Evidence map›Paper›PMID 22919334›Full record

ArticleTheScientificWorldJournal2012

Spectroscopic evaluation of glioma grading at 3T: the combined role of short and long TE.

E Kousi, I Tsougos, E Tsolaki, K N Fountas, K Theodorou, I Fezoulidis, E Kapsalaki, C Kappas

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Grading of Gliomas by Contrast-Enhanced CT Radiomics Features.Journal of biomedical physics & engineering · 2024
    Article
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  14. Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2015
    Review
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  17. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

E KousiMedical Physics Department, University of Thessaly, Biopolis, 41110 Larissa, Greece.
I Tsougos
E Tsolaki
K N Fountas
K Theodorou
I Fezoulidis
E Kapsalaki
C Kappas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the diagnostic value of 3T (1)H-MRS in grading cerebral gliomas using short and long echo times.

methods1H-MRS was performed on 71 patients with untreated cerebral gliomas. Metabolite ratios of NAA/Cr, Cho/Cr, Cho/NAA, and mI/Cr were calculated for short and long TE and compared between low and high grade gliomas. Lipids were qualitatively evaluated. ROC analysis was performed to obtain the cut-off values for the metabolic ratios presenting statistical difference between the two glioma grades.

resultsIntratumoral Cho/Cr at both TEs and long TE Cho/NAA were significantly different between low and high grade gliomas. Peritumoral NAA/Cr of both TEs, as well as long TE Cho/Cr and Cho/NAA ratios, significantly differentiated the two tumor grades. Diagnostic sensitivity of peritumoral short TE NAA/Cr proved to be superior over the other metabolic ratios, whereas intratumoral short TE Cho/Cr reached the highest levels of specificity and accuracy. Overall, short TE 1H-MRS reached higher total sensitivity in predicting glioma grade, over long TE.

conclusionAn advantage was found in using short TE over long TE 1H-MRS in the discrimination of low versus high grade gliomas. Moreover, the results suggested that the peritumoral area of gliomas may be more valuable in predicting glioma grade than using only the intratumoral area.

Indexed as

AdolescentAdultAgedBrain NeoplasmsGliomaHumansMagnetic Resonance ImagingMiddle AgedNeoplasm GradingSensitivity and SpecificityYoung Adult

Identifiers

PMID22919334
PMCPMC3417198

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.