Evidence map›Paper›PMID 38196738›Full record

ArticleNeuro-oncology advances

Quantification of perineural satellitosis in pretreatment glioblastoma with structural MRI and a diffusion tensor imaging template.

Rik van den Elshout, Benthe Ariëns, Joost Blaauboer, Frederick J A Meijer, Anja G van der Kolk, Morteza Esmaeili, Tom W J Scheenen, Dylan J H A Henssen

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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Predicting glioblastoma progression using MR diffusion tensor imaging: A systematic review.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Pooled it
  2. Article
  3. Article
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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

8 authors.

Rik van den ElshoutDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-8765-3017
Benthe AriënsDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Joost BlaauboerDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Frederick J A MeijerDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Anja G van der KolkDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Morteza EsmaeiliDepartment of Diagnostic Imaging, Akershus University Hospital, Lørenskog, Norway.
Tom W J ScheenenDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Dylan J H A HenssenDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Survival outcomes for glioblastoma (GBM) patients remain unfavorable, and tumor recurrence is often observed. Understanding the radiological growth patterns of GBM could aid in improving outcomes. This study aimed to examine the relationship between contrast-enhancing tumor growth direction and white matter, using an image registration and deformation strategy. Methods: In GBM patients 2 pretreatment scans (diagnostic and neuronavigation) were gathered retrospectively, and coregistered to a template and diffusion tensor imaging (DTI) atlas. The GBM lesions were segmented and coregistered to the same space. Growth vectors were derived and divided into vector populations parallel (Φ = 0-20°) and perpendicular (Φ = 70-90°) to white matter. To test for statistical significance between parallel and perpendicular groups, a paired samples Student's Results: For 78 GBM patients (mean age 61 years ± 13 SD, 32 men), the included GBM lesions showed a predominant preference for perineural satellitosis ( Conclusions: The presented strategy showed that tumor growth direction in pretreatment GBM patients correlated with white matter architecture. Future studies with patient-specific DTI data are required to verify the accuracy of this method prospectively to identify its usefulness as a clinical metric in pre and posttreatment settings.

Indexed as

biomarkersbrainDTI atlasglioblastoma (GBM)magnetic resonance imaging

Identifiers

PMID38196738
PMCPMC10776201

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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.