Evidence map›Paper›PMID 40842643›Full record

ArticleNeuro-oncology advances

MRI-defined patterns of infiltration and outcome in patients with glioblastoma.

Katrin Scheu, Edith Vandieken, Katharina Hense, Katharina Rosengarth, Tareq Haedenkamp, Markus Lenglinger, Elisabeth Bumes, Ralf Linker, Martin Proescholdt, Nils Ole Schmidt and 4 more

Abstract 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 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. Article
  2. 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

14 authors.

Katrin ScheuDepartment of Neurology, University Hospital Regensburg, Regensburg, Germany.ORCID https://orcid.org/0009-0003-5999-2817
Edith VandiekenDepartment of Neurology, University Hospital Regensburg, Regensburg, Germany.
Katharina HenseDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Katharina RosengarthDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Tareq HaedenkampWilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.ORCID https://orcid.org/0000-0002-0590-8929
Markus LenglingerWilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Elisabeth BumesWilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.ORCID https://orcid.org/0000-0001-6915-3206
Ralf LinkerDepartment of Neurology, University Hospital Regensburg, Regensburg, Germany.
Martin ProescholdtDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Nils Ole SchmidtDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Markus J RiemenschneiderDepartment of Neuropathology, University Hospital Regensburg, Regensburg, Germany.
Christina WendlCenter for Neuroradiology, Institute for Diagnostic Radiology, University Hospital Regensburg, Regensburg and District County Hospital Regensburg, Regensburg, Germany.
Isabel WiesingerCenter for Neuroradiology, Institute for Diagnostic Radiology, University Hospital Regensburg, Regensburg and District County Hospital Regensburg, Regensburg, Germany.
Peter HauWilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.ORCID https://orcid.org/0000-0003-3894-5053

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioblastoma is a rare primary tumor of the brain. Infiltration of glioblastoma into the brain parenchyma may influence prognosis. We therefore aimed to investigate possible influences of distinct patterns of MRI-defined infiltration on the prognosis. Methods: We performed a retrospective analysis of sequential patients with glioblastoma between April 2005 and December 2017. Patient data were collected from the hospital data management system, MRI images from the hospital PACS and from cooperative radiology units. Patients were divided into subgroups based on the tumor growth pattern (frame-like, palisade-like, infilling). The impact of various factors on overall survival and progression-free survival was then calculated and compared between the groups. Results: 259 patients were included. Of the 258 evaluable patients, 117 showed a palisade-like infiltration, 98 were classified as non-infiltrating frame-like, and 43 as infilling dense-solid. Standard prognostic factors aligned to published data. In multivariate analysis, no significant influence of palisade-like growth on overall survival and progression-free survival could be detected. In Cox regression analyses, we found a significant effect for overall survival in palisade-like tumors in the univariate analysis (OR 1.354, 95% CI 1.032-1.776, Conclusion: We show here a possible correlation of MRI-based infiltration patterns and survival in patients with glioblastoma. Our results correspond well to published literature that shows that certain subtypes of glioblastoma exhibit an enhanced invasion pattern and decreased survival. Our results should be verified in a prospective setting in a large patient cohort and by using automated methods for the classification of infiltration patterns in glioblastoma.

Indexed as

glioblastomainfiltrationmagnetic resonance imagingprognostic markerssurvival

Identifiers

PMID40842643
PMCPMC12365898

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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.