ReviewThe British journal of radiology2020
Treatment planning for proton therapy: what is needed in the next 10 years?
Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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.
Who cites it
16 citing papers in PubMed.
- Artificial Intelligence in Particle Therapy Treatment Planning: Current Advances and Future Directions.International journal of particle therapy · 2026Article
- An ion treatment planning framework for inclusion of nanodosimetric ionization detail through cluster dose.Medical physics · 2026Article
- Recent advancements in radiotherapy for hepatocellular carcinoma.ESMO gastrointestinal oncology · 2026Review
- Automated Treatment Plan Integrity Verification for Proton Therapy: Enhancing Error Detection and Workflow Efficiency.International journal of particle therapy · 2025Article
- Understanding and Exacerbating the Biological Response of Uveal Melanoma to Proton Beam Therapy.Cancers · 2025Review
- Proton Therapy Patient Selection Methods and the Impact of COVID-19: A Cross-Sectional International Survey.Journal of medical radiation sciences · 2025Article
- Efficient proton transport modelling for proton beam therapy and biological quantification.Journal of mathematical biology · 2025Article
- Commissioning of a commercial treatment planning system for scanned carbon-ion radiotherapy.Journal of applied clinical medical physics · 2025Article
- Innovative Education Method for a More Effective, Faster, and Valued Training in Radiation Therapy Treatment Planning.Advances in radiation oncology · 2024Article
- Optimizing Gantry Breakpoint Angles in Proton Therapy: Enhancing Efficiency and Patient Experience.International journal of particle therapy · 2024Article
- Ionization detail parameters and cluster dose: a mathematical model for selection of nanodosimetric quantities for use in treatment planning in charged particle radiotherapy.Physics in medicine and biology · 2023Article
- Framework for Quality Assurance of Ultrahigh Dose Rate Clinical Trials Investigating FLASH Effects and Current Technology Gaps.International journal of radiation oncology, biology, physics · 2023Review
- Reconstruction of thermoacoustic emission sources induced by proton irradiation using numerical time reversal.Physics in medicine and biology · 2023Article
- Article
- Proton therapy special feature: introductory editorial.The British journal of radiology · 2020Article
- Latest developments in in-vivo imaging for proton therapy.The British journal of radiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Treatment planning is the process where the prescription of the radiation oncologist is translated into a deliverable treatment. With the complexity of contemporary radiotherapy, treatment planning cannot be performed without a computerized treatment planning system. Proton therapy (PT) enables highly conformal treatment plans with a minimum of dose to tissues outside the target volume, but to obtain the most optimal plan for the treatment, there are a multitude of parameters that need to be addressed. In this review areas of ongoing improvements and research in the field of PT treatment planning are identified and discussed. The main focus is on issues of immediate clinical and practical relevance to the PT community highlighting the needs for the near future but also in a longer perspective. We anticipate that the manual tasks performed by treatment planners in the future will involve a high degree of computational thinking, as many issues can be solved much better by
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Registered trials
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.