Literature DB >> 18159992

Comparative magnetic resonance imaging at 1.5 and 3 Tesla for the evaluation of traumatic microbleeds.

Rainer Scheid1, Derek V Ott, Henrik Roth, Matthias L Schroeter, D Yves von Cramon.   

Abstract

Traumatic microbleeds (TMBs) can be regarded as a radiological marker of diffuse axonal injury (DAI). We sought to investigate the impact of the field strengths on the depiction of TMBs by T2*-weighted gradient echo magnetic resonance imaging (MRI). By the use of comparative MRI of 14 patients (age range, 22-62 years) on 1.5- and a 3 T (Tesla) systems at a median time interval of 61 months after traumatic brain injury (TBI), we found 239 (range 0.5-48.5, median 7.5) TMBs at 1.5 T, and 470 (range 2-118, median 18.5) TMBs at 3 T, respectively (p=0.001). However, in all but one patients MRI at 1.5 T also clearly showed TMBs. A significant negative correlation between the number of TMBs and the time interval TBI-MRI was observed, which was weaker for the imaging at 3 T (r(s)=-0.798; p=0.001; and r(s)=-0.649; p=0.012, respectively). In conclusion, T2*-weighted gradient-echo MRI at 3 T is superior as compared to MRI at 1.5 T for the detection of TMBs. Nevertheless, in clinical practice, MRI at 1.5 T seems to be sufficient for this purpose. MRI at 3 T may be appropriate if there is a strong clinical suspicion of DAI, despite unremarkable routine MRI, and possibly also if evidence of DAI is sought after a long interval from trauma.

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Year:  2007        PMID: 18159992     DOI: 10.1089/neu.2007.0382

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  24 in total

1.  Clinical findings in the chronic phase of traumatic brain injury: data from 12 years' experience in the Cognitive Neurology Outpatient Clinic at the University of Leipzig.

Authors:  Rainer Scheid; D Yves von Cramon
Journal:  Dtsch Arztebl Int       Date:  2010-03-26       Impact factor: 5.594

Review 2.  A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury.

Authors:  M E Shenton; H M Hamoda; J S Schneiderman; S Bouix; O Pasternak; Y Rathi; M-A Vu; M P Purohit; K Helmer; I Koerte; A P Lin; C-F Westin; R Kikinis; M Kubicki; R A Stern; R Zafonte
Journal:  Brain Imaging Behav       Date:  2012-06       Impact factor: 3.978

3.  Quantification of brain edema and hemorrhage by MRI after experimental traumatic brain injury in rabbits predicts subsequent functional outcome.

Authors:  Yue-Hua Li; Jian-Bo Wang; Ming-Hua Li; Wen-Bin Li; Dan Wang
Journal:  Neurol Sci       Date:  2011-09-14       Impact factor: 3.307

4.  Revisiting Grade 3 Diffuse Axonal Injury: Not All Brainstem Microbleeds are Prognostically Equal.

Authors:  Saef Izzy; Nicole L Mazwi; Sergi Martinez; Camille A Spencer; Joshua P Klein; Gunjan Parikh; Mel B Glenn; Steven M Greenberg; David M Greer; Ona Wu; Brian L Edlow
Journal:  Neurocrit Care       Date:  2017-10       Impact factor: 3.210

5.  Is the Susceptibility Vessel Sign on 3-Tesla Magnetic Resonance T2*-Weighted Imaging a Useful Tool to Predict Recanalization in Intravenous Tissue Plasminogen Activator?

Authors:  N Yamamoto; J Satomi; M Harada; Y Izumi; S Nagahiro; R Kaji
Journal:  Clin Neuroradiol       Date:  2014-12-18       Impact factor: 3.649

Review 6.  Mapping the Connectome Following Traumatic Brain Injury.

Authors:  Yousef Hannawi; Robert D Stevens
Journal:  Curr Neurol Neurosci Rep       Date:  2016-05       Impact factor: 5.081

Review 7.  Advanced neuroimaging in traumatic brain injury.

Authors:  Brian L Edlow; Ona Wu
Journal:  Semin Neurol       Date:  2013-01-29       Impact factor: 3.420

Review 8.  Cerebral microbleeds: a guide to detection and interpretation.

Authors:  Steven M Greenberg; Meike W Vernooij; Charlotte Cordonnier; Anand Viswanathan; Rustam Al-Shahi Salman; Steven Warach; Lenore J Launer; Mark A Van Buchem; Monique Mb Breteler
Journal:  Lancet Neurol       Date:  2009-02       Impact factor: 44.182

9.  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

10.  Microbleed detection using automated segmentation (MIDAS): a new method applicable to standard clinical MR images.

Authors:  Mohamed L Seghier; Magdalena A Kolanko; Alexander P Leff; Hans R Jäger; Simone M Gregoire; David J Werring
Journal:  PLoS One       Date:  2011-03-23       Impact factor: 3.240

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