Evidence map›Paper›PMID 32932560›Full record

ArticleKorean journal of radiology2021

Comparison of Genetic Profiles and Prognosis of High-Grade Gliomas Using Quantitative and Qualitative MRI Features: A Focus on G3 Gliomas.

Eun Kyoung Hong, Seung Hong Choi, Dong Jae Shin, Sang Won Jo, Roh Eul Yoo, Koung Mi Kang, Tae Jin Yun, Ji Hoon Kim, Chul Ho Sohn, Sung Hye Park and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 14 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

15 authors at 2 institutions in 1 country.

Eun Kyoung HongDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-5440-0451
Seung Hong ChoiDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-0412-2270
Dong Jae ShinDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-8044-6277
Sang Won JoDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-9542-7378
Roh Eul YooDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-5625-5921
Koung Mi KangDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-9643-2008
Tae Jin YunDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-8441-4574
Ji Hoon KimDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-6349-6950
Chul Ho SohnDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-0039-5746
Sung Hye ParkDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-8681-1597
Jae Kyoung WonDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-1459-8093
Tae Min KimDepartment of Internal Medicine, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0001-6145-4426
Chul Kee ParkDepartment of Neurosurgery, Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-2350-9876
Il Han KimDepartment of Radiation Oncology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-4755-5201
Soon Tae LeeDepartment of Neurology, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-4767-7564
Seoul National University Hospital · KRSeoul National University · KR

Funding

Institute for Basic Science IBS-R006-A1MOHW HI16C1111NRF NRF-2016M3C7A1914002NRF NRF-2020R1A2C2008949NRF NRF-2020R1A4A1018714SNU
6 · The paper itself

Abstract

objectiveTo evaluate the association of MRI features with the major genomic profiles and prognosis of World Health Organization grade III (G3) gliomas compared with those of glioblastomas (GBMs). MATERIALS AND

methodsWe enrolled 76 G3 glioma and 155 GBM patients with pathologically confirmed disease who had pretreatment brain MRI and major genetic information of tumors. Qualitative and quantitative imaging features, including volumetrics and histogram parameters, such as normalized cerebral blood volume (nCBV), cerebral blood flow (nCBF), and apparent diffusion coefficient (nADC) were evaluated. The G3 gliomas were divided into three groups for the analysis: with this isocitrate dehydrogenase (

resultsIDHmut G3 gliomas showed a larger volume (

conclusionWe found significant differences in MRI features, including volumetrics, CBV, and ADC, in G3 gliomas, according to

Indexed as

Magnetic Resonance ImagingAdultAgedBrain NeoplasmsCerebral Blood VolumeCerebrovascular CirculationFemaleGlioblastomaGliomaHumansIsocitrate DehydrogenaseKaplan-Meier EstimateMaleMiddle AgedNeoplasm GradingPrognosisIsocitrate DehydrogenaseApparent diffusion coefficientCerebral blood flowCerebral blood volumeGlioblastomaGliomaIsocitrate dehydrogenaseMagnetic resonance imaging

Identifiers

PMID32932560
PMCPMC7817637
OpenAlexW3084889288

What OpenQuestion holds

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LicenceCC BY-NC
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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.