Evidence map›Paper›PMID 33458346›Full record

ReviewPhysics and imaging in radiation oncology2020

Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation.

Daniela Thorwarth, Matthias Ege, Marcel Nachbar, David Mönnich, Cihan Gani, Daniel Zips, Simon Boeke

Open access · goldAbstract readReview
In one paragraph

Review in Physics and imaging in radiation oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
  2. Review
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  4. MR-linac: role of artificial intelligence and automation.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Review
  5. Magnetic resonance-guided adaptive stereotactic radiotherapy in prostate cancer patients: a systematic literature review.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Five years, 20 volumes and 300 publications ofPhysics and imaging in radiation oncology · 2022
    Article
  16. Review
  17. Review
  18. Article
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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

7 authors at 3 institutions in 1 country.

Daniela ThorwarthSection for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.
Matthias EgeSection for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.
Marcel NachbarSection for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.
David MönnichSection for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.
Cihan GaniDepartment for Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.
Daniel ZipsGerman Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Simon BoekeGerman Cancer Consortium (DKTK), Partner Site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DEUniversity Children's Hospital Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many preclinical and clinical observations support that functional magnetic resonance imaging (MRI), such as diffusion weighted (DW) and dynamic contrast enhanced (DCE) MRI, might have a predictive value for radiotherapy. The aim of this review was to assess the current status of quantitative MRI on hybrid MR-Linacs. In a literature research, four publications were identified, investigating technical feasibility, accuracy, repeatability and reproducibility of DW and DCE-MRI in phantoms and first patients. Accuracy and short term repeatability was < 5% for DW-MRI in current MR-Linac systems. Consequently, quantitative imaging providing accurate and reproducible functional information seems possible in MR-Linacs.

Indexed as

Diffusion-weighted MRIMR-guided radiotherapyMR-LinacQuantitative MRI

Identifiers

PMID33458346
PMCPMC7807787
OpenAlexW3092869946

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.