Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Magn Reson Med. 2017 Aug;78(2):588-597. doi: 10.1002/mrm.26396. Epub 2016 Sep 8.
To detect, map, and quantify a novel nuclear Overhauser enhancement (NOE)-mediated magnetization transfer (MT) with water at approximately -1.6 ppm [NOE(-1.6)] in rat brain using MRI.
Continuous wave MT sequences with a variety of radiofrequency irradiation powers were optimized to achieve the maximum contrast of this NOE(-1.6) effect at 9.4 T. The distribution of effect magnitudes, resonance frequency offsets, and line widths in healthy rat brains and the differences of the effect between tumors and contralateral normal brains were imaged and quantified using a multi-Lorentzian fitting method. MR measurements on reconstituted model phospholipids as well as two cell lines (HEK293 and 9L) were also performed to investigate the possible molecular origin of this NOE.
Our results suggest that the NOE(-1.6) effect can be detected reliably in rat brain. Pixel-wise fittings demonstrated the regional variations of the effect. Measurements in a rodent tumor model showed that the amplitude of NOE(-1.6) in brain tumor was significantly diminished compared with that in normal brain tissue. Measurements of reconstituted phospholipids suggest that this effect may originate from choline phospholipids.
NOE(-1.6) could be used as a new biomarker for the detection of brain tumor. Magn Reson Med 78:588-597, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
利用 MRI 在大鼠脑中检测、定位和量化一种新的核 Overhauser 增强(NOE)介导的磁共振转移(MT),水的共振频率约为-1.6ppm[NOE(-1.6)]。
优化了具有多种射频辐射功率的连续波 MT 序列,以在 9.4T 时实现该 NOE(-1.6)效应的最大对比度。使用多洛伦兹拟合方法对健康大鼠脑中和肿瘤与对侧正常脑之间的效应幅度、共振频率偏移和线宽分布进行成像和定量。还对重组模型磷脂以及两种细胞系(HEK293 和 9L)进行了 MR 测量,以研究这种 NOE 的可能分子起源。
我们的结果表明,NOE(-1.6)效应可以在大鼠脑中可靠地检测到。像素级拟合显示了该效应的区域变化。在啮齿动物肿瘤模型中的测量表明,与正常脑组织相比,脑肿瘤中 NOE(-1.6)的幅度明显降低。重组磷脂的测量表明,这种效应可能源自胆碱磷脂。
NOE(-1.6)可作为检测脑肿瘤的新生物标志物。磁共振医学杂志 78:588-597, 2017。© 2016 国际磁共振学会。