CT IMAGING OF BLOOD VESSEL IN TRANSGENIC MOUSE MODELS FOR HUMAN TUMORS

人类肿瘤转基因小鼠模型中血管的 CT 成像

• 批准号: 7957217
• 负责人: CHRISTOPHER R. JOHNSON
• 金额: $ 9.02万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7957217
• 关键词: Animals; Biomedical Computing; Blood; Blood Vessels; Blood Volume; Caliber; Collaborations; Computer Retrieval of Information on Scientific Projects Database; Contrast Media; Funding; Grant; Guidelines; Human; Image; Imagery; Institution; Life; Magnetic Resonance Imaging; Methods; Mus; Research; Research Personnel; Resources; Scanning; Source; Therapy Clinical Trials; Time; Transgenic Mice; United States National Institutes of Health; Visual; X-Ray Computed Tomography; angiogenesis; density; instrument; mouse model; pre-clinical; tool; tumor

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Small animal X-ray computed tomography (microCT) is an economical and highly quantitative three-dimensional method for visualizing blood vessels and angiogenesis preclinically, even in comparison to small animal magnetic resonance imaging. In this collaboration, we are developing practical guidelines for rapid, accurate visualization of intermediate to large caliber (greater than 93 micron) blood vessels for serial assessment of vascularity during preclinical therapeutic trials in living mice. Because of the long scan times for most small animal computed tomography instruments, we are using a long-acting blood pool contrast agent. In addition to guidelines, we are also further developing tools to assess vessels through qualitative visual renderings. The same optimized acquisition settings will be necessary for segmentation analysis and will allow quantitative analysis of tumor blood volume, vessel density, vessel caliber, degree of branching, and tortuosity.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 即使与小动物磁共振成像相比，小动物X射线计算机断层扫描（microCT）也是一种用于临床前可视化血管和血管生成的经济且高度定量的三维方法。在这次合作中，我们正在开发实用的指南，用于快速，准确地可视化中大口径（大于93微米）血管，用于在活体小鼠临床前治疗试验期间对血管分布进行系列评估。由于大多数小动物计算机断层扫描仪器的扫描时间较长，我们使用长效血池造影剂。除了指导方针外，我们还在进一步开发工具，通过定性视觉效果图评估船只。 分割分析需要相同的优化采集设置，并允许对肿瘤血容量、血管密度、血管口径、分支程度和迂曲度进行定量分析。