Evidence map›Paper›PMID 40700595›Full record

ArticleThe British journal of radiology2025

Simulation-free radiotherapy on the MR-linac in prostate cancer.

Sian Cooper, Joan Chick, Francis Casey, Sophie Alexander, Simeon Nill, Uwe Oelfke, Alison Tree, Alex Dunlop

Abstract read
In one paragraph

Article in The British journal of radiology, 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

8 authors.

Sian CooperThe Institute of Cancer Research, London, SM2 5NG, United Kingdom.ORCID 0009-0001-1016-9841
Joan ChickThe Joint Department of Physics, The Royal Marsden Hospital and the Institute of Cancer Research, London, SM2 5PT, United Kingdom.
Francis CaseyThe Joint Department of Physics, The Royal Marsden Hospital and the Institute of Cancer Research, London, SM2 5PT, United Kingdom.
Sophie AlexanderThe Institute of Cancer Research, London, SM2 5NG, United Kingdom.
Simeon NillThe Joint Department of Physics, The Royal Marsden Hospital and the Institute of Cancer Research, London, SM2 5PT, United Kingdom.
Uwe OelfkeThe Joint Department of Physics, The Royal Marsden Hospital and the Institute of Cancer Research, London, SM2 5PT, United Kingdom.
Alison TreeThe Institute of Cancer Research, London, SM2 5NG, United Kingdom.
Alex DunlopThe Joint Department of Physics, The Royal Marsden Hospital and the Institute of Cancer Research, London, SM2 5PT, United Kingdom.

Funding

National Institute of Health Research NIHR206522
6 · The paper itself

Abstract

objectivesThe radiotherapy (RT) pathway faces bottlenecks. The Rapid Adaptive and Cost-Effective Radiotherapy (RACE) study evaluates the feasibility of using diagnostic MRI (dMRI) scans for planning prostate MRI-guided adaptive RT (MRIgART).

methodsWe audited prostate cancer patients treated with 5-fraction (#) stereotactic body radiotherapy (SBRT) between March 2023 and January 2024, assessing dMRI for RT planning suitability. Planning suitability required a T2-weighted sequence for target/organs at risk (OAR) delineation and a large field-of-view (LFOV). Scans were classified as RT plan suitable or as having specific issues (incomplete body coverage or slice thickness >10 mm). Workflow analysis from RT referral to first fraction estimated potential time savings with simulation-free RT (SFRT). Case studies illustrated identified issues and proposed solutions.

resultsdMRIs were available for 93% of patients, with scans originating from various hospitals and conducted on 1.5 Tesla (T) or 3 T MRI scanners. Ideal image characteristics for RT planning were met in 38% of MRIs. Issues such as cropped field of view (FOV) and low slice resolution were identified, but proposed solutions could increase the number of patients with suitable scans to 87%.

conclusionsThe findings suggest that with appropriate technical solutions, most dMRI scans can be adapted for RT planning purposes. ADVANCES IN KNOWLEDGE: The study highlights the potential of SFRT to reduce treatment delays and improve cost-effectiveness.

Indexed as

Magnetic Resonance ImagingProstatic NeoplasmsRadiosurgeryRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedAgedFeasibility StudiesHumansMaleOrgans at RiskParticle AcceleratorsWorkflowMRLMR-LinacprostateSFRsimulation-freesimulation free radiotherapyUnity

Identifiers

PMID40700595
PMCPMC12515036

What OpenQuestion holds

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LicenceCC BY
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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.