Literature DB >> 21145271

MR spectroscopy differentiation between high and low grade astrocytomas: a comparison between paediatric and adult tumours.

Luciana Porto1, Matthias Kieslich, Kea Franz, Thomas Lehrnbecher, Friedhelm Zanella, Ulrich Pilatus, Elke Hattingen.   

Abstract

OBJECTIVE: To investigate whether pathologically similar astrocytomas in adults and children may also show metabolic similarities in proton magnetic resonance spectroscopy ((1)H-MRS) and whether the MRS data could help to differentiate between low and high grade gliomas for the different groups.
MATERIAL AND METHODS: Twelve children (5 WHO II astrocytomas, 7 WHO III astrocytomas) and 37 adults (21 WHO II astrocytomas, 16 WHO III astrocytomas) were included in this study. MR spectroscopic data were evaluated retrospectively using normalized measures of total choline (tCho), N-acetyl-aspartate (NAA) and total creatine (tCr). These metabolites were used to differentiate between WHO II and WHO III astrocytomas in children and adults. Histopathological grading was performed using WHO criteria. (1)H-MRS was carried out prior to the commencement of any treatment. Signal intensities of tCho, NAA and tCr were normalized to their values in contralateral brain tissue. The resulting concentration ratios were then used to calculate the change in the intratumoural ratio of NAA to tCho. A Mann-Whitney U-Test was performed to evaluate differences within the respective groups.
RESULTS: In both groups, loss of NAA and increase of tCho were more pronounced in WHO III than in WHO II astrocytoma. The best discriminator to differentiate between low and high grade gliomas was found to be the ratio of NAA/tCho (p < 0.01).
CONCLUSION: The normalized metabolite signal intensities ratio NAA to tCho is the most accurate in differentiating between low and high grade astrocytomas in both children and adults.
Copyright © 2010 European Paediatric Neurology Society. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21145271     DOI: 10.1016/j.ejpn.2010.11.003

Source DB:  PubMed          Journal:  Eur J Paediatr Neurol        ISSN: 1090-3798            Impact factor:   3.140


  8 in total

1.  Fast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data.

Authors:  Evangelia Tsolaki; Patricia Svolos; Evanthia Kousi; Eftychia Kapsalaki; Ioannis Fezoulidis; Konstantinos Fountas; Kyriaki Theodorou; Constantine Kappas; Ioannis Tsougos
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07-15       Impact factor: 2.924

2.  Gene mutation profiling of primary glioblastoma through multiple tumor biopsy guided by 1H-magnetic resonance spectroscopy.

Authors:  Chao Tang; Jun Guo; Hong Chen; Cheng-Jun Yao; Dong-Xiao Zhuang; Yin Wang; Wei-Jun Tang; Guang Ren; Yu Yao; Jin-Song Wu; Ying Mao; Liang-Fu Zhou
Journal:  Int J Clin Exp Pathol       Date:  2015-05-01

3.  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

4.  Spectroscopy imaging in intraoperative MR suite: tissue characterization and optimization of tumor resection.

Authors:  Constantin Roder; Marco Skardelly; Kristofer Fingerle Ramina; Rudi Beschorner; Jürgen Honneger; Thomas Nägele; Marcos Soares Tatagiba; Ulrike Ernemann; Sotirios Bisdas
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-10-20       Impact factor: 2.924

Review 5.  Molecular magnetic resonance imaging in cancer.

Authors:  Mohammad Haris; Santosh K Yadav; Arshi Rizwan; Anup Singh; Ena Wang; Hari Hariharan; Ravinder Reddy; Francesco M Marincola
Journal:  J Transl Med       Date:  2015-09-23       Impact factor: 5.531

Review 6.  Functional magnetic resonance imaging in oncology: state of the art.

Authors:  Marcos Duarte Guimaraes; Alice Schuch; Bruno Hochhegger; Jefferson Luiz Gross; Rubens Chojniak; Edson Marchiori
Journal:  Radiol Bras       Date:  2014 Mar-Apr

Review 7.  Magnetic resonance spectroscopy - Revisiting the biochemical and molecular milieu of brain tumors.

Authors:  Ashish Verma; Ishan Kumar; Nimisha Verma; Priyanka Aggarwal; Ritu Ojha
Journal:  BBA Clin       Date:  2016-04-12

Review 8.  Magnetic Resonance Spectroscopy in Diagnosis and Follow-Up of Gliomas: State-of-the-Art.

Authors:  Malik Galijasevic; Ruth Steiger; Stephanie Mangesius; Julian Mangesius; Johannes Kerschbaumer; Christian Franz Freyschlag; Nadja Gruber; Tanja Janjic; Elke Ruth Gizewski; Astrid Ellen Grams
Journal:  Cancers (Basel)       Date:  2022-06-29       Impact factor: 6.575

  8 in total

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