Evidence map›Paper›PMID 40010996›Full record

ArticleIn vivo (Athens, Greece)

Feasibility of Coplanar VMAT for Brain Metastases Using Halcyon With Knowledge-based Planning from Non-coplanar Plan.

Yusuke Sakai, Kazuki Kubo, Kenji Matsumoto, Makoto Hosono, Hajime Monzen

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  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

5 authors.

Yusuke SakaiDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Osaka, Japan.
Kazuki KuboDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Osaka, Japan.
Kenji MatsumotoDepartment of Radiology, Kindai University Hospital, Osaka, Japan.
Makoto HosonoDepartment of Radiation Oncology, Faculty of Medicine, Kindai University, Osaka, Japan.
Hajime MonzenDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, Osaka, Japan; hmon@med.kindai.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThis study aimed to clarify the feasibility of creating coplanar single-isocenter volumetric modulated arc therapy (SI-VMAT) with a Halcyon using a knowledge-based planning system based on non-coplanar plans for treating multiple brain metastases. PATIENTS AND

methodsA knowledge-based RapidPlan (RP) planning model was built using 32 TrueBeam SI-VMAT plans including one full arc and three non-coplanar partial arcs. To confirm its applicability across different beam geometries using the Halcyon system, the model was validated on the basis of the root-mean-square error (RSME), deviation rate, and absolute differences between estimated and actual dose-volume histograms (DVHs). Dosimetric performance of TrueBeam and Halcyon plans was then compared for 10 patients.

resultsThe average RSME values for the Halcyon and TrueBeam plans were 0.75±0.40 Gy and 0.46±0.28 Gy, respectively (

conclusionThe RP model can effectively predict doses for Halcyon, regardless of different beam configurations. Coplanar SI-VMAT with Halcyon can feasibly be used in clinical applications, such as the treatment of multiple brain metastases.

Indexed as

Brain NeoplasmsRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedFeasibility StudiesHumansKnowledge BasesOrgans at RiskRadiometryRadiotherapy DosageHalcyonknowledge-based planningmultiple brain metastasesRapidPlanSingle-isocenter VMAT

Identifiers

PMID40010996
PMCPMC11884445

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LicenceCC BY-NC-ND
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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.