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: 7955317
• 负责人: Eric Albert Mellon
• 金额: $ 1.67万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955317
• 关键词: 3-Dimensional; Animals; Clinical; Computer Retrieval of Information on Scientific Projects Database; Detection; Fatty acid glycerol esters; Funding; Goals; Grant; Image; Institution; Magnetic Resonance; 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; optical imaging; 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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 在恶性肿瘤中发现了转向厌氧代谢和乳酸的局部增加的局部增加 大多数癌症的进展。相关的葡萄糖吸收增加以补偿 厌氧代谢效率低下是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检测中，乳酸将提供与FDG-PET相同的信息，而无需 放射性示踪剂。目前，两个挑战阻碍了乳酸的MRI检测方式，低 由乳酸产生的信号以及将脂肪信号与乳酸信号分开的困难。 选择性多重量子相干性（SEL-MQC）技术具有多种优势 其他序列。无需进入技术细节，这个序列为临床提供了希望 通过完全分离脂肪和乳酸信号以及乳酸优化来检测乳酸 信号强度。虽然单片版本以及最近的三维版本 技术已用于小动物，很少在临床扫描仪上乳酸编辑。 为了临床利用MRI检测乳酸检测肿瘤检测的目的，我们最近有了 使用临床硬件展示了3D SEL-MQC乳酸成像。 这项研究目前正在 应用于体内多种病理/生理条件下乳酸的检测。