Evidence map›Paper›PMID 36128894›Full record

ReviewMagnetic resonance in medicine2022

The future of MRI in radiation therapy: Challenges and opportunities for the MR community.

Rosie J Goodburn, Marielle E P Philippens, Thierry L Lefebvre, Aly Khalifa, Tom Bruijnen, Joshua N Freedman, David E J Waddington, Eyesha Younus, Eric Aliotta, Gabriele Meliadò and 10 more

Abstract readReview
In one paragraph

Review in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. A universal medical imaging modality translation model in brain and head-and-neck radiotherapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2026
    Article
  9. Review
  10. Review
  11. Magnetic Resonance Imaging Sequences and Technologies in Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2025
    Review
  12. Article
  13. Tumor Hypoxia: Long Ignored but Now Detectable and Potentially Actionable.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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  20. 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

20 authors.

Rosie J GoodburnJoint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.ORCID 0000-0001-5109-4738
Marielle E P PhilippensDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0003-0205-3459
Thierry L LefebvreDepartment of Physics, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-0988-4848
Aly KhalifaDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-1487-648X
Tom BruijnenDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0002-1233-1320
Joshua N FreedmanElekta Limited, Crawley, United Kingdom.ORCID 0000-0003-4085-1961
David E J WaddingtonFaculty of Medicine and Health, Sydney School of Health Sciences, ACRF Image X Institute, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-7017-1556
Eyesha YounusDepartment of Medical Physics, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.ORCID 0000-0002-1486-9036
Eric AliottaDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-7666-0254
Gabriele MeliadòUnità Operativa Complessa di Fisica Sanitaria, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.ORCID 0000-0001-8681-0677
Teo StanescuDepartment of Radiation Oncology, University of Toronto and Medical Physics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-2314-7884
Wajiha BanoJoint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.ORCID 0000-0002-0602-5116
Ali Fatemi-ArdekaniDepartment of Physics, Jackson State University (JSU), Jackson, Mississippi, USA.ORCID 0000-0003-2311-7685
Andreas WetscherekJoint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.ORCID 0000-0003-4799-2193
Uwe OelfkeJoint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.ORCID 0000-0003-2309-0814
Nico van den BergDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0002-5565-6889
Ralph P MasonDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-7517-3721
Petra J van HoudtDepartment of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands.ORCID 0000-0001-7431-8386
James M BalterDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Oliver J Gurney-ChampionImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-1750-6617

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
Cancer Research UK 28284Cancer Research UK 28870Cancer Research UK C33589/A28284NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA142543
6 · The paper itself

Abstract

Radiation therapy is a major component of cancer treatment pathways worldwide. The main aim of this treatment is to achieve tumor control through the delivery of ionizing radiation while preserving healthy tissues for minimal radiation toxicity. Because radiation therapy relies on accurate localization of the target and surrounding tissues, imaging plays a crucial role throughout the treatment chain. In the treatment planning phase, radiological images are essential for defining target volumes and organs-at-risk, as well as providing elemental composition (e.g., electron density) information for radiation dose calculations. At treatment, onboard imaging informs patient setup and could be used to guide radiation dose placement for sites affected by motion. Imaging is also an important tool for treatment response assessment and treatment plan adaptation. MRI, with its excellent soft tissue contrast and capacity to probe functional tissue properties, holds great untapped potential for transforming treatment paradigms in radiation therapy. The MR in Radiation Therapy ISMRM Study Group was established to provide a forum within the MR community to discuss the unmet needs and fuel opportunities for further advancement of MRI for radiation therapy applications. During the summer of 2021, the study group organized its first virtual workshop, attended by a diverse international group of clinicians, scientists, and clinical physicists, to explore our predictions for the future of MRI in radiation therapy for the next 25 years. This article reviews the main findings from the event and considers the opportunities and challenges of reaching our vision for the future in this expanding field.

Indexed as

NeoplasmsRadiotherapy Planning, Computer-AssistedHumansMagnetic Resonance ImagingMotionfutureISMRM workshopMRradiation therapy

Identifiers

PMID36128894
PMCPMC9529952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.