CLINICAL LACTATE IMAGING BY LACTATE SELECTIVE SPECTROSCOPY

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。 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。 乳酸产生的脂肪信号和分离脂肪信号与乳酸信号的困难。 选择性多量子相干（Sel-MQC）技术提供了几个优点， 其他序列。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。 这项研究目前正在 应用于体内多种病理/生理条件下的乳酸检测。

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.