Evidence map›Paper›PMID 40231225›Full record

ArticlePhysics and imaging in radiation oncology2025

Magnetic resonance imaging in glioblastoma radiotherapy - beyond treatment adaptation.

Viktor R Paczona, Zoltán Végváry, Gyöngyi Kelemen, Ágnes Dobi, Emőke Borzási, Linda Varga, Adrienne Cserháti, Angéla Csomor, Bence Radics, Sándor Dósa and 7 more

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Viktor R PaczonaDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Zoltán VégváryDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Gyöngyi KelemenDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Ágnes DobiDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Emőke BorzásiDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Linda VargaDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Adrienne CserhátiDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Angéla CsomorDepartment of Radiology, University of Szeged. 6 Semmelweis utca, Szeged 6720, Hungary.
Bence RadicsDepartment of Pathology, University of Szeged. 2 Állomás utca, Szeged 6725, Hungary.
Sándor DósaDepartment of Pathology, University of Szeged. 2 Állomás utca, Szeged 6725, Hungary.
Márton BalázsfiDepartment of Neurosurgery, University of Szeged. 6 Semmelweis utca, Szeged 6720, Hungary.
Emese FodorDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Ferenc BorzákDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Árpád PuskásDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Zoltán VargaDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Judit OláhDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.
Katalin HideghétyDepartment of Oncotherapy, University of Szeged. 12 Korányi fasor, Szeged 6720, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: The treatment of glioblastoma remains a challenging task for modern radiation oncology. Adaptive radiotherapy potentially improves local control and reduces toxicity to healthy brain tissue. The purpose of the study was to examine the safety of adaptive radiotherapy in glioblastoma, using a margin-reduction approach based on an interim magnetic resonance image (MRI). Furthermore, it aimed to identify radiomorphological features that may correlate with disease outcome. Materials and Methods: 108 glioblastoma patients receiving standard chemoradiotherapy underwent repeated MRI after 40 Gy. The images were compared to the pre-radiotherapy MRI, based on the following criteria: midline shift, perifocal edema, contrast enhancement, ventricular compression, new lesion outside the radiation field, gross tumor volume (GTV) and planning target volume (PTV) size. Target volumes were adjusted by taking into consideration the new intracranial conditions and the remaining 20 Gy was delivered. Statistical analysis consisted of the comparison of the radiomorphological features to overall and progression free survival. Results: Increased or unchanged contrast enhancement (HR: 2.11 and 1.18 consecutively) and ventricular compression (HR: 13.58 and 2.53) on the interim MRI resulted in significantly poorer survival. GTV size (initial: 61.4 [3.8-170.9], adapted: 45.3 [0-206.8] cm3) reduction (absolute: -16.2 [-115.3-115.5] cm3, relative: -24.5 [-100-258.9] %) also had demonstrable impact on survival. Changes in PTV, however, did not significantly correlate with survival. Conclusions: By reducing PTV based on an interim MRI, we achieved substantial sparing of critical normal tissues, without compromising survival. The established evaluation categories can facilitate the systematic review of interim MRI findings.

Indexed as

Adaptive radiotherapyARTGlioblastomaGliomaMagnetic resonance imagingMRI

Identifiers

PMID40231225
PMCPMC11994382

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Registered trials

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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.