Evidence map›Paper›PMID 36877775›Full record

ArticleJournal of computer assisted tomography

Importance of Age and Noncontrast-Enhancing Tumor as Biomarkers for Isocitrate Dehydrogenase-Mutant Glioblastoma: A Multicenter Study.

Hiroyuki Uetani, Minako Azuma, Zaw Aung Khant, Yoshiyuki Watanabe, Kohsuke Kudo, Yoshihito Kadota, Kiyotaka Yokogami, Hideo Takeshima, Jun-Ichiro Kuroda, Naoki Shinojima and 3 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of computer assisted tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. AJNR. American journal of neuroradiology · 2025
    Article
  4. Article
  5. Article
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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 4 institutions in 1 country.

Hiroyuki UetaniFrom the Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto.
Minako AzumaDepartment of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki.
Zaw Aung KhantDepartment of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki.
Yoshiyuki Watanabe
Kohsuke KudoDepartment of Diagnostic Imaging, Hokkaido University Faculty of Medicine, Sapporo.
Yoshihito KadotaDepartment of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki.
Kiyotaka YokogamiDepartment of Neurosurgery, Faculty of Medicine, University of Miyazaki, Miyazaki.
Hideo TakeshimaDepartment of Neurosurgery, Faculty of Medicine, University of Miyazaki, Miyazaki.
Jun-Ichiro KurodaDepartment of Neurosurgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Naoki ShinojimaDepartment of Neurosurgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Tadashi HamasakiDepartment of Neurosurgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Akitake MukasaDepartment of Neurosurgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Toshinori HiraiFrom the Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto.
Kumamoto University · JPUniversity of Miyazaki · JPHokkaido University · JPShiga University of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the most useful clinical and magnetic resonance imaging (MRI) parameters for differentiating isocitrate dehydrogenase (IDH)-mutant and -wildtype glioblastomas in the 2016 World Health Organization Classification of Tumors of the Central Nervous System.

methodsThis multicenter study included 327 patients with IDH-mutant or IDH-wildtype glioblastoma in the 2016 World Health Organization classification who preoperatively underwent MRI. Isocitrate dehydrogenase mutation status was determined by immunohistochemistry, high-resolution melting analysis, and/or IDH1/2 sequencing. Three radiologists independently reviewed the tumor location, tumor contrast enhancement, noncontrast-enhancing tumor (nCET), and peritumoral edema. Two radiologists independently measured the maximum tumor size and mean and minimum apparent diffusion coefficients of the tumor. Univariate and multivariate logistic regression analyses with an odds ratio (OR) were performed.

resultsThe tumors were IDH-wildtype glioblastoma in 306 cases and IDH-mutant glioblastoma in 21. Interobserver agreement for both qualitative and quantitative evaluations was moderate to excellent. The univariate analyses revealed a significant difference in age, seizure, tumor contrast enhancement, and nCET ( P < 0.05). The multivariate analysis revealed significant difference in age for all 3 readers (reader 1, odds ratio [OR] = 0.960, P = 0.012; reader 2, OR = 0.966, P = 0.048; reader 3, OR = 0.964, P = 0.026) and nCET for 2 readers (reader 1, OR = 3.082, P = 0.080; reader 2, OR = 4.500, P = 0.003; reader 3, OR = 3.078, P = 0.022).

conclusionsAge and nCET are the most useful parameters among the clinical and MRI parameters for differentiating IDH-mutant and IDH-wildtype glioblastomas.

Indexed as

GlioblastomaIsocitrate DehydrogenaseAdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesBiomarkers, TumorIsocitrate Dehydrogenase

Identifiers

PMID36877775
PMCPMC10348614
OpenAlexW4323309157

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.