Literature DB >> 15859012

Assessment of malignancy in gliomas by 3T 1H MR spectroscopy .

Sin-Soo Jeun1, Moon-Chan Kim, Bum-Soo Kim, Jae-Mun Lee, Sung-Taek Chung, Chang-Hyun Oh, Soo-Yeol Lee, Bo-Young Choe.   

Abstract

The purpose of this study was to assess clinical 1H MR spectroscopy (MRS) as a noninvasive method for evaluating brain tumor malignancy at 3T high-field system. Using 3T MRI/MRS system, localized water-suppressed single-voxel technique in patients with brain tumor (i.e., gliomas) was employed to evaluate spectra with peaks of N-acetyl aspartate (NAA), choline-containing compounds (Cho), creatine/phosphocreatine (Cr) and lactate. On the basis of Cr, these peak areas were quantitated as a relative ratio. The variation of metabolite measurements of the designated region in 10 normal volunteers was less than 10%. Normal ranges of NAA/Cr and Cho/Cr ratios were 1.67+/-018 and 1.16+/-0.15, respectively. NAA/Cr ratio of gliomas was significantly lower than that of the normal tissues (P= .005), but Cho/Cr ratio of gliomas was significantly higher (P= .001). Cho/Cr ratio of high-grade gliomas was significantly higher than that of low-grade gliomas. The present study demonstrated that the neuronal degradation or loss was observed in all gliomas. Higher-grade glioma was correlated with higher Cho/Cr ratio, indicating a significant dependence of Cho levels on malignancy of gliomas. Our results suggest that clinical 1H MR spectroscopy could be useful to predict tumor malignancy.

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Year:  2005        PMID: 15859012     DOI: 10.1016/j.clinimag.2004.03.004

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  2 in total

Review 1.  The diagnostic performance of magnetic resonance spectroscopy in differentiating high-from low-grade gliomas: A systematic review and meta-analysis.

Authors:  Qun Wang; Hui Zhang; JiaShu Zhang; Chen Wu; WeiJie Zhu; FangYe Li; XiaoLei Chen; BaiNan Xu
Journal:  Eur Radiol       Date:  2015-10-15       Impact factor: 5.315

Review 2.  Magnetic resonance spectroscopy in metabolic and molecular imaging and diagnosis of cancer.

Authors:  Kristine Glunde; Dmitri Artemov; Marie-France Penet; Michael A Jacobs; Zaver M Bhujwalla
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

  2 in total

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