Literature DB >> 23297322

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

Andrew J Walsh1, 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.   

Abstract

PURPOSE: To investigate the relationship between iron staining and magnetic resonance (MR) imaging measurements in postmortem subjects with multiple sclerosis (MS).
MATERIALS AND METHODS: Institutional ethical approval was obtained, and informed consent was obtained from the subjects and/or their families. Four MR imaging methods based on transverse relaxation (T2 weighting, R2 mapping, and R2* mapping) and phase imaging were performed by using a 4.7-T system in three in situ postmortem patients with MS less than 28 hours after death and in one in vivo patient 1 year before death. Iron staining with the Perls iron reaction was performed after brain extraction. Region-of-interest measurements from six subcortical gray matter structures were obtained from MR imaging and then correlated with corresponding locations on photographs of iron-stained pathologic slices by using a separate linear least-squares regression in each subject. Iron status of white matter lesions, as determined by staining, was compared with appearance on MR images.
RESULTS: R2* mapping had the highest intrasubject correlations with iron in subcortical gray matter (R(2) = 0.857, 0.628, and 0.685; all P < .001), while R2 mapping (R(2) = 0.807, 0.615, 0.628, and 0.489; P < .001 and P = .001, .034, and .001, respectively), phase imaging (R(2) = 0.672, 0.441, 0.596, 0.548; all P ≤ .001), and T2-weighted imaging (R(2) = 0.463, 0.582, 0.650, and 0.551; all P < .001) had lower but still strong correlations. Within lesions, hypointense areas on phase images did not always represent iron. A hyperintense rim surrounding lesions on R2* maps was only present with iron staining, yet not all iron-staining lesions had R2* rim hyperintensity.
CONCLUSION: All four MR imaging methods had significant linear correlations with iron and could potentially be used to determine iron status of subcortical gray matter structures in MS, with R2* mapping being preferred. A reliable method of determining iron status within MS lesions was not established. © RSNA, 2013.

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Year:  2013        PMID: 23297322     DOI: 10.1148/radiol.12120863

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


  28 in total

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Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

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
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Authors:  Muhammad E Haque; Refaat E Gabr; Xiurong Zhao; Khader M Hasan; Andrew Valenzuela; Ponnada A Narayana; Shun-Ming Ting; Guanghua Sun; Sean I Savitz; Jaroslaw Aronowski
Journal:  J Cereb Blood Flow Metab       Date:  2018-01-02       Impact factor: 6.200

4.  Chronic T2 Lesions in Multiple Sclerosis are Heterogeneous Regarding Phase MR Imaging.

Authors:  S Siemonsen; K L Young; M Bester; J Sedlacik; C Heesen; J Fiehler; J-P Stellmann
Journal:  Clin Neuroradiol       Date:  2015-04-18       Impact factor: 3.649

5.  Iron distribution in the lentiform nucleus: A post-mortem MRI and histology study.

Authors:  Amaury De Barros; Germain Arribarat; Jean Albert Lotterie; Gaelle Dominguez; Patrick Chaynes; Patrice Péran
Journal:  Brain Struct Funct       Date:  2021-01-02       Impact factor: 3.270

6.  Iron and Non-Iron-Related Characteristics of Multiple Sclerosis and Neuromyelitis Optica Lesions at 7T MRI.

Authors:  S Chawla; I Kister; J Wuerfel; J-C Brisset; S Liu; T Sinnecker; P Dusek; E M Haacke; F Paul; Y Ge
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-24       Impact factor: 3.825

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.  Quantitative susceptibility mapping in patients with systemic lupus erythematosus: detection of abnormalities in normal-appearing basal ganglia.

Authors:  Atsushi Ogasawara; Shingo Kakeda; Keita Watanabe; Satoru Ide; Issei Ueda; Yu Murakami; Junji Moriya; Koichiro Futatsuya; Toru Sato; Shingo Nakayamada; Kazuyoshi Saito; Yoshiya Tanaka; Tian Liu; Yi Wang; Yukunori Korogi
Journal:  Eur Radiol       Date:  2015-08-01       Impact factor: 5.315

10.  Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging.

Authors:  Sarah Eskreis-Winkler; Kofi Deh; Ajay Gupta; Tian Liu; Cynthia Wisnieff; Moonsoo Jin; Susan A Gauthier; Yi Wang; Pascal Spincemaille
Journal:  J Magn Reson Imaging       Date:  2014-08-30       Impact factor: 4.813

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