Literature DB >> 22842213

Short- and long-term quantitation reproducibility of brain metabolites in the medial wall using proton echo planar spectroscopic imaging.

Shang-Yueh Tsai1, Yi-Ru Lin, Woan-Chyi Wang, David M Niddam.   

Abstract

Proton echo planar spectroscopic imaging (PEPSI) is a fast magnetic resonance spectroscopic imaging (MRSI) technique that allows mapping spatial metabolite distributions in the brain. Although the medial wall of the cortex is involved in a wide range of pathological conditions, previous MRSI studies have not focused on this region. To decide the magnitude of metabolic changes to be considered significant in this region, the reproducibility of the method needs to be established. The study aims were to establish the short- and long-term reproducibility of metabolites in the right medial wall and to compare regional differences using a constant short-echo time (TE30) and TE averaging (TEavg) optimized to yield glutamatergic information. 2D sagittal PEPSI was implemented at 3T using a 32 channel head coil. Acquisitions were repeated immediately and after approximately 2 weeks to assess the coefficients of variation (COV). COVs were obtained from eight regions-of-interest (ROIs) of varying size and location. TE30 resulted in better spectral quality and similar or lower quantitation uncertainty for all metabolites except glutamate (Glu). When Glu and glutamine (Gln) were quantified together (Glx) reduced quantitation uncertainty and increased reproducibility was observed for TE30. TEavg resulted in lowered quantitation uncertainty for Glu but in less reliable quantification of several other metabolites. TEavg did not result in a systematically improved short- or long-term reproducibility for Glu. The ROI volume was a major factor influencing reproducibility. For both short- and long-term repetitions, the Glu COVs obtained with TEavg were 5-8% for the large ROIs, 12-17% for the medium sized ROIs and 16-26% for the smaller cingulate ROIs. COVs obtained with TE30 for the less specific Glx were 3-5%, 8-10% and 10-15%. COVs for N-acetyl aspartate, creatine and choline using TE30 with long-term repetition were between 2-10%. Our results show that the cost of more specific glutamatergic information (Glu versus Glx) is the requirement of an increased effect size especially with increasing anatomical specificity. This comes in addition to the loss of sensitivity for other metabolites. Encouraging results were obtained with TE30 compared to other previously reported MRSI studies. The protocols implemented here are reliable and may be used to study disease progression and intervention mechanisms.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22842213     DOI: 10.1016/j.neuroimage.2012.07.039

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

1.  Statistical mapping of metabolites in the medial wall of the brain: a proton echo planar spectroscopic imaging study.

Authors:  David M Niddam; Shang-Yueh Tsai; Yi-Ru Lin
Journal:  Hum Brain Mapp       Date:  2014-10-23       Impact factor: 5.038

2.  Reproducibility and reliability of short-TE whole-brain MR spectroscopic imaging of human brain at 3T.

Authors:  Xiao-Qi Ding; Andrew A Maudsley; Mohammad Sabati; Sulaiman Sheriff; Paulo R Dellani; Heinrich Lanfermann
Journal:  Magn Reson Med       Date:  2014-03-26       Impact factor: 4.668

3.  Feasibility and reproducibility of echo planar spectroscopic imaging on the quantification of hepatic fat.

Authors:  Yi-Ru Lin; Jian-Jia Chiu; Shang-Yueh Tsai
Journal:  PLoS One       Date:  2014-12-16       Impact factor: 3.240

Review 4.  Accelerated MR spectroscopic imaging-a review of current and emerging techniques.

Authors:  Wolfgang Bogner; Ricardo Otazo; Anke Henning
Journal:  NMR Biomed       Date:  2020-05-12       Impact factor: 4.044

5.  Influence of macromolecule baseline on 1 H MR spectroscopic imaging reproducibility.

Authors:  Rebecca Birch; Andrew C Peet; Hamid Dehghani; Martin Wilson
Journal:  Magn Reson Med       Date:  2016-01-22       Impact factor: 4.668

  5 in total

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