Evidence map›Paper›PMID 37245075›Full record

ArticleMedical physics2023

Joint radial trajectory correction for accelerated T

Wajiha Bano, Will Holmes, Rosie Goodburn, Mohammad Golbabaee, Amit Gupta, Sam Withey, Alison Tree, Uwe Oelfke, Andreas Wetscherek

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Wajiha BanoJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Will HolmesJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Rosie GoodburnJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Mohammad GolbabaeeDepartment of Engineering Mathematics, University of Bristol, Bristol, UK.
Amit GuptaThe Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK.
Sam WitheyThe Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK.
Alison TreeThe Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, UK.
Uwe OelfkeJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Andreas WetscherekJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.

Funding

Cancer Research UK 28284Cancer Research UK C33589/A28284Cancer Research UK C7224/A28724
6 · The paper itself

Abstract

backgroundT PURPOSE: The purpose of this work is to demonstrate the feasibility of the accelerated T MATERIALS AND

methodsThe proposed method was validated in a numerical phantom, where two T

resultsNumerical simulations demonstrated that, for all noise levels, T

conclusionUsing the proposed approach, a retrospective data-driven gradient delay correction can be performed, which is particularly relevant for hybrid devices, where full information on the machine configuration is not available for image reconstruction. T

Indexed as

Head and Neck NeoplasmsMagnetic Resonance ImagingHumansImage Processing, Computer-AssistedMaleParticle AcceleratorsPhantoms, ImagingRetrospective Studiesgradient delay correctionhypoxia imagingMR-LinacT2* mapping

Identifiers

PMID37245075
PMCPMC10946747

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Registered trials

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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.