Evidence map›Paper›PMID 40487726›Full record

ArticlePhysics and imaging in radiation oncology2025

Feasibility of prompt gamma verification for cone-beam computed tomography-based online adaptive proton therapy.

Stefanie Bertschi, Kristin Stützer, Jonathan Berthold, Ulrik Elstrøm, Anne Vestergaard, Giuliano Perotti Bernardini, Gabriel Marmitt, Guillaume Janssens, Julian Pietsch, Stefan Both and 2 more

Abstract read
PubMed Full text at PMC Publisher
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 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

12 authors.

Stefanie BertschiOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
Kristin StützerOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
Jonathan BertholdOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
Ulrik ElstrømDanish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
Anne VestergaardDanish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
Giuliano Perotti BernardiniDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Gabriel MarmittDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Guillaume JanssensIon Beam Applications SA, Louvain-la-Neuve, Belgium.
Julian PietschOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
Stefan BothDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Stine KorremanDanish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
Christian RichterOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Prompt-gamma based Material and methods: For a homogeneous and anthropomorphic phantom, a fan-beam computed tomography (CT) and a CBCT were acquired. Corrected CBCT and virtual CT datasets were generated. PGI simulations and independent dose calculations were performed on the different CBCT datasets and compared to the fan-beam CT, extracting PGI-based and integrated-depth-dose (IDD)-based range-shifts. For three head-and-neck cancer patients, PGI-based shifts between the fan-beam CT and a synthetic CT (from a daily CBCT) were compared to line-dose-based shifts from clinical dose calculations. Results: For the homogeneous phantom, all CBCT datasets enabled adequate PGI simulations, with PGI-based shifts correlating very closely with IDD-based shifts. For the anthropomorphic phantom and the three patient datasets, observed PGI-based shifts were correlated to IDD-based shifts. Conclusions: For phantom and patient data, PGI simulations depended mainly on the reliability of depth-dose distributions on the planning image with negligible uncertainties from PG emission. For CBCT-based OAPT, correct depth-dose distributions are required. Hence, PGI is also a promising treatment verification tool for CBCT-based OAPT.

Indexed as

Cone-beam CTOnline-adaptive proton therapyPrompt-gamma imagingProton therapyTreatment verification

Identifiers

PMID40487726
PMCPMC12141097

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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.