Evidence map›Paper›PMID 41953281›Full record

ArticlePhysics and imaging in radiation oncology2026

Magnetic resonance imaging thoracic organ-at-risk atlas for radiation oncology.

Hannah Bainbridge, Michael J Dubec, Andreas Wetscherek, Rob H N Tijssen, Jose Belderbos, Corine Van Es, David Cobben, Guido H W van Bogerijen, David Woolf, Marcel van Herk and 4 more

Abstract read
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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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Hannah BainbridgeDivision of Imaging and Radiotherapy, The Institute of Cancer Research, London, UK.
Michael J DubecDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, UK.
Andreas WetscherekJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Rob H N TijssenDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Jose BelderbosDepartment of Radiotherapy, The Netherlands Cancer Institute / Antoni van Leeuwenhoek, the Netherlands.
Corine Van EsDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
David CobbenDepartment of Radiotherapy, Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK.
Guido H W van BogerijenDepartment of Radiotherapy, The Netherlands Cancer Institute / Antoni van Leeuwenhoek, the Netherlands.
David WoolfDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, UK.
Marcel van HerkDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, UK.
Ferry LalezariDepartment of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek, Amsterdam, the Netherlands.
Dow-Mu KohDivision of Imaging and Radiotherapy, The Institute of Cancer Research, London, UK.
Fiona McDonaldDivision of Imaging and Radiotherapy, The Institute of Cancer Research, London, UK.
Corrine Faivre-FinnDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: The use of Magnetic Resonance imaging (MRI) for radiotherapy (RT) planning for locally advanced non-small cell lung cancer (LA NSCLC) could improve RT precision due to its superior soft tissue definition compared to computed tomography (CT). However, thoracic oncologists have limited experience of identifying thoracic structures on MRI. The aim of this study was to provide recommendations for MR sequences for thoracic organ at risk (OAR) contouring and present an atlas and descriptive instructions for delineation of thoracic OARs in the setting of MRI-guided radiation treatment planning and guidance. Materials and methods: MRI scans were acquired in nine patients with early-stage lung cancer on a diagnostic 1.5 Tesla system. MRI sequences included T Results: Thoracic MRI OAR contouring recommendations and atlas were developed by multi-institutional collaboration of six radiation oncologists and two MR radiologists. The atlas and contouring recommendations are described alongside high-resolution contoured MR images. Conclusions: This consensus MRI contouring atlas has a variety of potential applications, from integration of MRI within the standard CT-based workflow in order to improve the contouring accuracy of challenging structures such as the brachial plexus, to forming the foundation of an MRI-only workflow for use in MRI-guided treatment machines. This guideline should provide a useful reference for education and will facilitate uniformity in MRI-based contouring of OARs.

Indexed as

AtlasLung cancerOrgans at riskThoracic MRI

Identifiers

PMID41953281
PMCPMC13053797

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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.