Literature DB >> 29035503

Comparison between Short and Long Echo Time Magnetic Resonance Spectroscopic Imaging at 3T and 7T for Evaluating Brain Metabolites in Patients with Glioma.

Yan Li1, Marisa Lafontaine1, Susan Chang2, Sarah J Nelson1,3.   

Abstract

Three-dimensional proton magnetic resonance spectroscopic imaging (MRSI) is a powerful non-invasive tool for characterizing spatial variations in metabolic profiles for patients with glioma. Metabolic parameters obtained using this technique have been shown to predict treatment response, disease progression, and transformation to a more malignant phenotype. The availability of ultra-high-field MR systems has the potential to improve the characterization of metabolites. The purpose of this study was to compare the metabolite profiles acquired with conventional long echo time (TE) MRSI at 3T with those obtained with short TE MRSI at 3T and 7T in patients with glioma. The data acquisition parameters were optimized separately for each echo time and field strength to obtain volumetric coverage within clinically feasible data acquisition times of 5-10 min. While a higher field strength did provide better detection of metabolites with overlapping peaks, spatial coverage was reduced and the use of inversion recovery to reduce lipid precluded the detection of lipid in regions of necrosis. For serial evaluation of large, heterogeneous lesions, the use of 3T short TE MRSI may thus be preferred. Despite the limited number of metabolites that it is able to detect, the use of 3T long TE MRSI gives the best contrast in choline/N-acetyl aspartate between normal appearing brain and tumor and also allows the separate detection of lactate and lipid. It may therefore be preferred for serial evaluation of patients with high-grade glioma and for detection of malignant transformation in patients with low-grade glioma.

Entities:  

Keywords:  3T; 7T; Automatic prescription; Echo time; Glioma; Magnetic resonance spectroscopic imaging; Metabolites

Mesh:

Year:  2017        PMID: 29035503      PMCID: PMC5771946          DOI: 10.1021/acschemneuro.7b00286

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  40 in total

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Journal:  Science       Date:  2008-09-04       Impact factor: 47.728

10.  Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab.

Authors:  Sarah J Nelson; Yan Li; Janine M Lupo; Marram Olson; Jason C Crane; Annette Molinaro; Ritu Roy; Jennifer Clarke; Nicholas Butowski; Michael Prados; Soonmee Cha; Susan M Chang
Journal:  J Neurooncol       Date:  2016-08-17       Impact factor: 4.130

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Journal:  Magn Reson Med       Date:  2019-03-28       Impact factor: 4.668

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5.  Predicting cancer malignancy and proliferation in glioma patients: intra-subject inter-metabolite correlation analyses using MRI and MRSI contrast scans.

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Review 6.  Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning.

Authors:  Maria Elena Laino; Robert Young; Kathryn Beal; Sofia Haque; Yousef Mazaheri; Giuseppe Corrias; Almir Gv Bitencourt; Sasan Karimi; Sunitha B Thakur
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  6 in total

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