Evidence map›Paper›PMID 41117749›Full record

ArticleJournal of applied clinical medical physics2025

Decision-making between DCA and VMAT in Linac-based SRS for brain lesions: A dosimetric analysis based on tumor size and geometry and introduction of Qasym.

Lara Caglayan, Davide Scafa, Patrick Eich, Christina Leitzen, Fabian Kugel, Stephan Garbe, Gustavo Renato Sarria, Christos Moustakis, Dimos Baltas, Julian Philipp Layer and 6 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 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

16 authors.

Lara CaglayanDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Davide ScafaDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Patrick EichDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Christina LeitzenDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Fabian KugelDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Stephan GarbeDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Gustavo Renato SarriaDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Christos MoustakisDepartment of Radiation Oncology, University of Leipzig Medical Center, Leipzig, Germany.
Dimos BaltasDepartment of Radiation Oncology, Universitätsklinikum Freiburg, Freiburg im Breisgau, Germany.
Julian Philipp LayerDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Cas Stefaan DejonckheereDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Andrea Renate GlasmacherDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Shari WiegreffeDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Anca L GrosuDepartment of Radiation Oncology, Universitätsklinikum Freiburg, Freiburg im Breisgau, Germany.
Eleni GkikaDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.
Youness NourDepartment of Radiation Oncology, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-3303-048X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLinac-based SRS provides a highly precise noninvasive treatment option for intracranial lesions. DCA and VMAT are commonly used Linac-based techniques. There are no standardized guidelines for technique selection, particularly considering the geometric properties of the lesions. We thus sought to compare DCA and VMAT to define a workflow for clinical decision-making. This study introduces Q MATERIALS AND

methodsBetween 2018 and 2021, a total of 89 brain metastases from 24 patients with lesion volumes up to 4.3 cm

resultsVMAT resulted in lower CI values, especially for volumes exceeding 2 cm

conclusionThis study provides detailed dosimetric information on two commonly applied planning techniques for Linac-based SRS treatment for brain metastases. These findings might support decision making for optimal technique selection upon volumetric features. Q

Indexed as

Brain NeoplasmsDecision MakingRadiosurgeryRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskParticle AcceleratorsRadiometryRadiotherapy Dosagebrain metastasesdosimetric comparisondynamic conformal arc (DCA)lesion asymmetryQasymstereotactic radiosurgery (SRS)treatment planning optimizationvolumetric modulated arc therapy (VMAT)

Identifiers

PMID41117749
PMCPMC12539279

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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.