Evidence map›Paper›PMID 26838950›Full record

ReviewThe British journal of radiology2016

Magnetic resonance imaging in lung: a review of its potential for radiotherapy.

Shivani Kumar, Gary Liney, Robba Rai, Lois Holloway, Daniel Moses, Shalini K Vinod

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Correlation of KJournal for immunotherapy of cancer · 2024
    Article
  7. Biomarkers in idiopathic pulmonary fibrosis: Current insight and future direction.Chinese medical journal pulmonary and critical care medicine · 2024
    Article
  8. Review
  9. Metrics of dose to highly ventilated lung are predictive of radiation-induced pneumonitis in lung cancer patients.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Developments in radiation techniques for thoracic malignancies.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  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

6 authors.

Shivani Kumar1 South Western Clinical School, School of Medicine, University of New South Wales, Liverpool, NSW, Australia.ORCID http://orcid.org/0000-0002-5095-4289
Gary Liney1 South Western Clinical School, School of Medicine, University of New South Wales, Liverpool, NSW, Australia.
Robba Rai2 Liverpool and Macarthur Cancer Therapy Centres, Liverpool Hospital, Liverpool, NSW, Australia.
Lois Holloway1 South Western Clinical School, School of Medicine, University of New South Wales, Liverpool, NSW, Australia.
Daniel Moses1 South Western Clinical School, School of Medicine, University of New South Wales, Liverpool, NSW, Australia.
Shalini K Vinod1 South Western Clinical School, School of Medicine, University of New South Wales, Liverpool, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MRI has superior soft-tissue definition compared with existing imaging modalities in radiation oncology; this has the added benefit of functional as well as anatomical imaging. This review aimed to evaluate the current use of MRI for lung cancer and identify the potential of a MRI protocol for lung radiotherapy (RT). 30 relevant studies were identified. Improvements in MRI technology have overcome some of the initial limitations of utilizing MRI for lung imaging. A number of commercially available and novel sequences have shown image quality to be adequate for the detection of pulmonary nodules with the potential for tumour delineation. Quantifying tumour motion is also feasible and may be more representative than that seen on four-dimensional CT. Functional MRI sequences have shown correlation with flu-deoxy-glucose positron emission tomography (FDG-PET) in identifying malignant involvement and treatment response. MRI can also be used as a measure of pulmonary function. While there are some limitations for the adoption of MRI in RT-planning process for lung cancer, MRI has shown the potential to compete with both CT and PET for tumour delineation and motion definition, with the added benefit of functional information. MRI is well placed to become a significant imaging modality in RT for lung cancer.

Indexed as

Magnetic Resonance ImagingArtifactsContrast MediaHumansLung NeoplasmsMotionPositron-Emission TomographyContrast Media

Identifiers

PMID26838950
PMCPMC4846194

What OpenQuestion holds

Textmetadata
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.