Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy

Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy
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DOI:
10.1002/mrm.10367
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发表时间:
2003-02-01
影响因子:
3.3
通讯作者:
Griffiths, JR
Griffiths, JR
中科院分区:
医学3区
文献类型:
--
作者:
Howe, FA;Barton, SJ;Griffiths, JR

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质子波谱可以无创地提供关于脑肿瘤类型和分级的有用信息。从正常白色物质(NWM)、脑膜瘤、II级星形细胞瘤、间变性星形细胞瘤、胶质母细胞瘤和转移瘤中获得短(30 ms)和长(136 ms)回波时间(TE)H-1光谱。极低的肌肌醇([ml])和肌酸([Cr])是脑膜瘤的特征,而高[ml]是II级星形细胞瘤的特征。肿瘤胆碱([Cho])大于NWM,并且随着II级和间变性星形细胞瘤的分级而增加,但胶质母细胞瘤的变化很大。高[Cho]和[Cr]与低脂质和低乳酸相关(P < 0.05),表明高级别肿瘤中由于坏死导致代谢物浓度稀释。代谢物峰面积比与脂质和ml/Cho(TE = 30 ms)无相关性,Cr/Cho(TE = 136 ms)与肿瘤分级相关性最好。定量的脂质、大分子和乳酸水平随着肿瘤分级而增加,与从缺氧到坏死的进展一致。在短TE下对脂质和大分子的定量为肿瘤分级提供了良好的标志物,丙氨酸、乳酸和81.3脂质信号之和与ml/Cho的散点图提供了一种简单的方法来按类型和分级分离大多数肿瘤。(C)2003 Wiley-Liss,Inc.
Proton spectroscopy can noninvasively provide useful information on brain tumor type and grade. Short- (30 ms) and long- (136 ms) echo time (TE) H-1 spectra were acquired from normal white matter (NWM), meningiomas, grade II astrocytomas, anaplastic astrocytomas, glioblastomas, and metastases. Very low myo-Inositol ([ml]) and creatine ([Cr]) were characteristic of meningiomas, and high [ml] characteristic of grade II astrocytomas. Tumor choline ([Cho]) was greater than NWM and increased with grade for grade II and anaplastic astrocytomas, but was highly variable for glioblastomas. Higher [Cho] and [Cr] correlated with low lipid and lactate (P < 0.05), indicating a dilution of metabolite concentrations due to necrosis in high-grade tumors. Metabolite peak area ratios showed no correlation with lipids and ml/Cho (at TE = 30 ms), and Cr/Cho (at TE = 136 ms) best correlated with tumor grade. The quantified lipid, macromolecule, and lactate levels increased with grade of tumor, consistent with progression from hypoxia to necrosis. Quantification of lipids and macromolecules at short TE provided a good marker for tumor grade, and a scatter plot of the sum of alanine, lactate, and 81.3 lipid signals vs. ml/Cho provided a simple way to separate most tumors by type and grade. (C) 2003 Wiley-Liss, Inc.