Evidence map›Paper›PMID 39387957›Full record

ArticleJournal of neuro-oncology2025

Advanced imaging reveals enhanced malignancy in glioblastomas involving the subventricular zone: evidence of increased infiltrative growth and perfusion.

Michael Griessmair, Severin Schramm, Julian Ziegenfeuter, Julian Canisius, Kirsten Jung, Claire Delbridge, Friederike Schmidt-Graf, Meike Mitsdoerffer, Claus Zimmer, Bernhard Meyer and 2 more

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Review
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

12 authors.

Michael GriessmairDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany. michael.griessmair@tum.de.
Severin SchrammDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Julian ZiegenfeuterDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Julian CanisiusDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Kirsten JungDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Claire DelbridgeDept. of Pathology, TU Munich, 81675, Munich, Germany.
Friederike Schmidt-GrafDept. of Neurology, Klinikum Rechts der Isar, TU Munich, 81675, Munich, Germany.
Meike MitsdoerfferDept. of Neurology, Klinikum Rechts der Isar, TU Munich, 81675, Munich, Germany.
Claus ZimmerDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Bernhard MeyerDept. of Neurosurgery, Klinikum Rechts der Isar, TU Munich, 81675, Munich, Germany.
Marie-Christin MetzDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Benedikt WiestlerDept. of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Ismaningerstr. 22, 81675, Munich, Germany.

Funding

Generalizable quantitative imaging and machine learning signatures in glioblastoma, for precision diagnostics and personalized treatment: the ReSPOND consortiumR01CA269948 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos · 2022 to 2026
$3.2M
NCI NIH HHS R01 CA269948
6 · The paper itself

Abstract

backgroundGlioblastoma's infiltrative growth and heterogeneity are influenced by neural, molecular, genetic, and immunological factors, with the precise origin of these tumors remaining elusive. Neurogenic zones might serve as the tumor stem cells' nest, with tumors in contact with these zones exhibiting worse outcomes and more aggressive growth patterns. This study aimed to determine if these characteristics are reflected in advanced imaging, specifically diffusion and perfusion data.

methodsIn this monocentric retrospective study, 137 glioblastoma therapy-naive patients (IDH-wildtype, grade 4) with advanced preoperative MRI, including perfusion and diffusion imaging, were analyzed. Tumors and neurogenic zones were automatically segmented. Advanced imaging metrics, including cerebral blood volume (CBV) from perfusion imaging, tissue volume mask (TVM), and free water corrected fractional anisotropy (FA-FWE) from diffusion imaging, were extracted.

resultsSVZ infiltration positively correlated with CBV, indicating higher perfusion in tumors. Significant CBV differences were noted between high and low SVZ infiltration cases at specific percentiles. Negative correlation was observed with TVM and positive correlation with FA-FWE, suggesting more infiltrative tumor growth. Significant differences in TVM and FA-FWE values were found between high and low SVZ infiltration cases. DISCUSSION: Glioblastomas with SVZ infiltration exhibit distinct imaging characteristics, including higher perfusion and lower cell density per voxel, indicating a more infiltrative growth and higher vascularization. Stem cell-like characteristics in SVZ-infiltrating cells could explain the increased infiltration and aggressive behavior. Understanding these imaging and biological correlations could enhance the understanding of glioblastoma evolution.

Indexed as

Brain NeoplasmsGlioblastomaAdultAgedDiffusion Magnetic Resonance ImagingFemaleHumansLateral VentriclesMagnetic Resonance ImagingMaleMiddle AgedRetrospective Studies850k methylation analysisAdvanced imaging biomarkersFully automated tumor segmentationsTumorigenesis of glioblastoma

Identifiers

PMID39387957
PMCPMC11695386

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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.