Evidence map›Paper›PMID 30844775›Full record

ArticlePhysics in medicine and biology2019

Synthetic 4D-CT of the thorax for treatment plan adaptation on MR-guided radiotherapy systems.

Joshua N Freedman, Hannah E Bainbridge, Simeon Nill, David J Collins, Marc Kachelrieß, Martin O Leach, Fiona McDonald, Uwe Oelfke, Andreas Wetscherek

Open access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023
    Article
  5. Review
  6. Article
  7. Rapid 4D-MRI reconstruction using a deep radial convolutional neural network: Dracula.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
    Article
  8. Review
  9. 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 2 institutions in 3 countries.

Joshua N FreedmanJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom. CR UK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom.
Hannah E Bainbridge
Simeon Nill
David J Collins
Marc Kachelrieß
Martin O Leach
Fiona McDonald
Uwe Oelfke
Andreas Wetscherek
Royal Marsden NHS Foundation Trust · GBGerman Cancer Research Center · DE

Funding

Cancer Research UK 16464Cancer Research UK 19727Cancer Research UK 19908Cancer Research UK C1060/A16464Cancer Research UK C309/A20926Cancer Research UK C33589/A19727Cancer Research UK C347/A18365Cancer Research UK C7224/A23275Department of Health
6 · The paper itself

Abstract

MR-guided radiotherapy treatment planning utilises the high soft-tissue contrast of MRI to reduce uncertainty in delineation of the target and organs at risk. Replacing 4D-CT with MRI-derived synthetic 4D-CT would support treatment plan adaptation on hybrid MR-guided radiotherapy systems for inter- and intrafractional differences in anatomy and respiration, whilst mitigating the risk of CT to MRI registration errors. Three methods were devised to calculate synthetic 4D and midposition (time-weighted mean position of the respiratory cycle) CT from 4D-T1w and Dixon MRI. The first approach employed intensity-based segmentation of Dixon MRI for bulk-density assignment (sCT

Indexed as

AlgorithmsCarcinoma, Non-Small-Cell LungFour-Dimensional Computed TomographyHumansLung NeoplasmsMagnetic Resonance ImagingMovementRadiography, ThoracicRadiosurgeryRadiotherapy DosageRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedRespiration

Identifiers

PMID30844775
PMCPMC8208601
OpenAlexW2921152759

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.