Evidence map›Paper›PMID 40214815›Full record

ArticleJournal of mathematical biology2025

Efficient proton transport modelling for proton beam therapy and biological quantification.

Ben S Ashby, Veronika Chronholm, Daniel K Hajnal, Alex Lukyanov, Katherine MacKenzie, Aaron Pim, Tristan Pryer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ben S AshbyInstitute of Mathematical Innovation, University of Bath, Bath, UK.
Veronika ChronholmDepartment of Mathematical Sciences, University of Bath, Bath, UK.
Daniel K HajnalDepartment of Mathematical Sciences, University of Bath, Bath, UK.
Alex LukyanovDepartment of Mathematics and Statistics, University of Reading, Reading, UK.
Katherine MacKenzieInstitute of Mathematical Innovation, University of Bath, Bath, UK.
Aaron PimDepartment of Mathematical Sciences, University of Bath, Bath, UK.
Tristan PryerInstitute of Mathematical Innovation, University of Bath, Bath, UK. tmp38@bath.ac.uk.ORCID 0000-0003-4499-0563

Funding

Engineering and Physical Sciences Research Council EP/W026899/1Leverhulme Trust EP/S022945/1Leverhulme Trust RPG-2021-238
6 · The paper itself

Abstract

In this work, we present a fundamental mathematical model for proton transport, tailored to capture the key physical processes underpinning Proton Beam Therapy (PBT). The model provides a robust and computationally efficient framework for exploring various aspects of PBT, including dose delivery, linear energy transfer, treatment planning and the evaluation of relative biological effectiveness. Our findings highlight the potential of this model as a complementary tool to more complex and computationally intensive simulation techniques currently used in clinical practice.

Indexed as

Models, BiologicalNeoplasmsProton TherapyComputer SimulationHumansLinear Energy TransferMathematical ConceptsProtonsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRelative Biological EffectivenessProtonsBragg peakLinear energy transferProton transportRadiotherapy modellingRelative biological effectivenessTreatment planning

Identifiers

PMID40214815
PMCPMC11992007

What OpenQuestion holds

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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.