Evidence map›Paper›PMID 36713071›Full record

ArticlePhysics and imaging in radiation oncology2023

Rapid distortion correction enables accurate magnetic resonance imaging-guided real-time adaptive radiotherapy.

Paul Z Y Liu, Shanshan Shan, David Waddington, Brendan Whelan, Bin Dong, Gary Liney, Paul Keall

Abstract read
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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
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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.

Paul Z Y LiuImage X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia.
Shanshan ShanImage X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia.
David WaddingtonImage X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia.
Brendan WhelanImage X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia.
Bin DongDepartment of Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia.
Gary LineyDepartment of Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia.
Paul KeallImage X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Magnetic resonance imaging (MRI)-Linac systems combine simultaneous MRI with radiation delivery, allowing treatments to be guided by anatomically detailed, real-time images. However, MRI can be degraded by geometric distortions that cause uncertainty between imaged and actual anatomy. In this work, we develop and integrate a real-time distortion correction method that enables accurate real-time adaptive radiotherapy. Materials and methods: The method was based on the pre-treatment calculation of distortion and the rapid correction of intrafraction images. A motion phantom was set up in an MRI-Linac at isocentre ( Results: Without distortion correction, the mean geometric tracking error was 1.3 mm at Conclusions: We have demonstrated a real-time distortion correction method that maintains accurate radiation delivery to the target, even at treatment locations with large distortion.

Indexed as

DSV, diameter of spherical volumeEPID, electronic portal imaging deviceGNL, gradient non-linearityMLC, multi-leaf collimatorMLC trackingMRI distortionMRI-LinacMRI, magnetic resonance imagingReal-time adaptive radiotherapyRMSE, root-mean-square error

Identifiers

PMID36713071
PMCPMC9880240

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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.