Literature DB >> 33033046

Maximum AmbiGuity Distance for Phase Imaging in Detection of Traumatic Cerebral Microbleeds: An Improvement over Current Imaging Practice.

K Nael1, J C Dagher2, M E Downs2, M S Fine2, E Brokaw2, D Millward3.   

Abstract

BACKGROUND AND
PURPOSE: Developed using a rigorous mathematic framework, Maximum AmbiGuity distance for Phase Imaging (MAGPI) is a promising phase-imaging technique that provides optimal phase SNR and reduced susceptibility artifacts. We aimed to test the potential of MAGPI over routinely used SWI in the detection of traumatic cerebral microbleeds in athletes diagnosed with mild traumatic brain injury.
MATERIALS AND METHODS: In this prospective study, 10 athletes (18-22 years of age, 3 women/7 men) diagnosed with mild traumatic brain injury were enrolled. Brain MRIs were performed using 3T MR imaging at 2 days, 2 weeks, and 2 months after head trauma. The imaging protocol included whole-brain T1 MPRAGE, T2 FLAIR, conventional SWI, and the MAGPI multiecho sequence. Phase images from MAGPI were put through a previously described SWI process to generate MAGPI-SWI. Conventional and MAGPI-SWI were assessed independently by a board-certified neuroradiologist for the presence of contusions and cerebral microbleeds. All participants had routine neuropsychological assessment and Visuo-Motor Tests.
RESULTS: At initial assessment, 4 of the participants had visuo-motor performance indicative of mild traumatic brain injury, and 4 participants had a Post-Concussion Symptom Scale score of >21, a threshold that has been used to define moderate impairment. Cerebral microbleeds were identified in 6 participants on MAGPI-SWI, 4 of whom had evidence of concurrent contusions on FLAIR imaging. None of these cerebral microbleeds were identified confidently on conventional SWI due to substantial distortion and susceptibility artifacts.
CONCLUSIONS: Optimal phase unwrapping with reduced susceptibility in MAGPI-SWI can clarify small microbleeds that can go undetected with routinely used conventional SWI.
© 2020 by American Journal of Neuroradiology.

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Mesh:

Year:  2020        PMID: 33033046      PMCID: PMC7658854          DOI: 10.3174/ajnr.A6774

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  26 in total

1.  A validation of the post concussion symptom scale in the assessment of complex concussion using cognitive testing and functional MRI.

Authors:  Jen-Kai Chen; Karen M Johnston; Alex Collie; Paul McCrory; Alain Ptito
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-03-19       Impact factor: 10.154

2.  improving interrater agreement about brain microbleeds: development of the Brain Observer MicroBleed Scale (BOMBS).

Authors:  Charlotte Cordonnier; Gillian M Potter; Caroline A Jackson; Fergus Doubal; Sarah Keir; Cathie L M Sudlow; Joanna M Wardlaw; Rustam Al-Shahi Salman
Journal:  Stroke       Date:  2008-11-13       Impact factor: 7.914

3.  Clinical relevance of improved microbleed detection by susceptibility-weighted magnetic resonance imaging.

Authors:  Jeroen D C Goos; Wiesje M van der Flier; Dirk L Knol; Petra J W Pouwels; Philip Scheltens; Frederik Barkhof; Mike P Wattjes
Journal:  Stroke       Date:  2011-05-12       Impact factor: 7.914

4.  Dynamic motor tracking is sensitive to subacute mTBI.

Authors:  Michael S Fine; Peter S Lum; Elizabeth B Brokaw; Matthew S Caywood; Anthony J Metzger; Alexander V Libin; Jill Terner; Jack W Tsao; Jacob N Norris; David Milzman; Diane Williams; Jeff Colombe; Alexander W Dromerick
Journal:  Exp Brain Res       Date:  2016-07-08       Impact factor: 1.972

5.  Quantitative assessment of susceptibility-weighted imaging processing methods.

Authors:  Ningzhi Li; Wen-Tung Wang; Pascal Sati; Dzung L Pham; John A Butman
Journal:  J Magn Reson Imaging       Date:  2013-11-08       Impact factor: 4.813

Review 6.  Clinical associations of cerebral microbleeds on magnetic resonance neuroimaging.

Authors:  Matthew Schrag; David M Greer
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-10-05       Impact factor: 2.136

7.  Traumatic brain injury in the United States: A public health perspective.

Authors:  D J Thurman; C Alverson; K A Dunn; J Guerrero; J E Sniezek
Journal:  J Head Trauma Rehabil       Date:  1999-12       Impact factor: 2.710

8.  Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds.

Authors:  F Fazekas; R Kleinert; G Roob; G Kleinert; P Kapeller; R Schmidt; H P Hartung
Journal:  AJNR Am J Neuroradiol       Date:  1999-04       Impact factor: 3.825

9.  Prevalence and topography of small hypointense foci suggesting microbleeds on 3T susceptibility-weighted imaging in various types of dementia.

Authors:  H Uetani; T Hirai; M Hashimoto; M Ikeda; M Kitajima; F Sakamoto; D Utsunomiya; S Oda; S Sugiyama; J Matsubara; Y Yamashita
Journal:  AJNR Am J Neuroradiol       Date:  2012-11-01       Impact factor: 3.825

10.  MR imaging detection of cerebral microbleeds: effect of susceptibility-weighted imaging, section thickness, and field strength.

Authors:  R N K Nandigam; A Viswanathan; P Delgado; M E Skehan; E E Smith; J Rosand; S M Greenberg; B C Dickerson
Journal:  AJNR Am J Neuroradiol       Date:  2008-11-11       Impact factor: 3.825

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  1 in total

1.  Cerebral Microbleeds and Structural White Matter Integrity in Patients With Traumatic Brain Injury-A Diffusion Tensor Imaging Study.

Authors:  Juho Dahl; Olli Tenovuo; Jussi P Posti; Jussi Hirvonen; Ari J Katila; Janek Frantzén; Henna-Riikka Maanpää; Riikka Takala; Eliisa Löyttyniemi; Jussi Tallus; Virginia Newcombe; David K Menon; Peter J Hutchinson; Mehrbod Mohammadian
Journal:  Front Neurol       Date:  2022-05-31       Impact factor: 4.086

  1 in total

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