Evidence map›Paper›PMID 34211737›Full record

ArticleActa radiologica open2021

Utility of 3T single-voxel proton MR spectroscopy for differentiating intracranial meningiomas from intracranial enhanced mass lesions.

Eiji Matsusue, Chie Inoue, Sadaharu Tabuchi, Hiroki Yoshioka, Yuichiro Nagao, Kensuke Matsumoto, Kazuhiko Nakamura, Shinya Fujii

Open access · goldAbstract read
In one paragraph

Article in Acta radiologica open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
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 at 2 institutions in 1 country.

Eiji MatsusueDepartment of Radiology, Tottori Prefectural Central Hospital, Tottori, Japan.ORCID https://orcid.org/0000-0002-0411-1600
Chie InoueDepartment of Radiology, Tottori Prefectural Central Hospital, Tottori, Japan.
Sadaharu TabuchiDepartment of Neurosurgery, Tottori Prefectural Central Hospital, Tottori, Japan.
Hiroki YoshiokaDepartment of Neurosurgery, Tottori Prefectural Central Hospital, Tottori, Japan.
Yuichiro NagaoDepartment of Neurosurgery, Tottori Prefectural Central Hospital, Tottori, Japan.
Kensuke MatsumotoDepartment of Radiology, Tottori Prefectural Central Hospital, Tottori, Japan.
Kazuhiko NakamuraDepartment of Radiology, Tottori Prefectural Central Hospital, Tottori, Japan.
Shinya FujiiDivision of Radiology, Department of Multidisciplinary Internal Medicine, Tottori University, Tottori, Japan.ORCID https://orcid.org/0000-0002-0048-0396
Tottori Prefectural Central Hospital · JPTottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProton magnetic resonance spectroscopy (MRS) provides structural and metabolic information that is useful for the diagnosis of meningiomas with atypical radiological appearance. However, the metabolite that should be prioritized for the diagnosis of meningiomas has not been established. PURPOSE: To evaluate the differences between the metabolic peaks of meningiomas and other intracranial enhanced mass lesions (non-meningiomas) using MR spectroscopy in short echo time (TE) spectra and the most useful metabolic peak for discriminating between the groups. MATERIAL AND

methodsThe study involved 9 meningiomas, 22 non-meningiomas, intracranial enhancing tumors and abscesses, and 15 normal controls. The ranking of the peak at 3.8 ppm, peak at 3.8 ppm/Creatine (Cr), β-γ Glutamine-Glutamate (bgGlx)/Cr, N-acetyl compounds (NACs)/Cr, choline (Cho)/Cr, lipid and/or lactate (Lip-Lac) at 1.3 ppm/Cr, and the presence of alanine (Ala) were derived. The metabolic peaks were compared using the Mann-Whitney U test. ROC analysis was used to determine the cut-off values for differentiating meningiomas from non-meningiomas using statistically significant metabolic peaks.

resultsThe ranking of the peak at 3.8 ppm among all the peaks, peak at 3.8 ppm/Cr, bgGlx/Cr, Lip-Lac/Cr, and the presence of Ala discriminated meningiomas from non-meningiomas with moderate to high accuracy. The highest accuracy was 96.9% at a threshold value of 3 for the rank of the peak at 3.8 ppm.

conclusionA distinct elevated peak at 3.8 ppm, ranked among the top three highest peaks, allowed the detection of meningiomas.

Indexed as

3.8 ppmMagnetic resonance imagingmagnetic resonance spectroscopymeningiomashort TE

Identifiers

PMID34211737
PMCPMC8215334
OpenAlexW3152971705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.