Literature DB >> 32827173

Low-Field MRI of Stroke: Challenges and Opportunities.

Seema S Bhat1, Tiago T Fernandes2, Pavan Poojar1,3, Marta da Silva Ferreira2, Padma Chennagiri Rao1, Madigondanahalli Chikkamaraiah Hanumantharaju4, Godwin Ogbole5, Rita G Nunes2, Sairam Geethanath1,3.   

Abstract

Stroke is a leading cause of death and disability worldwide. The reasons for increased stroke burden in developing countries are inadequately controlled risk factors resulting from poor public awareness and inadequate infrastructure. Computed tomography and MRI are common neuroimaging modalities used to assess stroke with diffusion-weighted MRI, in particular, being the recommended choice for acute stroke imaging. However, access to these imaging modalities is primarily restricted to major cities and high-income groups. In the case of stroke, the time-window of treatment to limit the damage is of a few hours and needs a point-of-care diagnosis. A low-cost MR system typically achieved at the ultra-low- and very-low-field would meet the need for a geographically accessible and portable solution. We review studies focused on accessible stroke imaging and recent developments in MR methodologies, including hardware, to image at low fields. We hypothesize that in the absence of a formal, rapid stroke triaging system, the value of timely on-site delivery of the scanner to the stroke patient can be significant. To this end, we discuss multiple recent hardware and methods developments in the low-field regime. Our review suggests a compelling need to explore further the trade-offs between high signal, contrast, and accessibility at low fields in low-income communities. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 6.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MR accessibility; accessible stroke MRI; diffusion imaging at low-fields; machine learning; mobile stroke unit; open-source imaging

Year:  2020        PMID: 32827173     DOI: 10.1002/jmri.27324

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Amphiphilic DTPA Multimer Assembled on Icosahedral Closo-Borane Motif as High-Performance MRI Blood Pool Contrast Agent.

Authors:  Lalit N Goswami; Shatadru Chakravarty; Quan-Yu Cai; Erik M Shapiro; M Frederick Hawthorne; Lixin Ma
Journal:  ACS Appl Bio Mater       Date:  2021-08-25

2.  Potential of Stroke Imaging Using a New Prototype of Low-Field MRI: A Prospective Direct 0.55 T/1.5 T Scanner Comparison.

Authors:  Thilo Rusche; Hanns-Christian Breit; Michael Bach; Jakob Wasserthal; Julian Gehweiler; Sebastian Manneck; Johanna Maria Lieb; Gian Marco De Marchis; Marios Nikos Psychogios; Peter B Sporns
Journal:  J Clin Med       Date:  2022-05-16       Impact factor: 4.964

3.  Portable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage.

Authors:  Mercy H Mazurek; Bradley A Cahn; Matthew M Yuen; Anjali M Prabhat; Isha R Chavva; Jill T Shah; Anna L Crawford; E Brian Welch; Jonathan Rothberg; Laura Sacolick; Michael Poole; Charles Wira; Charles C Matouk; Adrienne Ward; Nona Timario; Audrey Leasure; Rachel Beekman; Teng J Peng; Jens Witsch; Joseph P Antonios; Guido J Falcone; Kevin T Gobeske; Nils Petersen; Joseph Schindler; Lauren Sansing; Emily J Gilmore; David Y Hwang; Jennifer A Kim; Ajay Malhotra; Gordon Sze; Matthew S Rosen; W Taylor Kimberly; Kevin N Sheth
Journal:  Nat Commun       Date:  2021-08-25       Impact factor: 14.919

4.  Bedside detection of intracranial midline shift using portable magnetic resonance imaging.

Authors:  Kevin N Sheth; Matthew M Yuen; Mercy H Mazurek; Bradley A Cahn; Anjali M Prabhat; Sadegh Salehi; Jill T Shah; Samantha By; E Brian Welch; Michal Sofka; Laura I Sacolick; Jennifer A Kim; Seyedmehdi Payabvash; Guido J Falcone; Emily J Gilmore; David Y Hwang; Charles Matouk; Barbara Gordon-Kundu; Adrienne Ward Rn; Nils Petersen; Joseph Schindler; Kevin T Gobeske; Lauren H Sansing; Gordon Sze; Matthew S Rosen; W Taylor Kimberly; Prantik Kundu
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.996

5.  Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis.

Authors:  Minyan Zeng; Lauren Oakden-Rayner; Alix Bird; Luke Smith; Zimu Wu; Rebecca Scroop; Timothy Kleinig; Jim Jannes; Mark Jenkinson; Lyle J Palmer
Journal:  Front Neurol       Date:  2022-09-08       Impact factor: 4.086

6.  Mapping the research trends of astrocytes in stroke: A bibliometric analysis.

Authors:  Zhibin Ding; Nan Jiang; Ting Yang; Hongxia Han; Miaomiao Hou; Gajendra Kumar; Yige Wu; Lijuan Song; Xinyi Li; Cungen Ma; Yanbing Su
Journal:  Front Cell Neurosci       Date:  2022-09-08       Impact factor: 6.147

7.  ESMRMB annual meeting roundtable discussion: "when less is more: the view of MRI vendors on low-field MRI".

Authors:  Wim van Kemenade; Stefano Gazzo; David Grodzki; Edmond A Knopp; José P Marques; Jeff Stainsby
Journal:  MAGMA       Date:  2021-07-14       Impact factor: 2.533

  7 in total

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