Literature DB >> 18389246

Proton MR spectroscopy of cerebral gliomas at 3 T: spatial heterogeneity, and tumour grade and extent.

Alfonso Di Costanzo1, Tommaso Scarabino, Francesca Trojsi, Teresa Popolizio, Domenico Catapano, Giuseppe M Giannatempo, Simona Bonavita, Maurizio Portaluri, Michela Tosetti, Vincenzo A d'Angelo, Ugo Salvolini, Gioacchino Tedeschi.   

Abstract

This study aimed to evaluate the usefulness of proton MR spectroscopic imaging ((1)H-MRSI) at 3 T in differentiating high- from low-grade gliomas, and tumour from necrosis, oedema or normal tissue. Forty-four patients with brain gliomas and four with meningiomas were retrospectively reviewed. The normalised metabolites choline (nCho), N-acetylaspartate (nNAA), creatine (nCr) and lactate/lipids (nLL), and the metabolite ratios Cho/NAA, NAA/Cr and Cho/Cr were calculated. Necrotic-appearing areas showed two spectroscopic patterns: "necrosis" with variable nCho and high nLL, and "cystic necrosis" with variable nLL or nonevident peaks. Peri-enhancing oedematous-appearing areas showed three spectroscopic patterns ("tumour" with abnormal Cho/NAA, "oedema" with normal Cho/NAA and "tumour/oedema" with normal nCho and abnormal Cho/NAA) in gliomas, and one ("oedema") in meningiomas. Peri-enhancing or peri-tumour normal-appearing areas showed two patterns ("infiltrated" with abnormal nCho and/or Cho/NAA and "normal" with normal spectra) in gliomas and one ("normal") in meningiomas. Discriminant analysis showed that classification accuracy between high- and low-grade glioma masses was better with normalised metabolites or all parameters together than metabolite ratios and that among peri-enhancing areas was much better with normalised metabolites. The analysis of spatial distribution of normalised metabolites by 3-T (1)H-MRSI helps to discriminate among different tissues, offering information not available with conventional MRI.

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Year:  2008        PMID: 18389246     DOI: 10.1007/s00330-008-0938-5

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  42 in total

1.  Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy.

Authors:  Alfonso Di Costanzo; Tommaso Scarabino; Francesca Trojsi; Giuseppe M Giannatempo; Teresa Popolizio; Domenico Catapano; Simona Bonavita; Nicola Maggialetti; Michela Tosetti; Ugo Salvolini; Vincenzo A d'Angelo; Giocchino Tedeschi
Journal:  Neuroradiology       Date:  2006-06-03       Impact factor: 2.804

2.  Proton MR spectroscopic evaluation of suspicious brain lesions after stereotactic radiotherapy.

Authors:  H P Schlemmer; P Bachert; K K Herfarth; I Zuna; J Debus; G van Kaick
Journal:  AJNR Am J Neuroradiol       Date:  2001-08       Impact factor: 3.825

3.  Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas.

Authors:  Isabelle Catalaa; Roland Henry; William P Dillon; Edward E Graves; Tracy R McKnight; Ying Lu; Daniel B Vigneron; Sarah J Nelson
Journal:  NMR Biomed       Date:  2006-06       Impact factor: 4.044

4.  Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging.

Authors:  Andreas Stadlbauer; Stephan Gruber; Christopher Nimsky; Rudolf Fahlbusch; Thilo Hammen; Rolf Buslei; Bernd Tomandl; Ewald Moser; Oliver Ganslandt
Journal:  Radiology       Date:  2006-01-19       Impact factor: 11.105

Review 5.  MR imaging of the brain: tumors.

Authors:  K Sartor
Journal:  Eur Radiol       Date:  1999       Impact factor: 5.315

6.  Longitudinal multivoxel MR spectroscopy study of pediatric diffuse brainstem gliomas treated with radiotherapy.

Authors:  Anne Laprie; Andrea Pirzkall; Daphne A Haas-Kogan; Soonmee Cha; Anuradha Banerjee; Terry P Le; Ying Lu; Sarah Nelson; Tracy R McKnight
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-05-01       Impact factor: 7.038

7.  Apparent diffusion coefficient: a quantitative parameter for in vivo tumor characterization.

Authors:  Andreas M Herneth; Samira Guccione; Mark Bednarski
Journal:  Eur J Radiol       Date:  2003-03       Impact factor: 3.528

8.  Combination of single-voxel proton MR spectroscopy and apparent diffusion coefficient calculation in the evaluation of common brain tumors.

Authors:  Nail Bulakbasi; Murat Kocaoglu; Fatih Ors; Cem Tayfun; Taner Uçöz
Journal:  AJNR Am J Neuroradiol       Date:  2003-02       Impact factor: 3.825

Review 9.  Primary brain tumours in adults.

Authors:  Anthony Behin; Khe Hoang-Xuan; Antoine F Carpentier; Jean-Yves Delattre
Journal:  Lancet       Date:  2003-01-25       Impact factor: 79.321

10.  In vivo research in astrocytoma cell proliferation with 1H-magnetic resonance spectroscopy: correlation with histopathology and immunohistochemistry.

Authors:  Jun Chen; Shu-Lan Huang; Tao Li; Xi-Lan Chen
Journal:  Neuroradiology       Date:  2006-03-22       Impact factor: 2.804

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  30 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.  Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach.

Authors:  Alfonso Di Costanzo; Tommaso Scarabino; Francesca Trojsi; Teresa Popolizio; Simona Bonavita; Mario de Cristofaro; Renata Conforti; Adriana Cristofano; Claudio Colonnese; Ugo Salvolini; Gioacchino Tedeschi
Journal:  Radiol Med       Date:  2014-01-10       Impact factor: 3.469

Review 3.  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

4.  MR Spectra of Normal Adult Testes and Variations with Age: Preliminary Observations.

Authors:  Athina C Tsili; Loukas G Astrakas; Alexandra Ntorkou; Dimitrios Giannakis; Sotirios Stavrou; Vasilios Maliakas; Nikolaos Sofikitis; Maria I Argyropoulou
Journal:  Eur Radiol       Date:  2015-10-16       Impact factor: 5.315

Review 5.  Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques.

Authors:  Evangelia Tsolaki; Evanthia Kousi; Patricia Svolos; Efthychia Kapsalaki; Kyriaki Theodorou; Constastine Kappas; Ioannis Tsougos
Journal:  World J Radiol       Date:  2014-04-28

6.  Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.

Authors:  James S Cordova; Hui-Kuo G Shu; Zhongxing Liang; Saumya S Gurbani; Lee A D Cooper; Chad A Holder; Jeffrey J Olson; Brad Kairdolf; Eduard Schreibmann; Stewart G Neill; Constantinos G Hadjipanayis; Hyunsuk Shim
Journal:  Neuro Oncol       Date:  2016-03-15       Impact factor: 12.300

7.  Improved spatial coverage for brain 3D PRESS MRSI by automatic placement of outer-volume suppression saturation bands.

Authors:  Eugene Ozhinsky; Daniel B Vigneron; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

8.  Integrated analysis identifies different metabolic signatures for tumor-initiating cells in a murine glioblastoma model.

Authors:  Isako Saga; Shunsuke Shibao; Jun Okubo; Satoru Osuka; Yusuke Kobayashi; Sachiko Yamada; Satoshi Fujita; Kenichi Urakami; Masatoshi Kusuhara; Kazunari Yoshida; Hideyuki Saya; Oltea Sampetrean
Journal:  Neuro Oncol       Date:  2014-05-23       Impact factor: 12.300

9.  Proton MRS imaging in pediatric brain tumors.

Authors:  Maria Zarifi; A Aria Tzika
Journal:  Pediatr Radiol       Date:  2016-05-27

10.  Low-grade (WHO II) and anaplastic (WHO III) gliomas: differences in morphology and MRI signal intensities.

Authors:  Max-Ludwig Schäfer; Martin H Maurer; Michael Synowitz; Joost Wüstefeld; Tim Marnitz; Florian Streitparth; Edzard Wiener
Journal:  Eur Radiol       Date:  2013-05-19       Impact factor: 5.315

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