Evidence map›Paper›PMID 28987747›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2017

Treating locally advanced lung cancer with a 1.5T MR-Linac - Effects of the magnetic field and irradiation geometry on conventionally fractionated and isotoxic dose-escalated radiotherapy.

Hannah E Bainbridge, Martin J Menten, Martin F Fast, Simeon Nill, Uwe Oelfke, Fiona McDonald

Open access · bronzeAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
8.8field-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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Real-Time Dose-Guided Radiation Therapy.International journal of radiation oncology, biology, physics · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Patient expectation and experience of MR-guided radiotherapy using a 1.5T MR-Linac.Technical innovations & patient support in radiation oncology · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. MRI-Guided Radiation Therapy.Advances in oncology · 2021
    Article
  17. Article
  18. Article
  19. Review
  20. Evaluation of MRI-derived surrogate signals to model respiratory motion.Biomedical physics & engineering express · 2020
    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

6 authors at 2 institutions in 1 country.

Hannah E BainbridgeDepartment of Radiotherapy at The Royal Marsden NHS Foundation Trust, United Kingdom; The Institute of Cancer Research, United Kingdom. Electronic address: Hannah.bainbridge@icr.ac.uk.
Martin J MentenJoint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom. Electronic address: martin.menten@icr.ac.uk.
Martin F FastJoint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom.
Simeon NillJoint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom.
Uwe OelfkeJoint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom.
Fiona McDonaldDepartment of Radiotherapy at The Royal Marsden NHS Foundation Trust, United Kingdom; The Institute of Cancer Research, United Kingdom.
Royal Marsden NHS Foundation Trust · GBInstitute of Cancer Research · GB

Funding

Cancer Research UK 19727Cancer Research UK 19908Cancer Research UK C33489/A19908Cancer Research UK C33589/A19727Cancer Research UK C347/A18365
6 · The paper itself

Abstract

purposeThis study investigates the feasibility and potential benefits of radiotherapy with a 1.5T MR-Linac for locally advanced non-small cell lung cancer (LA NSCLC) patients. MATERIAL AND

methodsTen patients with LA NSCLC were retrospectively re-planned six times: three treatment plans were created according to a protocol for conventionally fractionated radiotherapy and three treatment plans following guidelines for isotoxic target dose escalation. In each case, two plans were designed for the MR-Linac, either with standard (∼7mm) or reduced (∼3mm) planning target volume (PTV) margins, while one conventional linac plan was created with standard margins. Treatment plan quality was evaluated using dose-volume metrics or by quantifying dose escalation potential.

resultsAll generated treatment plans fulfilled their respective planning constraints. For conventionally fractionated treatments, MR-Linac plans with standard margins had slightly increased skin dose when compared to conventional linac plans. Using reduced margins alleviated this issue and decreased exposure of several other organs-at-risk (OAR). Reduced margins also enabled increased isotoxic target dose escalation.

conclusionIt is feasible to generate treatment plans for LA NSCLC patients on a 1.5T MR-Linac. Margin reduction, facilitated by an envisioned MRI-guided workflow, enables increased OAR sparing and isotoxic target dose escalation for the respective treatment approaches.

Indexed as

Carcinoma, Non-Small-Cell LungDose-Response Relationship, RadiationHumansLung NeoplasmsMagnetic Resonance ImagingParticle AcceleratorsRadiotherapy, ConformalRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRetrospective StudiesDose-escalationLung cancerMRI-guided radiotherapyMR-Linac

Identifiers

PMID28987747
PMCPMC5710994
OpenAlexW2761071017

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.