Hattingen Elke, Pilatus Ulrich, Franz Kea, Zanella Friedhelm E, Lanfermann Heinrich
Institute of Neuroradiology, Johann Wolfgang Goethe University of Frankfurt/Main, Frankfurt, Germany.
J Magn Reson Imaging. 2007 Aug;26(2):427-31. doi: 10.1002/jmri.20985.
To compare the spectral quality of short echo time (TE) MR spectroscopic imaging (MRSI, TE = 30 msec) with long-TE MRSI (TE = 144 msec) at 3 Tesla in normal brain and tumor tissue.
Spectroscopic imaging (chemical-shift imaging (CSI)) data of 32 patients with histopathological confirmed brain lesions were acquired at 3 Tesla (3T) using TEs of 30 msec and 144 msec. Tumor-relevant metabolites (trimethylamine (TMA), creatine compounds (tCr), and N-acetylated compounds (tNAA)) were analyzed with LCModel software, which applies prior knowledge by performing a frequency domain fit using a linear combination of model spectra.
Short-TE spectra provided up to twice the signal-to-noise ratio (SNR) compared to TE = 144 msec. The estimated fitting error was improved up to 30% for TMA and tCr, but was slightly reduced (10%) for tNAA. Quantification in terms of absolute concentrations was consistent at both TEs.
Since other metabolites observable at TE < 30 msec may be of diagnostic relevance, short-TE MRSI should be the preferred method at 3T for the evaluation of focal lesions in brain tissue; however, TE = 144 msec can serve as an option for MRS in regions with potential baseline problems.
比较3特斯拉场强下正常脑和肿瘤组织中短回波时间(TE)磁共振波谱成像(MRSI,TE = 30毫秒)与长TE MRSI(TE = 144毫秒)的波谱质量。
对32例经组织病理学证实有脑病变的患者,在3特斯拉场强下采用30毫秒和144毫秒的TE获取磁共振波谱成像(化学位移成像(CSI))数据。使用LCModel软件分析与肿瘤相关的代谢物(三甲胺(TMA)、肌酸化合物(tCr)和N - 乙酰化化合物(tNAA)),该软件通过使用模型波谱的线性组合进行频域拟合来应用先验知识。
与TE = 144毫秒相比,短TE波谱的信噪比(SNR)提高了两倍。TMA和tCr的估计拟合误差改善了30%,但tNAA的拟合误差略有降低(10%)。两种TE下绝对浓度的定量结果一致。
由于在TE < 30毫秒时可观察到的其他代谢物可能具有诊断意义,短TE MRSI应是3特斯拉场强下评估脑组织局灶性病变的首选方法;然而,对于存在潜在基线问题的区域,TE = 144毫秒可作为磁共振波谱分析的一种选择。