Literature DB >> 19394970

Multisequence-imaging protocols to detect cortical lesions of patients with multiple sclerosis: observations from a post-mortem 3 Tesla imaging study.

Francesca Bagnato1, Bing Yao, Fredric Cantor, Hellmut Merkle, Ellen Condon, Marcela Montequin, Sandra Moore, Martha Quezado, Deborah Tkaczyk, Henry McFarland.   

Abstract

Neocortical lesions (NLs) are an important component of multiple sclerosis (MS) pathology and may account for part of the physical and cognitive disability. Visualizing NLs of patients with MS using magnetic resonance imaging (MRI) poses several significant challenges. We optimized the inversion time (TI) of T(1)-based magnetization-prepared rapid acquisition gradient-echo (MPRAGE) images by suppressing the signal of the lesions and enhancing their appearance as hypointensities, on the basis of the derived quantitative T(1) measurements. The latter were achieved by the means of 2D inversion recovery fast spin echo (IR-FSE), repeated using different inversion times (TI). Comparisons of detection of NLs by MPRAGE and dual echo T(2) weighted (T(2)W) and proton density (PD) W. Four coronal brain slices from a deceased MS patient and two coronal brain slices from two formerly healthy donors were imaged using a 3 Tesla magnet (3 T) equipped with a multi-channel coil. Based upon the averaged T1 values computed from the MS specimen as well as visual inspection, an optimal TI of 380 ms was selected for the MPRAGE image. No NLs were seen in the specimens of the two healthy donors. Of the 40 total NLs observed, 8 (20%) were visible in all three sequences employed. Three (7.5%) NLs were visible only in the PDW image and 5 (12.5%) were seen only in the T(2)W image. Four NLs (10%) had clearly unique conspicuity in the MPRAGE image. Of those, 3 were retrospectively scored in the PDW image (1 NL) or in the T2W image (2 NLs). We conclude that for the detection of MS-related NLs, high-resolution T(1)-based MPRAGE and T(2)-W images offer complementary information and the combination of the two image sequences is crucial for increasing the sensitivity of detecting MS-induced NLs.

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Year:  2009        PMID: 19394970      PMCID: PMC3504465          DOI: 10.1016/j.jns.2009.03.021

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  27 in total

1.  In vivo detection of cortical plaques by MR imaging in patients with multiple sclerosis.

Authors:  F Bagnato; J A Butman; S Gupta; M Calabrese; L Pezawas; J M Ohayon; F Tovar-Moll; M Riva; M M Cao; S L Talagala; H F McFarland
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

2.  Whole-brain T1 mapping in multiple sclerosis: global changes of normal-appearing gray and white matter.

Authors:  Hugo Vrenken; Jeroen J G Geurts; Dirk L Knol; L Noor van Dijk; Vincenzo Dattola; Bas Jasperse; Ronald A van Schijndel; Chris H Polman; Jonas A Castelijns; Frederik Barkhof; Petra J W Pouwels
Journal:  Radiology       Date:  2006-07-25       Impact factor: 11.105

3.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

4.  Detection of cortical lesions is dependent on choice of slice thickness in patients with multiple sclerosis.

Authors:  Ondrej Dolezal; Michael G Dwyer; Dana Horakova; Eva Havrdova; Alireza Minagar; Srivats Balachandran; Niels Bergsland; Zdenek Seidl; Manuela Vaneckova; David Fritz; Jan Krasensky; Robert Zivadinov
Journal:  Int Rev Neurobiol       Date:  2007       Impact factor: 3.230

5.  Conventional magnetic resonance imaging features in patients with tropical spastic paraparesis.

Authors:  Francesca Bagnato; John A Butman; Carlos A Mora; Shiva Gupta; Yoshima Yamano; Talin A Tasciyan; Jeffrey M Solomon; Waldyr J Santos; Roger D Stone; Henry F McFarland; Steven Jacobson
Journal:  J Neurovirol       Date:  2005-12       Impact factor: 2.643

6.  Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging.

Authors:  Jeroen J G Geurts; Petra J W Pouwels; Bernard M J Uitdehaag; Chris H Polman; Frederik Barkhof; Jonas A Castelijns
Journal:  Radiology       Date:  2005-07       Impact factor: 11.105

Review 7.  Cortical pathology in multiple sclerosis.

Authors:  Christine Stadelmann; Monika Albert; Christiane Wegner; Wolfgang Brück
Journal:  Curr Opin Neurol       Date:  2008-06       Impact factor: 5.710

Review 8.  Grey matter pathology in multiple sclerosis.

Authors:  Jeroen J G Geurts; Frederik Barkhof
Journal:  Lancet Neurol       Date:  2008-09       Impact factor: 44.182

9.  Does high-field MR imaging improve cortical lesion detection in multiple sclerosis?

Authors:  Jeroen J G Geurts; Erwin L A Blezer; Hugo Vrenken; Annette van der Toorn; Jonas A Castelijns; Chris H Polman; Petra J W Pouwels; Lars Bö; Frederik Barkhof
Journal:  J Neurol       Date:  2008-02-04       Impact factor: 4.849

Review 10.  The place of conventional MRI and newly emerging MRI techniques in monitoring different aspects of treatment outcome.

Authors:  Robert Zivadinov; Milena Stosic; Jennifer L Cox; Deepa P Ramasamy; Michael G Dwyer
Journal:  J Neurol       Date:  2008-03       Impact factor: 4.849

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  11 in total

1.  7T MRI-Histologic Correlation Study of Low Specific Absorption Rate T2-Weighted GRASE Sequences in the Detection of White Matter Involvement in Multiple Sclerosis.

Authors:  Francesca Bagnato; Simon Hametner; David Pennell; Richard Dortch; Adrienne N Dula; Siddharama Pawate; Seth A Smith; Hans Lassmann; John C Gore; Edward B Welch
Journal:  J Neuroimaging       Date:  2015-04-21       Impact factor: 2.486

2.  Selective Inversion Recovery Quantitative Magnetization Transfer Brain MRI at 7T: Clinical and Postmortem Validation in Multiple Sclerosis.

Authors:  Francesca Bagnato; Simon Hametner; Giulia Franco; Siddharama Pawate; Subramaniam Sriram; Hans Lassmann; John Gore; Seth E Smith; Richard Dortch
Journal:  J Neuroimaging       Date:  2018-04-19       Impact factor: 2.486

3.  Chronic multiple sclerosis lesions: characterization with high-field-strength MR imaging.

Authors:  Bing Yao; Francesca Bagnato; Eiji Matsuura; Hellmut Merkle; Peter van Gelderen; Fredric K Cantor; Jeff H Duyn
Journal:  Radiology       Date:  2011-11-14       Impact factor: 11.105

Review 4.  Advanced MRI in multiple sclerosis: current status and future challenges.

Authors:  Robert J Fox; Erik Beall; Pallab Bhattacharyya; Jacqueline T Chen; Ken Sakaie
Journal:  Neurol Clin       Date:  2011-05       Impact factor: 3.806

5.  Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla.

Authors:  Francesca Bagnato; Simon Hametner; Bing Yao; Peter van Gelderen; Hellmut Merkle; Fredric K Cantor; Hans Lassmann; Jeff H Duyn
Journal:  Brain       Date:  2011-12       Impact factor: 13.501

6.  Examination of the role of magnetic resonance imaging in multiple sclerosis: A problem-orientated approach.

Authors:  Henry F McFarland
Journal:  Ann Indian Acad Neurol       Date:  2009-10       Impact factor: 1.383

7.  Quantitative magnetic resonance imaging of cortical multiple sclerosis pathology.

Authors:  Christine L Tardif; Barry J Bedell; Simon F Eskildsen; D Louis Collins; G Bruce Pike
Journal:  Mult Scler Int       Date:  2012-11-18

Review 8.  Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis.

Authors:  H Vrenken; M Jenkinson; M A Horsfield; M Battaglini; R A van Schijndel; E Rostrup; J J G Geurts; E Fisher; A Zijdenbos; J Ashburner; D H Miller; M Filippi; F Fazekas; M Rovaris; A Rovira; F Barkhof; N de Stefano
Journal:  J Neurol       Date:  2012-12-21       Impact factor: 4.849

9.  7 Tesla magnetic resonance imaging to detect cortical pathology in multiple sclerosis.

Authors:  Bing Yao; Simon Hametner; Peter van Gelderen; Hellmuth Merkle; Christina Chen; Hans Lassmann; Jeff H Duyn; Francesca Bagnato
Journal:  PLoS One       Date:  2014-10-10       Impact factor: 3.240

10.  Quantitative Ex Vivo MRI Changes due to Progressive Formalin Fixation in Whole Human Brain Specimens: Longitudinal Characterization of Diffusion, Relaxometry, and Myelin Water Fraction Measurements at 3T.

Authors:  Anwar S Shatil; Md Nasir Uddin; Kant M Matsuda; Chase R Figley
Journal:  Front Med (Lausanne)       Date:  2018-02-20
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