Evidence map›Paper›PMID 42388098›Full record

ArticleKorean journal of radiology2026

Distinguishing Molecular and Histologic Glioblastomas Using Multiparametric MRI-Based Habitat Analysis.

Minseo Choi, Yunseo Choi, Junhyeok Lee, Seong Yun Jeong, Minchul Kim, Inpyeong Hwang, Ji Eun Park, Yae Won Park, Seung Hong Choi, Kyu Sung Choi

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Korean journal of radiology, 2026. 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
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

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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.

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

10 authors.

Minseo Choi *Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8060-2623
Yunseo Choi *CHA Bundang Medical Center, Seongnam, Republic of Korea.ORCID https://orcid.org/0009-0006-3606-9343
Junhyeok LeeInterdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7489-5829
Seong Yun JeongDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0008-3124-5437
Minchul KimDepartment of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-4614-1146
Inpyeong HwangDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-1291-8973
Ji Eun ParkDivision of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-4419-4682
Yae Won ParkDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8907-5401
Seung Hong ChoiDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0412-2270
Kyu Sung ChoiDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-5175-3307

Funding

Korea Health Industry Development Institute RS-2024-00439549National Research Foundation of Korea RS-2023-00251022Seoul National University Hospital 04-2024-0600Seoul National University Hospital 04-2025-2060
6 · The paper itself

Abstract

objectiveTo explore how molecular glioblastoma (mol-GBM) differs from histological glioblastoma (hist-GBM) in tumor heterogeneity using multi-parametric physiologic MRI-based tumor habitat analysis. MATERIALS AND

methodsIn this multi-institutional retrospective study, imaging data were collected from two tertiary centers: 13 mol-GBMs and 39 hist-GBMs from institution 1 (2007-2024) for habitat definition, model development, and internal validation and nine mol-GBMs were obtained from institution 2 (2020-2024) for external validation. The apparent diffusion coefficient (ADC; cellularity), relative cerebral blood volume (rCBV; vascularity), and volume transfer constant (K

resultsFifty-two patients (hist-GBM, n = 39; mol-GBM, n = 13; mean age, 60.0 ± 11.1 years; 22 male) were evaluated. Habitat analysis revealed that mol-GBM had a significantly lower proportion of the most malignant habitat (cluster 3: low-ADC, high rCBV, high K

conclusionMultiparametric physiologic MRI habitat analysis demonstrated differences in the tumor heterogeneity between mol-GBM and hist-GBM. Tumor permeability (K

Indexed as

Brain NeoplasmsGlioblastomaMultiparametric Magnetic Resonance ImagingAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesDiffusion MRIGlioblastomaMolecular glioblastomaPerfusion MRITumor habitat

Identifiers

PMID42388098
PMCPMC13333228

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