Evidence map›Paper›PMID 32114268›Full record

ReviewRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2020

Quantitative imaging for radiotherapy purposes.

Oliver J Gurney-Champion, Faisal Mahmood, Marcel van Schie, Robert Julian, Ben George, Marielle E P Philippens, Uulke A van der Heide, Daniela Thorwarth, Kathrine R Redalen

Open access · hybridAbstract readReview
In one paragraph

Review in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
7.5field-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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Biologically Individualized Radiotherapy Based on PET: A Novel Approach to Treatment Optimization of Head and Neck Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A signal model for fat-suppressed TNMR in biomedicine · 2025
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac consortium image analysis working group.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023
    Article
  18. Review
  19. Review
  20. The relaxometry hype cycle.Frontiers in physiology · 2023
    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

9 authors at 8 institutions in 5 countries.

Oliver J Gurney-ChampionJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom. Electronic address: oliver.gurney.champion@icr.ac.uk.
Faisal MahmoodDepartment of Oncology, Odense University Hospital, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Marcel van SchieDepartment of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
Robert JulianDepartment of Radiotherapy Physics, Royal Surrey NHS Foundation Trust, Guildford, United Kingdom.
Ben GeorgeRadiation Therapy Medical Physics Group, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, United Kingdom.
Marielle E P PhilippensDepartment of Radiotherapy, University Medical Center Utrecht, The Netherlands.
Uulke A van der HeideDepartment of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
Daniela ThorwarthSection for Biomedical Physics, Department of Radiation Oncology, Eberhard Karls University of Tübingen, Germany.
Kathrine R RedalenDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
The Netherlands Cancer Institute · NLNorwegian University of Science and Technology · NORoyal Marsden NHS Foundation Trust · GBRoyal Surrey NHS Foundation Trust · GBUniversity Medical Center Utrecht · NLUniversity of Oxford · GBUniversity of Southern Denmark · DKUniversity of Tübingen · DE

Funding

Cancer Research UK C7224/A23275
6 · The paper itself

Abstract

Quantitative imaging biomarkers show great potential for use in radiotherapy. Quantitative images based on microscopic tissue properties and tissue function can be used to improve contouring of the radiotherapy targets. Furthermore, quantitative imaging biomarkers might be used to predict treatment response for several treatment regimens and hence be used as a tool for treatment stratification, either to determine which treatment modality is most promising or to determine patient-specific radiation dose. Finally, patient-specific radiation doses can be further tailored to a tissue/voxel specific radiation dose when quantitative imaging is used for dose painting. In this review, published standards, guidelines and recommendations on quantitative imaging assessment using CT, PET and MRI are discussed. Furthermore, critical issues regarding the use of quantitative imaging for radiation oncology purposes and resultant pending research topics are identified.

Indexed as

Positron-Emission TomographyRadiation OncologyHumansMagnetic Resonance ImagingRadiotherapy Planning, Computer-AssistedBiomarkersMultimodal imagingMultiparametric magnetic resonance imagingPositron-emission tomographyRadiotherapyReviewTumor

Identifiers

PMID32114268
PMCPMC7294225
OpenAlexW3006734558

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.