Evidence map›Paper›PMID 29143277›Full record

ArticleJournal of neuro-oncology2018

Myo-inositol concentration in MR spectroscopy for differentiating high grade glioma from primary central nervous system lymphoma.

Hiroaki Nagashima, Takashi Sasayama, Kazuhiro Tanaka, Katsusuke Kyotani, Naoko Sato, Masahiro Maeyama, Masaaki Kohta, Junichi Sakata, Yusuke Yamamoto, Kohkichi Hosoda and 3 more

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In one paragraph

Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Hiroaki NagashimaDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Takashi SasayamaDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan. takasasa@med.kobe-u.ac.jp.
Kazuhiro TanakaDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Katsusuke KyotaniCenter for Radiology and Radiation Oncology, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Naoko SatoDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Masahiro MaeyamaDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Masaaki KohtaDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Junichi SakataDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Yusuke YamamotoDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Kohkichi HosodaDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Tomoo ItohDepartment of Diagnostic Pathology, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Ryohei SasakiDivision of Radiation Oncology, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Eiji KohmuraDepartment of Neurosurgery, Kobe University Graduate School of Medicine and Kobe University Hospital, Kobe, 650-0017, Japan.
Kobe University Hospital · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology 15K10302Ministry of Education, Culture, Sports, Science and Technology 25293309Ministry of Education, Culture, Sports, Science and Technology 25462258
6 · The paper itself

Abstract

It is sometimes difficult to distinguish gliomas from other tumors on routine imaging. In this study, we assessed whether 3-T magnetic resonance spectroscopy (MRS) with LCModel software might be useful for discriminating glioma from other brain tumors, such as primary central nervous system lymphomas (PCNSLs) and metastatic tumors. A total of 104 cases of brain tumor (66 gliomas, 20 PCNSLs, 6 metastatic tumors, 12 other tumors) were preoperatively investigated with short echo time (35 ms) single-voxel 3-T MRS. LCModel software was used to evaluate differences in the absolute concentrations of choline, N-acetylaspartate, N-acetylaspartylglutamate, glutamate + glutamine, myo-inositol (mIns), and lipid. mIns levels were significantly increased in high-grade glioma (HGG) compared with PCNSL (p < 0.001). In multivariate logistic regression analysis, mIns was the best marker for differentiating HGG from PCNSL (p < 0.0001, odds ratio 1.9927, 95% confidence interval 1.3628-3.2637). Conventional MRS detection of mIns resulted in a high diagnostic accuracy (sensitivity, 64%; specificity, 90%; area under the receiver operator curve, 0.80) for HGG. The expression of inositol 3-phosphate synthase (ISYNA1) was significantly higher in gliomas than in PCNSLs (p < 0.05), suggesting that the increased level of mIns in glioma is due to high expression of ISYNA1, the rate-limiting enzyme in the mIns-producing pathway. In conclusion, noninvasive analysis of mIns using single-voxel MRS may be useful in distinguishing gliomas from other brain tumors, particularly PCNSLs.

Indexed as

Magnetic Resonance SpectroscopyAdolescentAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsGliomaHumansImage Interpretation, Computer-AssistedInositolLymphomaMiddle AgedNeoplasm GradingRetrospective StudiesSensitivity and SpecificityBiomarkers, TumorInositolGliomaMetabolomicsMR spectroscopyMyo-inositolPrimary central nervous system lymphoma

Identifiers

PMID29143277
OpenAlexW2768244645

What OpenQuestion holds

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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.