Literature DB >> 21031506

Combined use of neuroradiology and 1H-MR spectroscopy may provide an intervention limiting diagnosis of glioblastoma multiforme.

Greg A Fellows1, Alan J Wright, Naomi A Sibtain, Phil Rich, Kirstie S Opstad, Dominick J O McIntyre, B Anthony Bell, John R Griffiths, Franklyn A Howe.   

Abstract

PURPOSE: To evaluate the accuracy of (1)H-MR spectroscopy ((1)H-MRS) as an intervention limiting diagnostic tool for glioblastoma multiforme. GBM is the most common and aggressive primary brain tumor, with mean survival under a year. Oncological practice currently requires histopathological diagnosis before radiotherapy.
MATERIALS AND METHODS: Eighty-nine patients had clinical computed tomography (CT) and MR imaging and 1.5T SV SE (1)H-MRS with PRESS localization for neuroradiological diagnosis and tumor classification with spectroscopic and automated pattern recognition analysis (TE 30 ms, TR 2000 ms, spectral width 2500 Hz and 2048 data points, 128-256 signal averages were acquired, depending on voxel size (8 cm(3) to 4 cm(3)). Eighteen patients from a cohort of 89 underwent stereotactic biopsy.
RESULTS: The 18 stereotactic biopsies revealed 14 GBM, 2 grade II astrocytomas, 1 lymphoma, and 1 anaplastic astrocytoma. All 14 biopsied GBMs were diagnosed as GBM by a protocol combining an individual radiologist and an automated spectral pattern recognition program.
CONCLUSION: In patients undergoing stereotactic biopsy combined neuroradiological and spectroscopic evaluation diagnoses GBM with accuracy that could replace the need for biopsy. We do not advocate the replacement of biopsy in all patients; instead our data suggest a specific intervention limiting role for the use of (1)H-MRS in brain tumor diagnosis.
© 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 21031506     DOI: 10.1002/jmri.22350

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

Review 1.  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

Review 2.  Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.

Authors:  Jurgita Usinskiene; Agne Ulyte; Atle Bjørnerud; Jonas Venius; Vasileios K Katsaros; Ryte Rynkeviciene; Simona Letautiene; Darius Norkus; Kestutis Suziedelis; Saulius Rocka; Andrius Usinskas; Eduardas Aleknavicius
Journal:  Neuroradiology       Date:  2016-01-15       Impact factor: 2.804

Review 3.  Functional imaging in adult and paediatric brain tumours.

Authors:  Andrew C Peet; Theodoros N Arvanitis; Martin O Leach; Adam D Waldman
Journal:  Nat Rev Clin Oncol       Date:  2012-11-13       Impact factor: 66.675

4.  Evaluation of the INTERPRET decision-support system: can it improve the diagnostic value of magnetic resonance spectroscopy of the brain?

Authors:  J Hellström; R Romanos Zapata; S Libard; J Wikström; F Ortiz-Nieto; I Alafuzoff; R Raininko
Journal:  Neuroradiology       Date:  2018-11-15       Impact factor: 2.804

5.  Higher Cho/NAA Ratio in Postoperative Peritumoral Edema Zone Is Associated With Earlier Recurrence of Glioblastoma.

Authors:  Yong Cui; Wei Zeng; Haihui Jiang; Xiaohui Ren; Song Lin; Yanzhu Fan; Yapeng Liu; Jizong Zhao
Journal:  Front Neurol       Date:  2020-12-04       Impact factor: 4.003

  5 in total

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