Literature DB >> 34146712

Accessible pediatric neuroimaging using a low field strength MRI scanner.

Sean C L Deoni1, Muriel M K Bruchhage2, Jennifer Beauchemin3, Alexandra Volpe3, Viren D'Sa4, Matthew Huentelman5, Steven C R Williams6.   

Abstract

Magnetic resonance imaging (MRI) has played an increasingly relevant role in understanding infant, child, and adolescent neurodevelopment, providing new insight into developmental patterns in neurotypical development, as well as those associated with potential psychopathology, learning disorders, and other neurological conditions. In addition, studies have shown the impact of a child's physical and psychosocial environment on developing brain structure and function. A rate-limiting complication in these studies, however, is the high cost and infrastructural requirements of modern MRI systems. High costs mean many neuroimaging studies typically include fewer than 100 individuals and are performed predominately in high resource hospitals and university settings within high income countries (HICs). As a result, our knowledge of brain development, particularly in children who live in lower and middle income countries (LMICs) is relatively limited. Low field systems, with magnetic fields less than 100mT offer the promise of lower scanning costs and wide-spread global adoption, but routine low field pediatric neuroimaging has yet to be demonstrated. Here we present the first pediatric MRI data collected on a low cost and assessable 64mT scanner in children 6 weeks to 16 years of age and replicate brain volumes estimates and developmental trajectories derived from 3T MRI data. While preliminary, these results illustrate the potential of low field imaging as a viable complement to more conventional high field imaging systems, and one that may further enhance our knowledge of neurodevelopment in LMICs where malnutrition, psychosocial adversities, and other environmental exposures may profoundly affect brain maturation.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Child brain development; Low field MRI; Magnetic resonance imaging; Pediatric neuroimaging

Year:  2021        PMID: 34146712     DOI: 10.1016/j.neuroimage.2021.118273

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Implementation of a Low-Field Portable MRI Scanner in a Resource-Constrained Environment: Our Experience in Malawi.

Authors:  K Chetcuti; C Chilingulo; M S Goyal; L Vidal; N F O'Brien; D G Postels; K B Seydel; T E Taylor
Journal:  AJNR Am J Neuroradiol       Date:  2022-04-21       Impact factor: 3.825

2.  What is next in African neuroscience?

Authors:  Kirsten A Donald; Mahmoud Maina; Nilesh Patel; Carine Nguemeni; Wael Mohammed; Amina Abubakar; Matthew Brown; Raliza Stoyanova; Andrew Welchman; Natasha Walker; Alexis Willett; Symon M Kariuki; Anthony Figaji; Dan J Stein; Amadi O Ihunwo; William Daniels; Charles R Newton
Journal:  Elife       Date:  2022-06-22       Impact factor: 8.713

3.  Simulated diagnostic performance of low-field MRI: Harnessing open-access datasets to evaluate novel devices.

Authors:  T Campbell Arnold; Steven N Baldassano; Brian Litt; Joel M Stein
Journal:  Magn Reson Imaging       Date:  2021-12-28       Impact factor: 3.130

4.  Development of a mobile low-field MRI scanner.

Authors:  Sean C L Deoni; Paul Medeiros; Alexandra T Deoni; Phoebe Burton; Jennifer Beauchemin; Viren D'Sa; Eddy Boskamp; Samantha By; Chris McNulty; William Mileski; Brian E Welch; Matthew Huentelman
Journal:  Sci Rep       Date:  2022-04-05       Impact factor: 4.379

5.  Simultaneous high-resolution T2 -weighted imaging and quantitative T2 mapping at low magnetic field strengths using a multiple TE and multi-orientation acquisition approach.

Authors:  Sean C L Deoni; Jonathan O'Muircheartaigh; Emil Ljungberg; Mathew Huentelman; Steven C R Williams
Journal:  Magn Reson Med       Date:  2022-05-12       Impact factor: 3.737

6.  Sensitivity of portable low-field magnetic resonance imaging for multiple sclerosis lesions.

Authors:  T Campbell Arnold; Danni Tu; Serhat V Okar; Govind Nair; Samantha By; Karan D Kawatra; Timothy E Robert-Fitzgerald; Lisa M Desiderio; Matthew K Schindler; Russell T Shinohara; Daniel S Reich; Joel M Stein
Journal:  Neuroimage Clin       Date:  2022-06-27       Impact factor: 4.891

  6 in total

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