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: 7723816
• 负责人: Eric Albert Mellon
• 金额: $ 1.63万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7723816
• 关键词: 3-Dimensional; Animals; Clinical; Computer Retrieval of Information on Scientific Projects Database; Condition; Detection; Fatty acid glycerol esters; Funding; Goals; Grant; Image; Institution; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Metabolism; Neoplasm Metastasis; Pathologic; Physiological; Positron-Emission Tomography; Radioactive Tracers; Research; Research Personnel; Resources; Signal Transduction; Slice; Source; Spectrum Analysis; Techniques; United States National Institutes of Health; base; glucose uptake; in vivo; quantum; 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. 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 from lactate 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.

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 在恶性肿瘤中注意到转变为无氧代谢并由此导致局部乳酸增加。 大多数癌症的进展。相关的葡萄糖摄取增加以补偿 低效无氧代谢是检测肿瘤转移的基础 2-氟代脱氧葡萄糖正电子发射断层扫描(FDG-PET)。人们希望这些改进 在MRI中检测乳酸将提供与FDG-PET相同的信息，而不需要 放射性示踪剂。目前，有两个挑战阻碍了乳酸盐的mri检测，即低 由乳酸产生的信号以及从乳酸信号中分离脂肪信号的困难。 选择性多量子相干(SEL-MQC)技术具有以下优点 其他序列。在不涉及技术细节的情况下，该序列为临床提供了希望 脂肪和乳酸信号的完全分离及乳酸的优化检测乳酸 信号强度。虽然单切片版本和最近的三维版本 这项技术已经被用于小动物，很少在临床扫描仪上实现乳酸编辑。 为了将MRI检测乳酸盐用于肿瘤检测的临床应用目标，我们最近进行了 用临床硬件演示了3D SEL-MQC乳酸盐成像。这项研究目前正在进行 适用于体内各种病理/生理条件下乳酸的检测。