Evidence map›Paper›PMID 35138915›Full record

ArticleThe British journal of radiology2022

Gamma distribution model of diffusion MRI for evaluating the isocitrate dehydrogenase mutation status of glioblastomas.

Hanae Takase, Osamu Togao, Kazufumi Kikuchi, Nobuhiro Hata, Ryusuke Hatae, Toru Chikui, Kenji Tokumori, Yukiko Kami, Daisuke Kuga, Yuhei Sangatsuda and 3 more

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In one paragraph

Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Hanae TakaseDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Osamu TogaoDepartment of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-5910-7852
Kazufumi KikuchiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Nobuhiro HataDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Ryusuke HataeDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Toru ChikuiDepartment of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
Kenji TokumoriDepartment of Clinical Radiology, Faculty of Medical Technology, Teikyo University, Fukuoka, Japan.
Yukiko KamiDepartment of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
Daisuke KugaDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yuhei SangatsudaDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Masahiro MizoguchiDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Akio HiwatashiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kousei IshigamiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kyushu University · JPTeikyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether the γ distribution (GD) model of diffusion MRI is useful in the evaluation of the isocitrate dehydrogenase (IDH) mutation status of glioblastomas.

methods12 patients with IDH-mutant glioblastomas and 54 patients with IDH-wildtype glioblastomas were imaged with diffusion-weighted imaging using 13 b-values from 0 to 1000 s/mm

resultsThe IDH-mutant group's f1 (0.474  ±  0.143) was significantly larger than the IDH-wildtype group's (0.347  ±  0.122,

conclusionThe GD model could well describe the pathological features of IDH-mutant and IDH-wildtype glioblastomas, and was useful in the differentiation of these tumors. ADVANCES IN KNOWLEDGE: Diffusion MRI based on the γ distribution model could well describe the pathological features of IDH-mutant and IDH-wildtype glioblastomas, and its use enabled the significant differentiation of these tumors. The γ distribution model may contribute to the non-invasive identification of the IDH mutation status based on histological viewpoint.

Indexed as

Brain NeoplasmsGlioblastomaDiffusion Magnetic Resonance ImagingHumansIsocitrate DehydrogenaseMagnetic Resonance ImagingMutationRetrospective StudiesIsocitrate Dehydrogenase

Identifiers

PMID35138915
PMCPMC10993972
OpenAlexW4210838450

What OpenQuestion holds

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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.