Literature DB >> 10841191

Magnetic resonance spectroscopy of brain tumors.

P L Lee1, R G Gonzalez.   

Abstract

Magnetic resonance spectroscopy provides metabolic information about brain tumors beyond what can be obtained from anatomic images. In contrast to other metabolism-based imaging techniques such as single photon emission computed tomography and positron-emission tomography, magnetic resonance spectroscopy yields multiparametric data, does not require radio-labeled tracers or ionizing radiation, and can be performed in conjunction with other magnetic resonance imaging studies. Magnetic resonance spectral patterns have been shown to be distinct for different tumor types and grades. Response to radiation therapy is also reflected by magnetic resonance spectral patterns. Although there are quantitative issues still to be addressed, correlation of in vivo spectral patterns with ex vivo spectral patterns obtained from actual biopsy samples indicates that magnetic resonance spectroscopy is a fundamentally valid tool for monitoring disease progression and therapeutic response in patients with brain tumors.

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Year:  2000        PMID: 10841191     DOI: 10.1097/00001622-200005000-00003

Source DB:  PubMed          Journal:  Curr Opin Oncol        ISSN: 1040-8746            Impact factor:   3.645


  6 in total

1.  Automatic repositioning of MRSI voxels in longitudinal studies: impact on reproducibility of metabolite concentration measurements.

Authors:  Eva-Maria Ratai; Ileana Hancu; Daniel J Blezek; Katherine W Turk; Elkan Halpern; R Gilberto González
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

2.  Magnetic resonance spectroscopic detection of lactate is predictive of a poor prognosis in patients with diffuse intrinsic pontine glioma.

Authors:  Fumiyuki Yamasaki; Kaoru Kurisu; Yoshinori Kajiwara; Yosuke Watanabe; Takeshi Takayasu; Yuji Akiyama; Taiichi Saito; Ryosuke Hanaya; Kazuhiko Sugiyama
Journal:  Neuro Oncol       Date:  2011-06-08       Impact factor: 12.300

3.  Improving the utility of 1H-MRS for the differentiation of glioma recurrence from radiation necrosis.

Authors:  Ian D Crain; Petra S Elias; Kristina Chapple; Adrienne C Scheck; John P Karis; Mark C Preul
Journal:  J Neurooncol       Date:  2017-05-29       Impact factor: 4.130

4.  Proton magnetic resonance spectroscopy in immunocompetent patients with primary central nervous system lymphoma.

Authors:  J J Raizer; J A Koutcher; L E Abrey; K S Panageas; L M DeAngelis; E Lis; S Xu; K L Zakian
Journal:  J Neurooncol       Date:  2005-01       Impact factor: 4.130

5.  Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging.

Authors:  Wei Bian; Inas S Khayal; Janine M Lupo; Colleen McGue; Scott Vandenberg; Kathleen R Lamborn; Susan M Chang; Soonmee Cha; Sarah J Nelson
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

6.  Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma.

Authors:  Susan M Chang; Sarah Nelson; Scott Vandenberg; Soonmee Cha; Michael Prados; Nicholas Butowski; Michael McDermott; Andrew T Parsa; Manish Aghi; Jennifer Clarke; Mitchel Berger
Journal:  J Neurooncol       Date:  2009-04-09       Impact factor: 4.130

  6 in total

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