Literature DB >> 22084205

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

Bing Yao1, Francesca Bagnato, Eiji Matsuura, Hellmut Merkle, Peter van Gelderen, Fredric K Cantor, Jeff H Duyn.   

Abstract

PURPOSE: To elucidate the mechanism of magnetic resonance (MR) imaging contrast in multiple sclerosis (MS) lesion appearance by using susceptibility-weighted imaging and to assess with histologic correlation the role of iron and myelin in generating this MR imaging contrast.
MATERIALS AND METHODS: Each patient provided written consent to a human subject protocol approved by an institutional review board. High-spatial-resolution susceptibility-weighted 7.0-T MR images were obtained in 21 patients with MS. Contrast patterns in quantitative phase and R2* images, derived from 7.0-T data, were investigated in 220 areas defined as chronic MS lesions on conventional T2-weighted fluid-attenuated inversion recovery, T2-weighted, and T1-weighted spin-echo images. The presence of positive or negative phase shifts (ie, decreased or increased MR frequency, respectively) was assessed in each lesion. In addition, postmortem MR imaging was performed at 7.0 T and 11.7 T, and its results were correlated with those of immunohistochemical staining specific for myelin, iron, and ferritin.
RESULTS: The majority (133 [60.5%] of 220) of the identified lesions had a normal phase and reduced R2*. A substantial fraction of the lesions (84 [38.2%] of 220) had negative phase shift, either uniformly or at their rim, and a variety of appearances on R2* maps. These two lesion contrast patterns were reproduced in the postmortem MR imaging study. Comparison with histologic findings showed that, while R2* reduction corresponded to severe loss of both iron and myelin, negative phase shift corresponded to focal iron deposits with myelin loss.
CONCLUSION: Combined analysis of 7.0-T R2* and phase data may help in characterizing the pathologic features of MS lesions. The observed R2* decreases suggest profound myelin loss, whereas negative phase shifts suggest a focal iron accumulation. © RSNA, 2011.

Entities:  

Mesh:

Year:  2011        PMID: 22084205      PMCID: PMC3244667          DOI: 10.1148/radiol.11110601

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  39 in total

Review 1.  Magnetic resonance imaging of brain iron.

Authors:  John F Schenck
Journal:  J Neurol Sci       Date:  2003-03-15       Impact factor: 3.181

2.  Signal-to-noise ratio and parallel imaging performance of a 16-channel receive-only brain coil array at 3.0 Tesla.

Authors:  Jacco A de Zwart; Patrick J Ledden; Peter van Gelderen; Jerzy Bodurka; Renxin Chu; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2004-01       Impact factor: 4.668

3.  High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility.

Authors:  Chunlei Liu; Wei Li; G Allan Johnson; Bing Wu
Journal:  Neuroimage       Date:  2011-02-12       Impact factor: 6.556

4.  T2 hypointensity in the deep gray matter of patients with multiple sclerosis: a quantitative magnetic resonance imaging study.

Authors:  Rohit Bakshi; Ralph H B Benedict; Robert A Bermel; Shelton D Caruthers; Srinivas R Puli; Christopher W Tjoa; Andrew J Fabiano; Lawrence Jacobs
Journal:  Arch Neurol       Date:  2002-01

Review 5.  The role of iron in the pathogenesis of experimental allergic encephalomyelitis and multiple sclerosis.

Authors:  Steven M LeVine; Anuradha Chakrabarty
Journal:  Ann N Y Acad Sci       Date:  2004-03       Impact factor: 5.691

6.  Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

Authors:  J F Kurtzke
Journal:  Neurology       Date:  1983-11       Impact factor: 9.910

7.  Water content and myelin water fraction in multiple sclerosis. A T2 relaxation study.

Authors:  C Laule; I M Vavasour; G R W Moore; J Oger; D K B Li; D W Paty; A L MacKay
Journal:  J Neurol       Date:  2004-03       Impact factor: 4.849

8.  Evolution of T1 black holes in patients with multiple sclerosis imaged monthly for 4 years.

Authors:  Francesca Bagnato; Neal Jeffries; Nancy D Richert; Roger D Stone; Joan M Ohayon; Henry F McFarland; Joseph A Frank
Journal:  Brain       Date:  2003-06-23       Impact factor: 13.501

9.  Iron accumulation in the basal ganglia following severe ischemic-anoxic insults in children.

Authors:  R B Dietrich; W G Bradley
Journal:  Radiology       Date:  1988-07       Impact factor: 11.105

10.  Iron deposits surrounding multiple sclerosis plaques.

Authors:  W Craelius; M W Migdal; C P Luessenhop; A Sugar; I Mihalakis
Journal:  Arch Pathol Lab Med       Date:  1982-08       Impact factor: 5.534

View more
  59 in total

1.  Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis.

Authors:  M Castellaro; R Magliozzi; A Palombit; M Pitteri; E Silvestri; V Camera; S Montemezzi; F B Pizzini; A Bertoldo; R Reynolds; S Monaco; M Calabrese
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-13       Impact factor: 3.825

2.  Persistent 7-tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions.

Authors:  Martina Absinta; Pascal Sati; Matthew Schindler; Emily C Leibovitch; Joan Ohayon; Tianxia Wu; Alessandro Meani; Massimo Filippi; Steven Jacobson; Irene C M Cortese; Daniel S Reich
Journal:  J Clin Invest       Date:  2016-06-06       Impact factor: 14.808

Review 3.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

Review 4.  Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain.

Authors:  Chunlei Liu; Wei Li; Karen A Tong; Kristen W Yeom; Samuel Kuzminski
Journal:  J Magn Reson Imaging       Date:  2014-10-01       Impact factor: 4.813

Review 5.  The role of iron in brain ageing and neurodegenerative disorders.

Authors:  Roberta J Ward; Fabio A Zucca; Jeff H Duyn; Robert R Crichton; Luigi Zecca
Journal:  Lancet Neurol       Date:  2014-10       Impact factor: 44.182

6.  A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging.

Authors:  Caterina Mainero; Céline Louapre; Sindhuja T Govindarajan; Costanza Giannì; A Scott Nielsen; Julien Cohen-Adad; Jacob Sloane; Revere P Kinkel
Journal:  Brain       Date:  2015-02-12       Impact factor: 13.501

7.  Morphological features of MS lesions on FLAIR* at 7 T and their relation to patient characteristics.

Authors:  Iris D Kilsdonk; Alexandra Lopez-Soriano; Joost P A Kuijer; Wolter L de Graaf; Jonas A Castelijns; Chris H Polman; Peter R Luijten; Jeroen J J G Geurts; Frederik Barkhof; Mike P Wattjes
Journal:  J Neurol       Date:  2014-04-29       Impact factor: 4.849

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

Authors:  M Absinta; P Sati; A Fechner; M K Schindler; G Nair; D S Reich
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-03       Impact factor: 3.825

9.  Initial investigation of the blood-brain barrier in MS lesions at 7 tesla.

Authors:  María I Gaitán; Pascal Sati; Souheil J Inati; Daniel S Reich
Journal:  Mult Scler       Date:  2012-12-17       Impact factor: 6.312

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.