Evidence map›Paper›PMID 33718230›Full record

ReviewFrontiers in oncology2021

MR-Guided Adaptive Radiotherapy for Bladder Cancer.

Adham Hijab, Boris Tocco, Ian Hanson, Hanneke Meijer, Christina Junker Nyborg, Anders Smedegaard Bertelsen, Robert Jan Smeenk, Gillian Smith, Jeff Michalski, Brian C Baumann and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 47 citations in OpenAlex.

  1. Mapping Local Failure Following Bladder Radiotherapy According to Dose.Clinical oncology (Royal College of Radiologists (Great Britain)) · 2022
    Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Reduction of the planning target volume with daily online adaptive radiotherapy in bladder cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Article
  8. Article
  9. Magnetic Resonance Imaging Sequences and Technologies in Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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

11 authors at 5 institutions in 4 countries.

Adham HijabDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom.
Boris ToccoDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom.
Ian HansonDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom.
Hanneke MeijerDepartment of Radiation Oncology, Radboud University Medical Center, Nijmegen, Netherlands.
Christina Junker NyborgDepartment of Oncology, Odense University Hospital, Odense, Denmark.
Anders Smedegaard BertelsenLaboratory of Radiation Physics, Odense University Hospital, Odense, Denmark.
Robert Jan SmeenkDepartment of Radiation Oncology, Radboud University Medical Center, Nijmegen, Netherlands.
Gillian SmithDepartment of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom.
Jeff MichalskiDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Brian C BaumannDepartment of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Shaista HafeezDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom.
Royal Marsden NHS Foundation Trust · GBInstitute of Cancer Research · GBOdense University Hospital · DKRadboud University Nijmegen · NLWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy has an important role in the curative and palliative treatment settings for bladder cancer. As a target for radiotherapy the bladder presents a number of technical challenges. These include poor tumor visualization and the variability in bladder size and position both between and during treatment delivery. Evidence favors the use of magnetic resonance imaging (MRI) as an important means of tumor visualization and local staging. The availability of hybrid systems incorporating both MRI scanning capabilities with the linear accelerator (MR-Linac) offers opportunity for in-room and real-time MRI scanning with ability of plan adaption at each fraction while the patient is on the treatment couch. This has a number of potential advantages for bladder cancer patients. In this article, we examine the technical challenges of bladder radiotherapy and explore how magnetic resonance (MR) guided radiotherapy (MRgRT) could be leveraged with the aim of improving bladder cancer patient outcomes. However, before routine clinical implementation robust evidence base to establish whether MRgRT translates into improved patient outcomes should be ascertained.

Indexed as

adaptive radiotherapybladder cancerMR guided radiotherapyMRIMR-linac

Identifiers

PMID33718230
PMCPMC7947660
OpenAlexW4211061889

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.