Evidence map›Paper›PMID 37124167›Full record

ArticlePhysics and imaging in radiation oncology2023

A survey of practice patterns for real-time intrafractional motion-management in particle therapy.

Ye Zhang, Petra Trnkova, Toshiyuki Toshito, Ben Heijmen, Christian Richter, Marianne Aznar, Francesca Albertini, Alexandra Bolsi, Juliane Daartz, Jenny Bertholet and 1 more

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Maintaining quality of scientific peer-review and publishing inPhysics and imaging in radiation oncology · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Artificial intelligence for treatment delivery: image-guided radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. The role of 4D particle therapy in daily patient care and research.Physics and imaging in radiation oncology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Ye ZhangCenter for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland.
Petra TrnkovaDepartment of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
Toshiyuki ToshitoNagoya Proton Therapy Center, Nagoya City University West Medical Center, Nagoya, Japan.
Ben HeijmenDepartment of Radiotherapy, Erasmus University Medical Center (Erasmus MC), Rotterdam, the Netherlands.
Christian RichterOncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Marianne AznarFaculty of Biology, Medicine and Health, Division of Cancer Sciences, University of Manchester, United Kingdom.
Francesca AlbertiniCenter for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland.
Alexandra BolsiCenter for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland.
Juliane DaartzF. Burr Proton Therapy, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
Jenny BertholetDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, Bern, Switzerland.
Antje KnopfCenter for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Organ motion compromises accurate particle therapy delivery. This study reports on the practice patterns for real-time intrafractional motion-management in particle therapy to evaluate current clinical practice and wishes and barriers to implementation. Materials and methods: An institutional questionnaire was distributed to particle therapy centres worldwide (7/2020-6/2021) asking which type(s) of real-time respiratory motion management (RRMM) methods were used, for which treatment sites, and what were the wishes and barriers to implementation. This was followed by a three-round DELPHI consensus analysis (10/2022) to define recommendations on required actions and future vision. With 70 responses from 17 countries, response rate was 100% for Europe (23/23 centres), 96% for Japan (22/23) and 53% for USA (20/38). Results: Of the 68 clinically operational centres, 85% used RRMM, with 41% using both rescanning and active methods. Sixty-four percent used active-RRMM for at least one treatment site, mostly with gating guided by an external marker. Forty-eight percent of active-RRMM users wished to expand or change their RRMM technique. The main barriers were technical limitations and limited resources. From the DELPHI analysis, optimisation of rescanning parameters, improvement of motion models, and pre-treatment 4D evaluation were unanimously considered clinically important future focus. 4D dose calculation was identified as the top requirement for future commercial treatment planning software. Conclusion: A majority of particle therapy centres have implemented RRMM. Still, further development and clinical integration were desired by most centres. Joint industry, clinical and research efforts are needed to translate innovation into efficient workflows for broad-scale implementation.

Indexed as

Image-guided particle therapyIntrafraction motionParticle/proton therapyReal-time respiratory motion managementRescanning

Identifiers

PMID37124167
PMCPMC10133874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.