Evidence map›Paper›PMID 26493684›Full record

ArticleMagnetic resonance in medicine2016

An MRI-compatible platform for one-dimensional motion management studies in MRI.

Joris Nofiele, Qing Yuan, Mohammad Kazem, Ken Tatebe, Quinn Torres, Amit Sawant, Ivan Pedrosa, Rajiv Chopra

Abstract readEvaluation Study
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Breath-hold MR-HIFU hyperthermia: phantom andInternational journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2019
    Article
  6. Article
  7. 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

8 authors.

Joris NofieleDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Qing YuanDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Mohammad KazemSunnybrook Research Institute, Toronto, Ontario, Canada.
Ken TatebeDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Quinn TorresDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Amit SawantDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ivan PedrosaDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Rajiv ChopraDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

NON-INVASIVE PHYSIOLOGIC PREDICTORS OF AGGRESSIVENESS IN RENAL CELL CARCINOMAR01CA154475 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI PEDROSA, IVAN · 2011 to 2024
$4.3M
NCI NIH HHS R01 CA154475
6 · The paper itself

Abstract

purposeAbdominal MRI remains challenging because of respiratory motion. Motion compensation strategies are difficult to compare clinically because of the variability across human subjects. The goal of this study was to evaluate a programmable system for one-dimensional motion management MRI research.

methodsA system comprised of a programmable motorized linear stage and computer was assembled and tested in the MRI environment. Tests of the mutual interference between the platform and a whole-body MRI were performed. Organ trajectories generated from a high-temporal resolution scan of a healthy volunteer were used in phantom tests to evaluate the effects of motion on image quality and quantitative MRI measurements.

resultsNo interference between the motion platform and the MRI was observed, and reliable motion could be produced across a wide range of imaging conditions. Motion-related artifacts commensurate with motion amplitude, frequency, and waveform were observed. T2 measurement of a kidney lesion in an abdominal phantom showed that its value decreased by 67% with physiologic motion, but could be partially recovered with navigator-based motion-compensation.

conclusionThe motion platform can produce reliable linear motion within a whole-body MRI. The system can serve as a foundation for a research platform to investigate and develop motion management approaches for MRI. Magn Reson Med 76:702-712, 2016. © 2015 Wiley Periodicals, Inc.

Indexed as

ArtifactsBedsMotionMovementEquipment DesignEquipment Failure AnalysisImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPatient PositioningReproducibility of ResultsSensitivity and Specificityabdominal MRIbreathingmotionrespiratory motionT2

Identifiers

PMID26493684
PMCPMC6342555

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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.