Evidence map›Paper›PMID 41075167›Full record

ArticleNeuro-oncology2026

Contralateral neurofluid dynamics predict survival in IDH wild-type glioblastoma: A DTI-ALPS and free water imaging study.

Akifumi Hagiwara, Wataru Uchida, Takuya Ozawa, Kaito Takabayashi, Rui Zou, Benjamin M Ellingson, Christina Andica, Junko Kikuta, Toshiaki Akashi, Akihiko Wada and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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.

  1. Review
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Akifumi HagiwaraDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-5277-3249
Wataru UchidaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Takuya OzawaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kaito TakabayashiDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Rui ZouDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Benjamin M EllingsonUCLA Brain Tumor Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine, -University of California Los Angeles, Los Angeles, CA, USA.
Christina AndicaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Junko KikutaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Toshiaki AkashiDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Akihiko WadaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kanako Kunishima KumamaruDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Koji KamagataDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Osamu AkiyamaDepartment of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan.
Akihide KondoDepartment of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan.
Shigeki AokiDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-8491-0698

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
Agency for Medical Research and Development 25ck0106985s1302Agency for Medical Research and Development JP21wm0425006Japan Agency for Medical Research and Development JP18dm0307004Japan Agency for Medical Research and Development JP19dm0307101Japan Society for the Promotion of Science 23H02865Japan Society for the Promotion of Science 23K07189Japan Society for the Promotion of Science 23K14927JST JPMJPF2301Juntendo Research Branding ProjectNCI NIH HHS P50 CA211015Training Experts in Statistical Sciences
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) may disrupt glymphatic function and neurofluid dynamics locally and in distant brain regions. However, the prognostic relevance of such alterations remains unclear. We investigated whether diffusion tensor image analysis along the perivascular space (DTI-ALPS) and free water (FW) imaging serve as biomarkers of glymphatic dysfunction and survival in patients with IDH wild-type GBM.

methodsWe retrospectively analyzed preoperative MRI data from 277 patients in the UPENN-GBM and 269 patients in the UCSF-PDGM cohorts. The ALPS index was quantified in tumor regions and normal-appearing white matter (NAWM) in both hemispheres, and the FW volume fraction in the contralateral NAWM. Data harmonization was performed using ComBat to adjust for intersite variability. Survival analyses were conducted using log-rank tests and Cox regression models. Optimal ALPS index and FW thresholds were derived from the UPENN-GBM dataset and validated in the UCSF-PDGM.

resultsThe ALPS index was significantly lower in tumor regions than NAWM (P < .01). In the contralateral hemisphere of the UPENN-GBM cohort, a lower ALPS index and higher FW in NAWM were independently associated with shorter overall survival (HR = 0.75, P = .027 for ALPS index; HR = 1.34, P = .04 for FW). The identified thresholds successfully stratified survival in UPENN-GBM and were validated in UCSF-PDGM (P = .011 for ALPS; P = .038 for FW).

conclusionsNeurofluid dynamic alterations in the contralateral hemisphere, assessed using DTI-ALPS and FW imaging, were independently associated with survival in patients with IDH wild-type GBM. These findings support the use of glymphatic imaging markers for prognostic stratification and therapeutic targeting.

Indexed as

Brain NeoplasmsDiffusion Tensor ImagingGlioblastomaGlymphatic SystemIsocitrate DehydrogenaseAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesSurvival RateIsocitrate DehydrogenaseDTI-ALPSfree water imagingglioblastomaglymphatic systemneurofluid

Identifiers

PMID41075167
PMCPMC12962648

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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.