Evidence map›Paper›PMID 41853124›Full record

ArticlePhysics and imaging in radiation oncology2026

Treatment planning for lung cancer reirradiation accounting for previously delivered dose.

David P Walton, Christopher Thompson, Dominic Lowe, Christopher J H Pagett, John Lilley, Stina Svensson, Kjell Eriksson, Rasmus Bokrantz, Jakob Ödén, Louise Murray and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physics and imaging in radiation oncology, 2026. 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

12 authors.

David P WaltonDepartment of Radiotherapy Physics, Barts Health NHS Trust, London, UK.
Christopher ThompsonDepartment of Medical Physics, Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Dominic LoweDepartment of Clinical Oncology, Leeds Cancer Centre, Leeds teaching Hospitals NHS Trust, Leeds, UK.
Christopher J H PagettDepartment of Medical Physics, Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
John LilleyDepartment of Medical Physics, Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Stina SvenssonRaySearch Laboratories, Stockholm, Sweden.
Kjell ErikssonRaySearch Laboratories, Stockholm, Sweden.
Rasmus BokrantzRaySearch Laboratories, Stockholm, Sweden.
Jakob ÖdénRaySearch Laboratories, Stockholm, Sweden.
Louise MurrayDepartment of Clinical Oncology, Leeds Cancer Centre, Leeds teaching Hospitals NHS Trust, Leeds, UK.
Mark TeoDepartment of Clinical Oncology, Leeds Cancer Centre, Leeds teaching Hospitals NHS Trust, Leeds, UK.
Ane AppeltDepartment of Medical Physics, Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reirradiation is increasingly used for recurrent and new primary cancers, but dedicated planning tools are limited. We integrated deformable image registration and radiobiologically consistent dose accumulation into plan optimisation to improve plan quality and robustness, applying this approach to six lung cancer cases and comparing it with a manual, maximum point-dose method. The integrated automated approach delivered higher target doses within organ-at-risk limits, maintained robustness, and was qualitatively preferable in blinded comparison. It produced clinically acceptable dose distributions for 5/6 patients, versus 3/6 with the manual method, suggesting enhanced and potentially more efficient reirradiation planning.

Indexed as

Dose accumulationEquieffective doseLung cancerReirradiationTreatment planning

Identifiers

PMID41853124
PMCPMC12993372

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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.