Small Animal Imaging Resource

加州大学圣迭戈分校放射科已经实施了一个小动物影像资源(SAIR)来 支持加州大学圣迭戈分校和圣地亚哥生物研究社区的癌症研究。修道院位于 拉霍亚的丽贝卡和约翰·摩尔斯加州大学圣迭戈分校综合癌症中心(CC)的间隔膜 校园里。该设施支持ICMIC调查人员和加州大学圣迭戈分校癌症研究的努力 调查人员随后在校园和全市范围内努力。一些非UCSD的潜在用户包括：Sidney 基梅尔CC、斯克里普斯、伯纳姆和索尔克研究所，以及圣地亚哥生物技术公司。 UCSD SAIR将提供MRI、光学、CT、超声波、高分辨率平面伽马成像，以及 啮齿动物的宠物，以及瘦全身的高分辨率数字放射自显影和荧光成像 啮齿类动物的切片。除MRI外，所有检查均位于CC间隔区附近的一个部位。支持和 专业知识包括光学成像、动物支持、图像计算、磁共振和光学硬件和软件， 诊断试剂化学，包括回旋加速器的放射化学，分析化学，动力学模型， 信息学、组织学和血管化实体肿瘤模型，以经济有效的方式筛选成像范例。 我们的主要重点将是获取用于运动建模的图像。出于这个原因，动力学 建模服务将开发自动数据约简方案。我们以前使用的经验 来自临床研究的受体密度测量的动力学模型使我们确信 图像数据集的简化路径必须是完全自动化的。这有两个原因：一是 是高吞吐量，其次也是更重要的是没有操作员的干预和 消除操作员偏见。后者对于严格的统计分析(由ICMIC进行)是必不可少的 生物统计服务)的成像和生化/生理指标。 高分辨率超声成像将允许量化肿瘤大小以及测量左侧 用于正电子发射计算机断层扫描采样输入功能恢复校正的心室容量。最重要的是，它将允许 使用原位肿瘤模型。超声波对小鼠癌症研究的一个关键贡献是成像的能力 以无菌方式进行，而且不需要麻醉。这应该允许频繁地监控 干预后肿瘤生长或消退。 ICMIC成像核心的成员将与动物模型与关怀和动物模型的同事们密切互动 IMCIC生物统计服务。我们的目标将是确定最有效的成像模型和 对动物的有效利用。这将通过至少一名成员的每周会议来实现 每个核心。这些会议将包括：1)与新的PIS会面，以开发新的成像项目 组成新的IACUC协议，以及2)在IACUC之前对完成的IACUC协议进行审查 呈件。

The Department of Radiology at UCSD has implemented a Small Animal Imaging Resource (SAIR) to support cancer research at UCSD and the San Diego bioresearch community. The SAIR is located in the vivarium at the Rebecca and John Moores UCSD Comprehensive Cancer Center (CC) on the La Jolla campus. This facility supports the efforts of the ICMIC investigators and the UCSD cancer research investigators and then Campus and city-wide efforts. Some non-UCSD potential users include: Sidney Kimmel CC, Scripps, Burnham and Salk Institutes, and the San Diego biotech companies. The UCSD SAIR will provide MRI, optical, CT, ultrasound, High-Resolution planar gamma imaging, and PET of rodents, as well as high-resolution digital autoradiography and fluorescent imaging of thin whole body rodent sections. Except for MRI, all modalities are at one site adjacent to the CC vivarium. Support and expertise includes optical imaging, animal support, image computation, MR & optical hardware and software, diagnostic agent chemistry, radiochemistry including a cyclotron, analytical chemistry, kinetic modeling, informatics, histology, and a vascularized solid tumor model to cost-effectively screen imaging paradigms. Our primary emphasis will be the acquisition of images for kinetic modeling. For this reason the kinetic modeling service will develop automated data reduction schemes. Our previous experience with the use of kinetic modeling for receptor density measurement from clinical studies has convinced us that the data reduction path from the image data set must be completely automated. There are two reasons for this: first is high throughput, and second and more important is the absence of operator intervention and the elimination of operator bias. This latter quality is essential for rigorous statistical analysis (by the ICMIC Biostatistics Service) of the imaging and biochemical/physiologic metrics. High-resolution ultrasound imaging will permit quantification of tumor size as well as measurement of left ventricular volume for recovery correction of PET sampled input functions. Most importantly, it will permit the use of in situ tumor models. A key contribution of ultrasound to cancer research in mice is the ability to image in sterile fashion and to do so without the need for anesthesia. This should permit frequent monitoring of tumor growth or regression following interventions. Members of the ICMIC Imaging Core will interact closely with colleagues of the Animal Models & Care and the IMCIC Biostatistics Service. Our goal will be the identification of the most effective imaging model and the efficient use of animals. This will be accomplished by weekly meetings of at least one member from each Core. These meetings will include: 1) meetings with new Pis to develop new imaging projects prior to composing new IACUC protocols, and 2) the review of completed IACUC protocols prior to IACUC submission.