Evidence map›Paper›PMID 38410136›Full record

ArticleNeuro-oncology advances

Prediction of MGMT promotor methylation status in glioblastoma by contrast-enhanced T1-weighted intensity image.

Takahiro Sanada, Manabu Kinoshita, Takahiro Sasaki, Shota Yamamoto, Seiya Fujikawa, Shusei Fukuyama, Nobuhide Hayashi, Junya Fukai, Yoshiko Okita, Masahiro Nonaka and 13 more

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

23 authors at 11 institutions in 2 countries.

Takahiro SanadaDepartment of Neurosurgery, Asahikawa Medical University, Asahikawa, Japan.
Manabu KinoshitaDepartment of Neurosurgery, Asahikawa Medical University, Asahikawa, Japan.ORCID https://orcid.org/0000-0001-7923-6902
Takahiro SasakiDepartment of Neurological Surgery, Wakayama Medical University School of Medicine, Wakayama, Japan.
Shota YamamotoDepartment of Neurosurgery, Asahikawa Medical University, Asahikawa, Japan.
Seiya FujikawaDepartment of Neurosurgery, Asahikawa Medical University, Asahikawa, Japan.
Shusei FukuyamaDepartment of Neurosurgery, Asahikawa Medical University, Asahikawa, Japan.
Nobuhide HayashiDepartment of Neurosurgery, Wakayama Rosai Hospital, Wakayama, Japan.
Junya FukaiDepartment of Neurological Surgery, Wakayama Medical University School of Medicine, Wakayama, Japan.
Yoshiko OkitaDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Masahiro NonakaDepartment of Neurosurgery, NHO Osaka National Hospital, Osaka, Japan.
Takehiro UdaDepartment of Neurosurgery, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Hideyuki AritaDepartment of Neurosurgery, Osaka International Cancer Institute, Osaka, Japan.
Kanji MoriDepartment of Neurosurgery, Yao Municipal Hospital, Yao, Japan.
Kenichi IshibashiDepartment of Neurosurgery, Osaka City General Hospital, Osaka, Japan.
Koji TakanoDepartment of Neurosurgery, Osaka International Cancer Institute, Osaka, Japan.
Namiko NishidaDepartment of Neurosurgery, Tazuke Kofukai Foundation, Medical Research Institute, Kitano Hospital, Osaka, Japan.
Tomoko ShofudaDepartment of Biomedical Research and Innovation, Institute for Clinical Research, NHO Osaka National Hospital, Osaka, Japan.
Ema YoshiokaDepartment of Biomedical Research and Innovation, Institute for Clinical Research, NHO Osaka National Hospital, Osaka, Japan.
Daisuke KanematsuDepartment of Biomedical Research and Innovation, Institute for Clinical Research, NHO Osaka National Hospital, Osaka, Japan.
Mishie TaninoDepartment of Diagnostic Pathology, Asahikawa Medical University Hospital, Asahikawa, Japan.
Yoshinori KodamaDepartment of Neurosurgery, NHO Osaka National Hospital, Osaka, Japan.
Masayuki ManoDepartment of Central Laboratory and Surgical Pathology, NHO Osaka National Hospital, Osaka, Japan.
Yonehiro KanemuraDepartment of Diagnostic Pathology and Cytology, Osaka International Cancer Institute, Osaka, Japan.
Osaka National Hospital · JPAsahikawa Medical University · JPWakayama Medical University · JPKansai Medical University · JPKitano Hospital · JPOsaka City General Hospital · JPOsaka International Cancer Institute · JPOsaka Metropolitan University · JPQingdao University · CNToyonaka Municipal Hospital · JPWakayama Rosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The study aims to explore MRI phenotypes that predict glioblastoma's (GBM) methylation status of the promoter region of Methods: A total of 193 histologically and molecularly confirmed GBMs at the Kansai Network for Molecular Diagnosis of Central Nervous Tumors (KANSAI) were used as an exploratory cohort. From the Cancer Imaging Archive/Cancer Genome Atlas (TCGA) 93 patients were used as validation cohorts. "Thickened structure" was defined as the solid tumor component presenting circumferential extension or occupying >50% of the tumor volume. "Methylated contrast phenotype" was defined as indistinct enhancing circumferential border, heterogenous enhancement, or nodular enhancement. Inter-rater agreement was assessed, followed by an investigation of the relationship between radiological findings and pMGMT methylation status. Results: Fleiss's Kappa coefficient for "Thickened structure" was 0.68 for the exploratory and 0.55 for the validation cohort, and for "Methylated contrast phenotype," 0.30 and 0.39, respectively. The imaging feature, the presence of "Thickened structure" and absence of "Methylated contrast phenotype," was significantly predictive of pMGMT unmethylation both for the exploratory ( Conclusions: The present study showed that qualitative assessment of contrast-enhanced T1-weighted intensity images helps predict GBM's pMGMT methylation status.

Indexed as

glioblastomamagnetic resonance imageMGMTMGMT promoter methylationradiogenomics

Identifiers

PMID38410136
PMCPMC10896622
OpenAlexW4391463612

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.