Evidence map›Paper›PMID 29721599›Full record

ArticlePediatric radiology2018

Optimization of magnetization-prepared rapid gradient echo (MP-RAGE) sequence for neonatal brain MRI.

Lili He, Jinghua Wang, Zhong-Lin Lu, Beth M Kline-Fath, Nehal A Parikh

Abstract read
In one paragraph

Article in Pediatric radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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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.

Lili HePerinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 7009, Cincinnati, OH, 45229, USA. lili.he@cchmc.org.
Jinghua WangDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Zhong-Lin LuCenter for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA.
Beth M Kline-FathDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Nehal A ParikhPerinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 7009, Cincinnati, OH, 45229, USA.

Funding

A New Model to Identify Preterm Neonates at High-Risk for Cognitive Impairments and School ReadinessR01NS094200 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI NEHAL A. PARIKH · 2016 to 2026
$6.7M
Early Prediction of Cerebral Palsy in Premature Infants using Advanced MRI BiomarkersR01NS096037 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI PARIKH, NEHAL A. · 2016 to 2020
$2.2M
NINDS NIH HHS R01 NS094200NINDS NIH HHS R01-NS094200NINDS NIH HHS R01 NS096037NINDS NIH HHS R01-NS096037
6 · The paper itself

Abstract

backgroundSequence optimization in neonates might improve detection sensitivity of abnormalities for a variety of conditions. However this has been historically challenging because tissue properties such as the longitudinal relaxation time and proton density differ significantly between neonates and adults.

objectiveTo optimize the magnetization-prepared rapid gradient echo (MP-RAGE) sequence to enhance both signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) efficiencies. MATERIALS AND

methodsWe optimized neonatal MP-RAGE sequence through (1) reducing receive bandwidth to decrease noise, (2) shortening acquisition train length (acquisition number per repetition time or total number of read-out radiofrequency rephrasing pulses) using slice partial Fourier acquisition and (3) simulating the solution of Bloch's equation under optimal receive bandwidth and acquisition train length. Using the optimized sequence parameters, we scanned 12 healthy full-term infants within 2 weeks of birth and four preterm infants at 40 weeks' corrected age.

resultsCompared with a previously published neonatal protocol, we were able to reduce the total scan time by reduce the total scan time by 60% and increase the average SNR efficiency by 160% (P<0.001) and the average CNR efficiency by 26% (P=0.029).

conclusionOur in vivo neonatal brain imaging experiments confirmed that both SNR and CNR efficiencies significantly increased with our proposed protocol. Our proposed optimization methodology could be readily extended to other populations (e.g., older children, adults), as well as different organ systems, field strengths and MR sequences.

Indexed as

BrainComputer SimulationFemaleHumansImage EnhancementImage Processing, Computer-AssistedImaging, Three-DimensionalInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleSensitivity and SpecificitySignal-To-Noise RatioTime FactorsAcquisition train lengthBrainK-spaceMagnetic resonance imagingMagnetization-prepared rapid gradient echo sequenceNeonatesOptimization

Identifiers

PMID29721599
PMCPMC6148771

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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.