Evidence map›Paper›PMID 29970314›Full record

ArticleInternational journal of radiation oncology, biology, physics2018

Model-Interpolated Gating for Magnetic Resonance Image-Guided Radiation Therapy.

John S Ginn, Dylan O'Connell, David H Thomas, Daniel A Low, James M Lamb

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2018. 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. Article
  2. Article
  3. Beyond T2 and 3T: New MRI techniques for clinicians.Clinical and translational radiation oncology · 2019
    Review
  4. 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

5 authors.

John S GinnDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California. Electronic address: jginn@mednet.ucla.edu.
Dylan O'ConnellDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
David H ThomasDepartment of Radiation Oncology, University of Colorado School of Medicine, University of Colorado, Aurora, Colorado.
Daniel A LowDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
James M LambDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.

Funding

Research Training in Biomedical PhysicsT32EB002101 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Michael F McNitt-Gray · 2003 to 2026
$5.3M
NIBIB NIH HHS T32 EB002101
6 · The paper itself

Abstract

purposeTo develop and validate a technique for radiation therapy gating using slow (≤1 frame per second) magnetic resonance imaging (MRI) and a motion model. Proposed uses of the technique include radiation therapy gating using T2-weighted images and conducting additional imaging studies during gated treatments. METHODS AND MATERIALS: The technique uses a physiologically guided breathing motion model to interpolate deformed target position between 2-dimensional (2D) MRI images acquired every 1 to 3 seconds. The model is parameterized by a 1-dimensional respiratory bellows surrogate and is continuously updated with the most recently acquired 2D images. A phantom and 8 volunteers were imaged with a 0.35T MRI-guided radiation therapy system. A balanced steady-state free precession sequence with a 2D frame rate of 3 frames per second was used to evaluate the technique. The accuracy and beam-on positive predictive value (PPV) of the model-based gating decisions were evaluated using the gating decisions derived from imaging as a ground truth. A T2-weighted gating offline proof-of-concept study using a half-Fourier, single-shot, turbo-spin echo sequence is reported.

resultsModel-interpolated gating accuracy, beam-on PPV, and median absolute distances between model and image-tracked target centroids were, on average, 98.3%, 98.4%, and 0.33 mm, respectively, in the balanced steady-state free precession phantom studies and 93.7%, 92.1%, and 0.86 mm, respectively, in the volunteer studies. T2 model-interpolated gating in 6 volunteers yielded an average accuracy and PPV of 94.3% and 92.5%, respectively, and the mean absolute median distance between modeled and imaged target centroids was 0.86 mm.

conclusionsThis work demonstrates the concept of model-interpolated gating for MRI-guided radiation therapy. The technique was found to be potentially sufficiently accurate for clinical use. Further development is needed to accommodate out-of-plane motion and the use of an internal MR-based respiratory surrogate.

Indexed as

HumansMagnetic Resonance ImagingMovementPhantoms, ImagingRadiotherapy, Image-GuidedRespiration

Identifiers

PMID29970314
PMCPMC6542358

What OpenQuestion holds

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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.