Literature DB >> 29724768

Identification of Chronic Active Multiple Sclerosis Lesions on 3T MRI.

M Absinta1, P Sati1, A Fechner1,2, M K Schindler1, G Nair1, D S Reich3.   

Abstract

BACKGROUND AND
PURPOSE: MR imaging-pathologic studies have reported that paramagnetic rims on 7T susceptibility-based MR imaging identify, in vivo, the subset of MS lesions with compartmentalized inflammation at the lesion edge and associated remyelination failure. Here, we assessed the reliability of detecting these rims on high-resolution 3T phase images.
MATERIALS AND METHODS: High-resolution T2* and phase MR imaging was collected in 20 patients with MS at 3T (3D segmented EPI, 0.65 mm3) and 7T (2D gradient-echo, 0.2 × 0.2 × 1 mm) MR imaging. In each case, 5 discrete chronic (nonenhancing) MS lesions were selected on T2 FLAIR images for rim evaluation. Five raters experienced in MS imaging contributed to the rim assessment, of whom 3 worked independently on 3T data, and 2, on 7T data. Consensus agreement was reached for both 3T and 7T rim evaluations. Discrepancies between 3T and 7T were discussed, and consensus was reached.
RESULTS: Phase rims were seen in 34 lesions at 7T and in 36 lesions at 3T by consensus. Inter- and intrarater reliability were "substantial/good" both at 3T and 7T analysis (Cohen κ, >0.71). Based on consensus agreement, the reliability of rim visualization at 3T versus 7T was 0.78 (κ) with a pair-wise agreement of 90%. More lesions were judged to be false-positive or false-negative at 3T than at 7T.
CONCLUSIONS: Nearly all 7T paramagnetic rims can also be seen at 3T. Imaging at 3T opens the possibility of implementing paramagnetic rims as an outcome measure in multicenter, MR imaging-based clinical trials aimed at treating perilesional persistent inflammation and its potential effects on remyelination.
© 2018 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2018        PMID: 29724768      PMCID: PMC6039266          DOI: 10.3174/ajnr.A5660

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


  32 in total

1.  Iron deposition in multiple sclerosis lesions measured by susceptibility-weighted imaging filtered phase: a case control study.

Authors:  Jesper Hagemeier; Mari Heininen-Brown; Guy U Poloni; Niels Bergsland; Christopher R Magnano; Jacqueline Durfee; Cheryl Kennedy; Ellen Carl; Bianca Weinstock-Guttman; Michael G Dwyer; Robert Zivadinov
Journal:  J Magn Reson Imaging       Date:  2012-03-07       Impact factor: 4.813

2.  Quantitative in vivo magnetic resonance imaging of multiple sclerosis at 7 Tesla with sensitivity to iron.

Authors:  Kathryn E Hammond; Meredith Metcalf; Lucas Carvajal; Darin T Okuda; Radhika Srinivasan; Dan Vigneron; Sarah J Nelson; Daniel Pelletier
Journal:  Ann Neurol       Date:  2008-12       Impact factor: 10.422

3.  Immunopathology of multiple sclerosis: report on an international meeting held at the Institute of Neurology of the University of Vienna.

Authors:  H Lassmann; C S Raine; J Antel; J W Prineas
Journal:  J Neuroimmunol       Date:  1998-06-15       Impact factor: 3.478

4.  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

5.  Imaging cortical lesions in multiple sclerosis with ultra-high-field magnetic resonance imaging.

Authors:  David Pitt; Aaron Boster; Wei Pei; Eric Wohleb; Adam Jasne; Cherian R Zachariah; Kottil Rammohan; Michael V Knopp; Petra Schmalbrock
Journal:  Arch Neurol       Date:  2010-07

6.  Multiple sclerosis: validation of MR imaging for quantification and detection of iron.

Authors:  Andrew J Walsh; R Marc Lebel; Amir Eissa; Gregg Blevins; Ingrid Catz; Jian-Qiang Lu; Lothar Resch; Edward S Johnson; Derek J Emery; Kenneth G Warren; Alan H Wilman
Journal:  Radiology       Date:  2013-01-07       Impact factor: 11.105

7.  FLAIR*: a combined MR contrast technique for visualizing white matter lesions and parenchymal veins.

Authors:  Pascal Sati; Ilena C George; Colin D Shea; María I Gaitán; Daniel S Reich
Journal:  Radiology       Date:  2012-10-16       Impact factor: 11.105

8.  Seven-tesla phase imaging of acute multiple sclerosis lesions: a new window into the inflammatory process.

Authors:  Martina Absinta; Pascal Sati; María I Gaitán; Pietro Maggi; Irene C M Cortese; Massimo Filippi; Daniel S Reich
Journal:  Ann Neurol       Date:  2013-09-16       Impact factor: 10.422

9.  The Central Vein Sign in Multiple Sclerosis Lesions Is Present Irrespective of the T2* Sequence at 3 T.

Authors:  Amal P R Samaraweera; Margareta A Clarke; Amy Whitehead; Yasser Falah; Ian D Driver; Robert A Dineen; Paul S Morgan; Nikos Evangelou
Journal:  J Neuroimaging       Date:  2016-06-14       Impact factor: 2.486

10.  A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field.

Authors:  Matthew John Cronin; Samuel Wharton; Ali Al-Radaideh; Cris Constantinescu; Nikos Evangelou; Richard Bowtell; Penny Anne Gowland
Journal:  MAGMA       Date:  2016-04-25       Impact factor: 2.310

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  27 in total

1.  Higher EBV response is associated with more severe gray matter and lesion pathology in relapsing multiple sclerosis patients: A case-controlled magnetization transfer ratio study.

Authors:  Dejan Jakimovski; Murali Ramanathan; Bianca Weinstock-Guttman; Niels Bergsland; Deepa P Ramasamay; Ellen Carl; Michael G Dwyer; Robert Zivadinov
Journal:  Mult Scler       Date:  2019-02-13       Impact factor: 6.312

2.  Value of 3T Susceptibility-Weighted Imaging in the Diagnosis of Multiple Sclerosis.

Authors:  M A Clarke; D Pareto; L Pessini-Ferreira; G Arrambide; M Alberich; F Crescenzo; S Cappelle; M Tintoré; J Sastre-Garriga; C Auger; X Montalban; N Evangelou; À Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-21       Impact factor: 3.825

3.  Sex-specific differences in rim appearance of multiple sclerosis lesions on quantitative susceptibility mapping.

Authors:  Tolaymat B; Zheng W; Chen H; Choi S; Li X; Harrison Dm
Journal:  Mult Scler Relat Disord       Date:  2020-06-18       Impact factor: 4.339

4.  A lymphocyte-microglia-astrocyte axis in chronic active multiple sclerosis.

Authors:  Martina Absinta; Dragan Maric; Marjan Gharagozloo; Thomas Garton; Matthew D Smith; Jing Jin; Kathryn C Fitzgerald; Anya Song; Poching Liu; Jing-Ping Lin; Tianxia Wu; Kory R Johnson; Dorian B McGavern; Dorothy P Schafer; Peter A Calabresi; Daniel S Reich
Journal:  Nature       Date:  2021-09-08       Impact factor: 69.504

5.  7T MRI Differentiates Remyelinated from Demyelinated Multiple Sclerosis Lesions.

Authors:  Hadar Kolb; Martina Absinta; Erin S Beck; Seung-Kwon Ha; Yeajin Song; Gina Norato; Irene Cortese; Pascal Sati; Govind Nair; Daniel S Reich
Journal:  Ann Neurol       Date:  2021-09-02       Impact factor: 11.274

6.  Quantitative susceptibility mapping versus phase imaging to identify multiple sclerosis iron rim lesions with demyelination.

Authors:  Weiyuan Huang; Elizabeth M Sweeney; Ulrike W Kaunzner; Yi Wang; Susan A Gauthier; Thanh D Nguyen
Journal:  J Neuroimaging       Date:  2022-03-09       Impact factor: 2.324

7.  Paramagnetic Rim Lesions in Multiple Sclerosis: Comparison of Visualization at 1.5-T and 3-T MRI.

Authors:  Christopher C Hemond; Daniel S Reich; Sathish K Dundamadappa
Journal:  AJR Am J Roentgenol       Date:  2021-12-01       Impact factor: 6.582

Review 8.  Epidemiology and treatment of multiple sclerosis in elderly populations.

Authors:  Caila B Vaughn; Dejan Jakimovski; Katelyn S Kavak; Murali Ramanathan; Ralph H B Benedict; Robert Zivadinov; Bianca Weinstock-Guttman
Journal:  Nat Rev Neurol       Date:  2019-06       Impact factor: 42.937

Review 9.  Advances in brain imaging in multiple sclerosis.

Authors:  Rosa Cortese; Sara Collorone; Olga Ciccarelli; Ahmed T Toosy
Journal:  Ther Adv Neurol Disord       Date:  2019-06-27       Impact factor: 6.570

10.  Evaluation of Ultrafast Wave-Controlled Aliasing in Parallel Imaging 3D-FLAIR in the Visualization and Volumetric Estimation of Cerebral White Matter Lesions.

Authors:  C Ngamsombat; A L M Gonçalves Filho; M G F Longo; S F Cauley; K Setsompop; J E Kirsch; Q Tian; Q Fan; D Polak; W Liu; W-C Lo; R Gilberto González; P W Schaefer; O Rapalino; J Conklin; S Y Huang
Journal:  AJNR Am J Neuroradiol       Date:  2021-07-08       Impact factor: 4.966

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