Evidence map›Paper›PMID 41908729›Full record

ArticlePhysics and imaging in radiation oncology2026

Recommendations for contouring of gross tumour volume for locally advanced lung cancer using magnetic resonance imaging.

Anna-Maria Shiarli, Michael J Dubec, Merina Ahmed, Jon T Asmussen, Hannah Bainbridge, José S Belderbos, Sean Brown, Johan Bussink, David Cobben, Bram H J Geurts and 25 more

Abstract read
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. 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

35 authors.

Anna-Maria ShiarliThe Institute of Cancer Research, London, UK.
Michael J DubecDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Merina AhmedThe Royal Marsden NHS Foundation Trust, London, UK.
Jon T AsmussenDepartment of Radiology Odense University Hospital, Odense, Denmark.
Hannah BainbridgeThe Institute of Cancer Research, London, UK.
José S BelderbosDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Sean BrownDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Johan BussinkRadboud University Medical Centre, Nijmegen, the Netherlands.
David CobbenDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Bram H J GeurtsRadboud University Medical Centre, Nijmegen, the Netherlands.
Andrew HopeRadiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
John KavanaghCardiothoracic Imaging, Toronto Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
Dow-Mu KohThe Institute of Cancer Research, London, UK.
Ferry LalezariDepartment of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek, Amsterdam, the Netherlands.
Alexander V LouieDepartment of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada.
Laura G MerckelDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Firdaus A M HoeseinDepartment of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
James P B O'ConnorThe Institute of Cancer Research, London, UK.
Rocio Perez-JohnstonMemorial Sloan Kettering Cancer Center, New York, United States.
Tyson J ReeveQueensland XRay, Townsville, Queensland, Australia.
Andreas RimnerDepartment of Oncology, Odense University Hospital, Odense, Denmark.
Peter S N van RossumDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Dominic A X SchinaglRadiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Tine SchytteDepartment of Oncology, Odense University Hospital, Odense, Denmark.
Craig StevensDepartment of Radiation Oncology, Beaumont Health, MI, United States.
Alex TanSunshine Coast University Hospital, Queensland, Australia.
Rob H N TijssenDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Nina TunariuThe Institute of Cancer Research, London, UK.
Marcel Van HerkDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Joost J C VerhoeffDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Andreas WetscherekJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Rianne WittenbergDepartment of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek, Amsterdam, the Netherlands.
David WoolfDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Corinne Faivre-FinnDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Fiona McDonaldThe Institute of Cancer Research, London, UK.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Background and purpose: The use of Magnetic Resonance imaging (MRI) for radiotherapy planning and guidance for locally advanced non-small cell lung cancer (LA NSCLC) is novel. The superior soft tissue definition of MRI compared to CT, may facilitate more accurate gross tumour volume (GTV) definition, with the goal of improving radiotherapy precision. This work aims to develop GTV contouring recommendations for NSCLC on MRI. Materials and methods: Two international training workshops on GTV delineation for LA NSCLC were attended by thoracic radiation oncologists and MR radiologists. Thoracic radiation oncology experts contoured nine cases of LA NSCLC, firstly, on mid-position 4D-CT with PET-CT guidance, and secondly on non-contrast MRI, registered with the CT and PET-CT. Consensus contours generated on CT and MRI were discussed and finalised during two international meetings. Results: Recommendations on GTV delineation for LA NSCLC for both the primary tumour and individual lymph node stations using thoracic MRI were produced and are provided in this document. Consensus contours generated on CT and MRI for specific clinical scenarios were demonstrated and challenges addressed. Conclusions: We provide the first set of consensus recommendations on GTV contouring on MRI for LA NSCLC through an international collaborative process between international experts in thoracic radiation oncology and MR radiology. This work provides an initial step towards standardisation of lung GTV delineation on MRI, which is necessary prior to any meaningful assessment of the benefits of MRI in GTV definition compared to current practice.

Indexed as

Lung cancerRadiotherapyThoracic MRI

Identifiers

PMID41908729
PMCPMC13019103

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.