Literature DB >> 23529352

Central veins in brain lesions visualized with high-field magnetic resonance imaging: a pathologically specific diagnostic biomarker for inflammatory demyelination in the brain.

Niraj Mistry1, Jennifer Dixon, Emma Tallantyre, Christopher Tench, Rasha Abdel-Fahim, Tim Jaspan, Paul S Morgan, Peter Morris, Nikos Evangelou.   

Abstract

IMPORTANCE: There is no single test that is diagnostic for multiple sclerosis (MS), and existing diagnostic criteria are imperfect. This can lead to diagnostic delay. Some patients require multiple (sometimes invasive) investigations, and extensive clinical follow-up to confirm or exclude a diagnosis of MS. A diagnostic biomarker that is pathologically specific for the inflammatory demyelination in MS could overhaul current diagnostic algorithms.
OBJECTIVE: To prospectively assess the diagnostic value of visualizing central veins in brain lesions with magnetic resonance imaging (MRI) for patients with possible MS for whom the diagnosis is uncertain.
DESIGN: Prospective longitudinal cohort study. The reference standard is a clinical diagnosis that is arrived at (after a mean follow-up of 26 months) by the treating neurologist with a specialist interest in MS. The 7-T MRI scans were analyzed at baseline, by physicians blinded to the clinical data, for the presence of visible central veins.
SETTING: Academic MS referral center. PARTICIPANTS: A consecutive sample of 29 patients referred with possible MS who had brain lesions detected on clinical MRI scans but whose condition remained undiagnosed despite expert clinical and radiological assessments. EXPOSURE: Seven-Tesla MRI using a T2*-weighted sequence. MAIN OUTCOMES AND MEASURES: The proportion of patients whose condition was correctly diagnosed as MS or as not MS, using 7-T MRI at study onset, compared with the eventual diagnosis reached by treating physicians blinded to the result of the MRI scan.
RESULTS: Of the 29 patients enrolled and scanned using 7-T MRI, so far 22 have received a clinical diagnosis. All 13 patients whose condition was eventually diagnosed as MS had central veins visible in the majority of brain lesions at baseline. All 9 patients whose condition was eventually not diagnosed as MS had central veins visible in a minority of lesions. CONCLUSIONS AND RELEVANCE: In our study, T2*-weighted 7-T MRI had 100% positive and negative predictive value for the diagnosis of MS. Clinical application of this technique could improve existing diagnostic algorithms.

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Year:  2013        PMID: 23529352     DOI: 10.1001/jamaneurol.2013.1405

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  32 in total

1.  Dark Rims: Novel Sequence Enhances Diagnostic Specificity in Multiple Sclerosis.

Authors:  J-M Tillema; S D Weigand; M Dayan; Y Shu; O H Kantarci; C F Lucchinetti; J D Port
Journal:  AJNR Am J Neuroradiol       Date:  2018-04-26       Impact factor: 3.825

2.  Veins in plaques of multiple sclerosis patients - a longitudinal magnetic resonance imaging study at 7 Tesla.

Authors:  Assunta Dal-Bianco; Simon Hametner; Günther Grabner; Melanie Schernthaner; Claudia Kronnerwetter; Andreas Reitner; Clemens Vass; Karl Kircher; Eduard Auff; Fritz Leutmezer; Karl Vass; Siegfried Trattnig
Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

3.  Rapid, high-resolution, whole-brain, susceptibility-based MRI of multiple sclerosis.

Authors:  P Sati; D M Thomasson; N Li; D L Pham; N M Biassou; D S Reich; J A Butman
Journal:  Mult Scler       Date:  2014-03-17       Impact factor: 6.312

4.  Optimization of magnetization-prepared 3-dimensional fluid attenuated inversion recovery imaging for lesion detection at 7 T.

Authors:  Manojkumar Saranathan; Thomas Tourdias; Adam B Kerr; Jeff D Bernstein; Geoffrey A Kerchner; May H Han; Brian K Rutt
Journal:  Invest Radiol       Date:  2014-05       Impact factor: 6.016

5.  The "central vein sign" in patients with diagnostic "red flags" for multiple sclerosis: A prospective multicenter 3T study.

Authors:  Pietro Maggi; Martina Absinta; Pascal Sati; Gaetano Perrotta; Luca Massacesi; Bernard Dachy; Caroline Pot; Reto Meuli; Daniel S Reich; Massimo Filippi; Renaud Du Pasquier; Marie Théaudin
Journal:  Mult Scler       Date:  2019-09-19       Impact factor: 6.312

Review 6.  Imag(in)ing multiple sclerosis: Time to take better pictures.

Authors:  Daniel S Reich
Journal:  J Neuroimmunol       Date:  2016-10-03       Impact factor: 3.478

7.  Diagnostic performance of central vein sign for multiple sclerosis with a simplified three-lesion algorithm.

Authors:  Andrew J Solomon; Richard Watts; Daniel Ontaneda; Martina Absinta; Pascal Sati; Daniel S Reich
Journal:  Mult Scler       Date:  2017-08-18       Impact factor: 6.312

8.  On the role of physiological fluctuations in quantitative gradient echo MRI: implications for GEPCI, QSM, and SWI.

Authors:  Jie Wen; Anne H Cross; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2014-01-30       Impact factor: 4.668

Review 9.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

Review 10.  [Ultrahigh field MRI in context of neurological diseases].

Authors:  J Kuchling; T Sinnecker; I Bozin; J Dörr; V I Madai; J Sobesky; T Niendorf; F Paul; J Wuerfel
Journal:  Nervenarzt       Date:  2014-04       Impact factor: 1.214

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