ArticleJournal of clinical and diagnostic research : JCDR2016
Clinical Relevance of Single-Voxel (1)H MRS Metabolites in Discriminating Suprasellar Tumors.
Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 11 citations in OpenAlex.
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- Remitting long-standing major depression in a multiple sclerosis patient with several concurrent conditions.Neuropsychiatric disease and treatment · 2018Article
- Metabolomics-A Promising Approach to Pituitary Adenomas.Frontiers in endocrinology · 2018Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introdutionSpatially resolved metabolic data obtained from Proton Magnetic Resonance Spectroscopy ((1)H MRS) provides information which increases the diagnostic accuracy of imaging sequences in predicting the histology of suprasellar tumors.
aimTo evaluate the role of (1)H MRS in the diagnosis of various suprasellar tumors. MATERIALS AND
methodsSixty cases of various suprasellar, hypothalamic and third ventricular neoplasms were investigated with long-echo single voxel (1)H -MRS using 1.5 Tesla clinical imager. Single-voxel spectroscopic examinations were guided by T1-weighted or T2-weighted images. Statistical analysis was carried out using IBM SPSS software version 19.
resultsWe observed that whenever brain tissue was damaged or replaced by any process, NAA was markedly reduced. Extra-axial lesions which do not infiltrate brain or contain neuroglial tissue, didn't demonstrate any NAA resonances. Cr was used as an internal standard for semi-quantitative evaluation of metabolic changes of other brain metabolites. Increased Cho was seen in processes with elevated cell-membrane turnover.
conclusionSpectra obtained from different tumors exhibit reproducible differences while histologically similar tumors yield characteristic spectra with only minor differences. Pituitary tumors were typically characterized by significant reduction of NAA, Cr peak and moderate elevation of Cho peak. Gliomas were typically characterized by decrease of NAA and Cr peaks and increase of Cho peak. Craniopharyngiomas were typically characterized by significant decrease of all metabolites.
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