Literature DB >> 20832225

Noninvasive evaluation of cerebral glioma grade by using multivoxel 3D proton MR spectroscopy.

QingShi Zeng1, HePeng Liu, Kai Zhang, ChuanFu Li, GengYin Zhou.   

Abstract

OBJECTIVE: To determine whether metabolite ratios in multivoxel 3D proton MR spectroscopy (¹H MRS) is different between low-grade and high-grade gliomas and may be useful for glioma grading.
MATERIALS AND METHODS: Thirty-nine patients (23 male and 16 female; 22-75 years old; mean age, 44.92±12.65 years) suspected of having gliomas underwent 3D ¹H MRS examinations. Metabolite ratios [choline (Cho)/creatine (Cr), N-acetylaspartate (NAA)/Cr and Cho/NAA] were measured. Tumor grade was determined by using the histopathologic grading. Receiver operating characteristic analysis of metabolite ratios was performed, and optimum thresholds for tumor grading were determined. The resulting sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for identifying high-grade gliomas were calculated.
RESULTS: Diagnostic-quality 3D ¹H MRS with readily quantifiable Cho, Cr and NAA peaks was obtained in 94.87% of the cases. The Cho/Cr and Cho/NAA ratios were significantly higher in high-grade than in low-grade glioma (P<.001), whereas the NAA/Cr ratios were significantly lower in high-grade than in low-grade glioma (P<.001). Receiver operating characteristic analysis demonstrated a threshold value of 2.04 for Cho/Cr ratio to provide sensitivity, specificity, PPV and NPV of 84.00%, 83.33%, 91.30% and 71.43%, respectively. Threshold value of 2.20 for Cho/NAA ratio resulted in sensitivity, specificity, PPV and NPV of 88.00%, 66.67%, 84.62% and 72.73%, respectively. Overall diagnostic accuracy was not statistically significantly different between Cho/Cr and Cho/NAA ratios (χ²=0.093, P=.76).
CONCLUSION: Metabolite ratios of low-grade gliomas were significantly different from high-grade gliomas. Cho/Cr and Cho/NAA ratios could have the superior diagnostic performance in predicting the glioma grade.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20832225     DOI: 10.1016/j.mri.2010.07.017

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  17 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

2.  Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.

Authors:  G Ranjith; R Parvathy; V Vikas; Kesavadas Chandrasekharan; Suresh Nair
Journal:  Neuroradiol J       Date:  2015-04-28

Review 3.  Choline metabolism in malignant transformation.

Authors:  Kristine Glunde; Zaver M Bhujwalla; Sabrina M Ronen
Journal:  Nat Rev Cancer       Date:  2011-11-17       Impact factor: 60.716

4.  Lack of choline elevation on proton magnetic resonance spectroscopy in grade I-III gliomas.

Authors:  Sanjeev Chawla; Seung-Cheol Lee; Suyash Mohan; Sumei Wang; MacLean Nasrallah; Arastoo Vossough; Jaroslaw Krejza; Elias R Melhem; S Ali Nabavizadeh
Journal:  Neuroradiol J       Date:  2019-05-03

5.  Role of Multivoxel Intermediate TE 2D CSI MR Spectroscopy and 2D Echoplanar Diffusion Imaging in Grading of Primary Glial Brain Tumours.

Authors:  Abhishek Aggarwal; Pankaj Kumar Das; Arvind Shukla; Sagar Parashar; Mohini Choudhary; Arpit Kumar; Narendra Kumar; Shyamoli Dutta
Journal:  J Clin Diagn Res       Date:  2017-06-01

Review 6.  The Role of Advanced Brain Tumor Imaging in the Care of Patients with Central Nervous System Malignancies.

Authors:  K Ina Ly; Elizabeth R Gerstner
Journal:  Curr Treat Options Oncol       Date:  2018-06-21

Review 7.  Evaluation of the diagnostic performance of magnetic resonance spectroscopy in brain tumors: a systematic review and meta-analysis.

Authors:  Wenzhi Wang; Yumin Hu; Peiou Lu; Yingci Li; Yunfu Chen; Mohan Tian; Lijuan Yu
Journal:  PLoS One       Date:  2014-11-13       Impact factor: 3.240

8.  Spectroscopic evaluation of glioma grading at 3T: the combined role of short and long TE.

Authors:  E Kousi; I Tsougos; E Tsolaki; K N Fountas; K Theodorou; I Fezoulidis; E Kapsalaki; C Kappas
Journal:  ScientificWorldJournal       Date:  2012-07-31

9.  Convex-Envelope Based Automated Quantitative Approach to Multi-Voxel 1H-MRS Applied to Brain Tumor Analysis.

Authors:  Weibei Dou; Mingyu Zhang; Xiaojie Zhang; Yuan Li; Hongyan Chen; Shaowu Li; Min Lu; Jianping Dai; Jean-Marc Constans
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

Review 10.  The role of imaging in the management of adults with diffuse low grade glioma: A systematic review and evidence-based clinical practice guideline.

Authors:  Sarah Jost Fouke; Tammie Benzinger; Daniel Gibson; Timothy C Ryken; Steven N Kalkanis; Jeffrey J Olson
Journal:  J Neurooncol       Date:  2015-11-03       Impact factor: 4.130

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.