Evidence map›Paper›PMID 37034029›Full record

ArticlePhysics and imaging in radiation oncology2023

Feasibility of online radial magnetic resonance imaging for adaptive radiotherapy of pancreatic tumors.

Guus Grimbergen, Hidde Eijkelenkamp, Jonna K van Vulpen, Saskia van de Ven, Bas W Raaymakers, Martijn P W Intven, Gert J Meijer

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Guus GrimbergenDepartment of Radiation Oncology, University Medical Center Utrecht, the Netherlands.
Hidde EijkelenkampDepartment of Radiation Oncology, University Medical Center Utrecht, the Netherlands.
Jonna K van VulpenDepartment of Radiation Oncology, University Medical Center Utrecht, the Netherlands.
Saskia van de VenDepartment of Radiation Oncology, University Medical Center Utrecht, the Netherlands.
Bas W RaaymakersDepartment of Radiation Oncology, University Medical Center Utrecht, the Netherlands.
Martijn P W IntvenDepartment of Radiation Oncology, University Medical Center Utrecht, the Netherlands.
Gert J MeijerDepartment of Radiation Oncology, University Medical Center Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Online adaptive magnetic resonance (MR)-guided treatment planning for pancreatic tumors on 1.5T systems typically employs Cartesian 3D Materials and methods: Twelve patients with pancreatic tumors were imaged with a 3D Results: The PROPELLER scans were selected as first preference in 56% of the cases, the 3D Conclusion: PROPELLER MRI may be a superior imaging sequence for pancreatic MRgRT compared to standard Cartesian sequences. The large interslice variation should be mitigated through further sequence optimization before PROPELLER can be adopted for online treatment adaptation.

Indexed as

MR-guided SBRTonline adaptive RTPancreatic cancerradial MRI

Identifiers

PMID37034029
PMCPMC10074242

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.