息以及癌症的微环境。我们的最初目标是建立用于定量FDG-PET成像的肝细胞癌（HCC）的木制模型。通过多模式成像，我们将使PET，CT和组织学的图像对齐。使用功能分析，我们将将FDG转运参数与癌症的预后因素相关联。我们已经组建了一个强大的研究团队，具有所需的专业知识来实现​​这个BRG项目的目标。我们希望，如果建立这种相关性，将导致更成功的癌症预后和治疗功效的早期预测，从而对患者管理产生巨大影响。本研究中开发的方法可以应用于其他示踪剂，并用于其他特定于问题的研究。