Study of the features of proton MR spectroscopy (1H-MRS) on amyotrophic lateral sclerosis

2010 ◽  
Vol 31 (2) ◽  
pp. 305-308 ◽  
Author(s):  
Jing Han ◽  
Lin Ma
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Mr Spectroscopy ◽  
1H Mrs ◽  
Proton Mr Spectroscopy ◽  
Lateral Sclerosis

scholarly journals Ultra-High Field Proton MR Spectroscopy in Early-Stage Amyotrophic Lateral Sclerosis

2017 ◽  
Vol 42 (6) ◽  
pp. 1833-1844 ◽  
Author(s):  
Ian Cheong ◽  
Małgorzata Marjańska ◽  
Dinesh K. Deelchand ◽  
Lynn E. Eberly ◽  
David Walk ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Mr Spectroscopy ◽  
High Field ◽  
Early Stage ◽  
Ultra High Field ◽  
Proton Mr Spectroscopy ◽  
Lateral Sclerosis

scholarly journals Erratum to: Ultra-High Field Proton MR Spectroscopy in Early-Stage Amyotrophic Lateral Sclerosis

2017 ◽  
Vol 42 (6) ◽  
pp. 1845-1846
Author(s):  
Ian Cheong ◽  
Małgorzata Marjańska ◽  
Dinesh K. Deelchand ◽  
Lynn E. Eberly ◽  
David Walk ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Mr Spectroscopy ◽  
High Field ◽  
Early Stage ◽  
Ultra High Field ◽  
Proton Mr Spectroscopy ◽  
Lateral Sclerosis

scholarly journals Integrated imaging of [11C]-PBR28 PET, MR diffusion and magnetic resonance spectroscopy 1H-MRS in amyotrophic lateral sclerosis

2018 ◽  
Vol 20 ◽  
pp. 357-364 ◽  
Author(s):  
Eva-Maria Ratai ◽  
Mohamad J. Alshikho ◽  
Nicole R. Zürcher ◽  
Marco L. Loggia ◽  
Catherine L. Cebulla ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Resonance Spectroscopy ◽  
1H Mrs ◽  
Mr Diffusion ◽  
Lateral Sclerosis

scholarly journals Degeneration of the Mid-Cingulate Cortex in Amyotrophic Lateral Sclerosis Detected In Vivo with MR Spectroscopy

2010 ◽  
Vol 32 (2) ◽  
pp. 403-407 ◽  
Author(s):  
N. Sudharshan ◽  
C. Hanstock ◽  
B. Hui ◽  
T. Pyra ◽  
W. Johnston ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Mr Spectroscopy ◽  
Cingulate Cortex ◽  
Lateral Sclerosis

scholarly journals BIMG-14. IDENTIFICATION OF IDH MUTATION STATUS USING PROTON MR SPECTROSCOPY AND MASS SPECTROMETRY: A STUDY OF 178 GLIOMAS

2020 ◽  
Vol 3 (Supplement_1) ◽  
pp. i4-i4
Author(s):  
Banu Sacli-Bilmez ◽  
Cansu Akin-Levi ◽  
Ayça Ersen Danyeli ◽  
Cengiz Yakicier ◽  
M Necmettin Pamir ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mass Spectrometry ◽  
Mr Spectroscopy ◽  
Machine Learning Algorithms ◽  
Idh Mutation ◽  
Gamma Aminobutyric Acid ◽  
1H Mrs ◽  
Surgical Specimen ◽  
Proton Mr Spectroscopy ◽  
Metabolite Concentrations

Abstract IDH mutation, a key factor in predicting glioma prognosis, alters the levels of some metabolites in brain, including 2-hydroxyglutarate (2HG), glutamine (Gln), and glutathione (GSH). While proton MR spectroscopy (1H-MRS) enables in-vivo detection of these metabolites, liquid chromatography-mass spectrometry (LC-MS/MS) is a sensitive in-vitro method to measure absolute metabolite concentrations. This study aims to examine the correlation of metabolic concentrations measured using 1H-MRS and LC-MS/MS in gliomas, and to detect IDH mutation with machine learning based on 1H-MRS and LC-MS/MS metabolic intensities. The patient cohort included 178 glioma patients (111M/67F, mean age:44.09±13.95 years, 100 IDH-mut, 78 IDH-wt). The patients were scanned pre-surgery by a 3T MR scanner with a 32-channel head coil. 1H-MRS was obtained from a manually placed region of interest with no necrosis, edema, and hemorrhage, using a Point Resolved Spectroscopy (PRESS) sequence (TR/TE=2000/30ms). LCModel software was used for quantification of eighteen metabolites of 1H-MRS data. Metabolite concentrations including creatine (Cr), choline (Cho), Gln, glutamate (Glu), gamma-aminobutyric acid (GABA), N-acetyl aspartate (NAA), myo-inositol (mIns), 2HG, and lactate (Lac) were also determined with LC-MS/MS for surgical specimen of the same patients. Spearman correlation coefficients were calculated between the metabolite concentrations measured with 1H-MRS and LC-MS/MS. Additionally, machine-learning algorithms were used to detect IDH mutation in gliomas based on metabolite concentrations obtained with 1H-MRS and LC-MS/MS. Consequently, there were statistically significant correlations between 1H-MRS and LC-MS/MS results for 2HG (p=0.036), Cr (p=0.009), mIns (p<0.001), Lac (p=0.007) and NAA (p=0.004). IDH mutation was detected with an accuracy of 92.42% (sensitivity=91.70%, specificity=93.46) and 82.94% (sensitivity=84.04, specificity=81.43) based on LC-MS/MS and 1H-MRS metabolic intensities, respectively. In conclusion, 1H-MRS and LC-MS/MS metabolic intensities were highly correlated and these techniques were successful in identifying IDH mutation in gliomas. This study has been supported by TUBITAK 1003 grant 216S432.

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