CLINICAL LACTATE IMAGING BY LACTATE SELECTIVE SPECTROSCOPY

通过乳酸选择性光谱进行临床乳酸成像

• 批准号: 8361957
• 负责人: Eric Albert Mellon
• 金额: $ 0.77万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8361957
• 关键词: 3-Dimensional; Animals; Clinical; Detection; Fatty acid glycerol esters; Funding; Goals; Grant; Image; Magnetic Resonance; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Metabolism; National Center for Research Resources; Neoplasm Metastasis; Pathologic; Physiological; Positron-Emission Tomography; Principal Investigator; Radioactive Tracers; Research; Research Infrastructure; Resources; Signal Transduction; Slice; Source; Spectrum Analysis; Techniques; United States National Institutes of Health; base; cost; glucose uptake; in vivo; optical imaging; quantum; tumor

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. A switch to anaerobic metabolism and a resultant local increase in lactate is noted in the malignant progression of most cancers. The associated increase in glucose uptake to compensate for the inefficient anaerobic metabolism is the basis for detection of tumor metastasis by 2-flouorodeoxyglucose positron emission tomography (FDG-PET). It is hoped that improvements in the MRI detection of lactate will give the same information as FDG-PET without the need for radioactive tracers. Currently, two challenges stand in the way of MRI detection of lactate, the low signal produced fromlactate and the difficulties in separating fat signal from lactate signal. The selective multiple quantum coherence (Sel-MQC) technique offers several advantages over other sequences. Without going into technical detail, this sequence offers promise for the clinical detection of lactate by full separation of fat and lactate signals as well as optimization of lactate signal strength. While single slice versions and very recently a 3-dimensional version of this technique have been used for small animals, rarely is lactate editing realized on clinical scanners. To the goal of clinical utilization of MRI detection of lactate for tumor detection, we have recently demonstrated 3D Sel-MQC lactate imaging with clinical hardware. This research is currently being applied to the detection of lactate in a variety of pathologic/physiologic conditions in vivo.

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 在恶性肿瘤中，注意到向无氧代谢的转变和由此产生的局部乳酸盐增加。 大多数癌症的进展。葡萄糖摄取的相关增加，以补偿 无氧代谢效率低下是通过检测肿瘤转移的基础。 2-氟脱氧葡萄糖正电子发射断层扫描（FDG-PET）。希望改进 在MRI中，乳酸盐的检测将提供与FDG-PET相同的信息，而不需要 放射性示踪剂目前，两个挑战阻碍了乳酸的MRI检测，即低乳酸水平。 脂肪信号与乳酸信号分离的困难。的 选择性多量子相干（Sel-MQC）技术提供了优于其它技术的几个优点。 序列的在不涉及技术细节的情况下，该序列为临床应用提供了希望。 通过脂肪和乳酸信号的完全分离以及乳酸的优化来检测乳酸 信号强度虽然单切片版本和最近的三维版本， 尽管乳酸盐编辑技术已经用于小动物，但很少在临床扫描仪上实现乳酸盐编辑。 为了将MRI检测乳酸用于肿瘤检测的临床应用，我们最近 使用临床硬件演示了3D Sel-MQC乳酸盐成像。这项研究目前 应用于体内多种病理/生理条件下乳酸的检测。