Evidence map›Paper›PMID 27488508›Full record

ArticlePediatric radiology2016

Evaluation of motion and its effect on brain magnetic resonance image quality in children.

Onur Afacan, Burak Erem, Diona P Roby, Noam Roth, Amir Roth, Sanjay P Prabhu, Simon K Warfield

Abstract read
In one paragraph

Article in Pediatric radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Applications of elastography in operative neurosurgery: A systematic review.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022
    Pooled it
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  13. Deep infant brain segmentation from multi-contrast MRI.Conference record. Asilomar Conference on Signals, Systems & Computers · 2025
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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.

Onur AfacanDepartment of Radiology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Ave., WB215, Boston, MA, 02115, USA. onur.afacan@childrens.harvard.edu.ORCID http://orcid.org/0000-0003-2112-3205
Burak EremDepartment of Radiology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Ave., WB215, Boston, MA, 02115, USA.
Diona P RobyDepartment of Radiology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Ave., WB215, Boston, MA, 02115, USA.
Noam RothRobin Medical Inc., Baltimore, MD, USA.
Amir RothRobin Medical Inc., Baltimore, MD, USA.
Sanjay P PrabhuDepartment of Radiology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Ave., WB215, Boston, MA, 02115, USA.
Simon K WarfieldDepartment of Radiology, Boston Children's Hospital and Harvard Medical School, 300 Longwood Ave., WB215, Boston, MA, 02115, USA.

Funding

Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
Prospective/Retrospective Motion Correction System for Motion Robust Pediatric MRIR44MH086984 · NIMH · ROBIN MEDICAL, INC. · PI NEVO, EREZ, WARFIELD, SIMON K · 2016 to 2018
$2.4M
Prospective/Retrospective Motion Correction System for Motion Robust Pediatric MRR42MH086984 · NIMH · ROBIN MEDICAL, INC. · PI NEVO, EREZ, WARFIELD, SIMON K · 2012 to 2014
$1.8M
Motion-robust super-resolution diffusion weighted MRI of early brain developmentR01EB018988 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI GHOLIPOUR-BABOLI, ALI · 2014 to 2017
$1.6M
Improved Quantitative Assessment of the Fetal Brain from 3D Volumetric MRIR01EB013248 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2012 to 2015
$1.5M
NIBIB NIH HHS R01 EB013248NIBIB NIH HHS R01 EB018988NIBIB NIH HHS R01 EB019483NIMH NIH HHS R42 MH086984NIMH NIH HHS R44 MH086984
6 · The paper itself

Abstract

backgroundMotion artifacts pose significant problems for the acquisition of MR images in pediatric populations.

objectiveTo evaluate temporal motion metrics in MRI scanners and their effect on image quality in pediatric populations in neuroimaging studies. MATERIALS AND

methodsWe report results from a large pediatric brain imaging study that shows the effect of motion on MRI quality. We measured motion metrics in 82 pediatric patients, mean age 13.4 years, in a T1-weighted brain MRI scan. As a result of technical difficulties, 5 scans were not included in the subsequent analyses. A radiologist graded the images using a 4-point scale ranging from clinically non-diagnostic because of motion artifacts to no motion artifacts. We used these grades to correlate motion parameters such as maximum motion, mean displacement from a reference point, and motion-free time with image quality.

resultsOur results show that both motion-free time (as a ratio of total scan time) and average displacement from a position at a fixed time (when the center of k-space was acquired) were highly correlated with image quality, whereas maximum displacement was not as good a predictor. Among the 77 patients whose motion was measured successfully, 17 had average displacements of greater than 0.5 mm, and 11 of those (14.3%) resulted in non-diagnostic images. Similarly, 14 patients (18.2%) had less than 90% motion-free time, which also resulted in non-diagnostic images.

conclusionWe report results from a large pediatric study to show how children and young adults move in the MRI scanner and the effect that this motion has on image quality. The results will help the motion-correction community in better understanding motion patterns in pediatric populations and how these patterns affect MR image quality.

Indexed as

AdolescentAdultBrainChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleMotionRetrospective StudiesYoung AdultArtifactsBrainChildrenMagnetic resonance imagingMotionMotion measurements

Identifiers

PMID27488508
PMCPMC5083190

What OpenQuestion holds

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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.