MR Spectroscopy and Spectroscopic Imaging of Tumor Physiology and Metabolism

2011 ◽  
pp. 126-143
Keyword(s):  
Mr Spectroscopy ◽  
Spectroscopic Imaging

scholarly journals Proton MR Spectroscopic Imaging in Pelizaeus-Merzbacher Disease

2003 ◽  
Vol 16 (3) ◽  
pp. 449-450 ◽  
Author(s):  
F. Pizzini ◽  
A. Fatemi ◽  
P.B. Barker ◽  
H.W. Moser ◽  
S. Naidu ◽  
...  
Keyword(s):  
Mr Spectroscopy ◽  
Phenotypic Expression ◽  
Gene Mutations ◽  
Spectroscopic Imaging ◽  
Chromosome X ◽  
Pelizaeus Merzbacher Disease ◽  
Mr Spectroscopic Imaging

We describe the MR spectroscopy findings in three patients with Pelizaeus-Merzbacker disease, a rare leukodystrophy associated with mutations of the PLP gene on chromosome X. The patients studied had different PLP gene mutations and presented different metabolic patterns, indicating a different phenotypic expression of mutations of the same gene.

Proton MR spectroscopy in patients with pyogenic brain abscess: MR spectroscopic imaging versus single-voxel spectroscopy

2013 ◽  
Vol 82 (8) ◽  
pp. 1299-1307 ◽  
Author(s):  
Shuo-Hsiu Hsu ◽  
Ming-Chung Chou ◽  
Cheng-Wen Ko ◽  
Shu-Shong Hsu ◽  
Huey-Shyan Lin ◽  
...  
Keyword(s):  
Brain Abscess ◽  
Mr Spectroscopy ◽  
Spectroscopic Imaging ◽  
Proton Mr Spectroscopy ◽  
Single Voxel ◽  
Mr Spectroscopic Imaging

Automated spectral analysis III: Application toin Vivo proton MR Spectroscopy and spectroscopic imaging

1998 ◽  
Vol 40 (6) ◽  
pp. 822-831 ◽  
Author(s):  
Brian J. Soher ◽  
Karl Young ◽  
Varanavasi Govindaraju ◽  
Andrew A. Maudsley
Keyword(s):  
Spectral Analysis ◽  
Mr Spectroscopy ◽  
Spectroscopic Imaging ◽  
Proton Mr Spectroscopy ◽  
Automated Spectral Analysis

scholarly journals Monitoring tumor cell death in murine tumor models using deuterium magnetic resonance spectroscopy and spectroscopic imaging

2021 ◽  
Vol 118 (12) ◽  
pp. e2014631118
Author(s):  
Friederike Hesse ◽  
Vencel Somai ◽  
Felix Kreis ◽  
Flaviu Bulat ◽  
Alan J. Wright ◽  
...  
Keyword(s):  
Cell Death ◽  
Magnetic Resonance ◽  
Drug Treatment ◽  
Tumor Cell ◽  
Mr Spectroscopy ◽  
Spectroscopic Imaging ◽  
Metabolic Imaging ◽  
Resonance Spectroscopy ◽  
Tumor Cell Death

2H magnetic resonance spectroscopic imaging has been shown recently to be a viable technique for metabolic imaging in the clinic. We show here that 2H MR spectroscopy and spectroscopic imaging measurements of [2,3-2H2]malate production from [2,3-2H2]fumarate can be used to detect tumor cell death in vivo via the production of labeled malate. Production of [2,3-2H2]malate, following injection of [2,3-2H2]fumarate (1 g/kg) into tumor-bearing mice, was measured in a murine lymphoma (EL4) treated with etoposide, and in human breast (MDA-MB-231) and colorectal (Colo205) xenografts treated with a TRAILR2 agonist, using surface-coil localized 2H MR spectroscopy at 7 T. Malate production was also imaged in EL4 tumors using a fast 2H chemical shift imaging sequence. The malate/fumarate ratio increased from 0.016 ± 0.02 to 0.16 ± 0.14 in EL4 tumors 48 h after drug treatment (P = 0.0024, n = 3), and from 0.019 ± 0.03 to 0.25 ± 0.23 in MDA-MB-231 tumors (P = 0.0001, n = 5) and from 0.016 ± 0.04 to 0.28 ± 0.26 in Colo205 tumors (P = 0.0002, n = 5) 24 h after drug treatment. These increases were correlated with increased levels of cell death measured in excised tumor sections obtained immediately after imaging. 2H MR measurements of [2,3-2H2]malate production from [2,3-2H2]fumarate provide a potentially less expensive and more sensitive method for detecting cell death in vivo than 13C MR measurements of hyperpolarized [1,4-13C2]fumarate metabolism, which have been used previously for this purpose.

Visualisation of E. coli ribosomal RNA in situ by electron spectroscopic imaging and image averaging

1992 ◽  
Vol 50 (1) ◽  
pp. 466-467
Author(s):  
Daniel Beniac ◽  
George Harauz
Keyword(s):  
Ribosomal Rna ◽  
Three Dimensional ◽  
Spectroscopic Imaging ◽  
Electron Spectroscopic Imaging ◽  
E Coli ◽  
Microscopical Technique ◽  
Quantitative Image ◽  
Dimensional Reconstruction ◽  
Image Averaging ◽  
Protein Components

The structures of E. coli ribosomes have been extensively probed by electron microscopy of negatively stained and frozen hydrated preparations. Coupled with quantitative image analysis and three dimensional reconstruction, such approaches are worthwhile in defining size, shape, and quaternary organisation. The important question of how the nucleic acid and protein components are arranged with respect to each other remains difficult to answer, however. A microscopical technique that has been proposed to answer this query is electron spectroscopic imaging (ESI), in which scattered electrons with energy losses characteristic of inner shell ionisations are used to form specific elemental maps. Here, we report the use of image sorting and averaging techniques to determine the extent to which a phosphorus map of isolated ribosomal subunits can define the ribosomal RNA (rRNA) distribution within them.

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