Literature DB >> 34851712

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

Christopher C Hemond1, Daniel S Reich2, Sathish K Dundamadappa3.   

Abstract

BACKGROUND. Multiple sclerosis (MS) is characterized by both acute and chronic intrathecal inflammation. A subset of MS lesions show paramagnetic rims on susceptibility-weighted MRI sequences, reflecting iron accumulation in microglia. These para-magnetic rim lesions have been proposed as a marker of compartmentalized smoldering disease. Paramagnetic rim lesions have been shown at 7 T and, more recently, at 3 T. As susceptibility effects are weaker at lower field strength, it remains unclear if paramagnetic rim lesions are visible at 1.5 T. OBJECTIVE. The purpose of our study was to compare visualization of paramagnetic rim lesions using susceptibility-weighted imaging at 1.5-T and 3-T MRI in patients with MS. METHODS. This retrospective study included nine patients (five women, four men; mean age, 46.8 years) with MS who underwent both 1.5-T and 3-T MRI using a comparable susceptibility-weighted angiography (SWAN) sequence from the same manufacturer. Lesions measuring greater than 3 mm were annotated. Two reviewers independently assessed images at each field strength in separate sessions and classified the annotated lesions as isointense, diffusely paramagnetic, or paramagnetic rim lesions. Discrepancies were discussed at consensus sessions including a third reviewer. Agreement was assessed using kappa coefficients. RESULTS. Based on the 3-T consensus readings, 115 of 140 annotated lesions (82%) were isointense lesions, 16 (11%) were diffusely paramagnetic lesions, and nine (6%) were paramagnetic rim lesions; based on the 1.5-T consensus readings, 115 (82%) were isointense lesions, 14 (10%) were diffusely paramagnetic lesions, and 11 (8%) were para-magnetic rim lesions. The mean lesion diameter was 11.9 mm for paramagnetic rim lesions versus 6.4 mm for diffusely paramagnetic lesions (p = .006) and 7.8 mm for iso-intense lesions (p = .003). Interrater agreement for lesion classification as a paramagnetic rim lesion was substantial at 1.5 T (κ = 0.65) and 3 T (κ = 0.70). Agreement for paramagnetic rim lesions was also substantial between the consensus readings at the two field strengths (κ = 0.79). CONCLUSION. We show comparable identification of paramagnetic rim lesions at 1.5-T and 3-T MRI with substantial interrater agreement at both field strengths and substantial consensus agreement between the field strengths. CLINICAL IMPACT. Paramagnetic rim lesions may be an emerging marker of chronic neuroinflammation in MS. Their visibility at 1.5 T supports the translational potential of paramagnetic rim lesion identification to more widespread clinical settings, where 1.5-T scanners are prevalent.

Entities:  

Keywords:  1.5 T; 3 T; T2; chronic active lesion; filtered phase; iron rim lesion; multiple sclerosis; paramagnetic rim lesion; susceptibility-weighted imaging

Mesh:

Year:  2021        PMID: 34851712      PMCID: PMC9416872          DOI: 10.2214/AJR.21.26777

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   6.582


  25 in total

1.  Neurodegeneration in multiple sclerosis is a process separate from inflammation: Yes.

Authors:  Céline Louapre; Catherine Lubetzki
Journal:  Mult Scler       Date:  2015-11       Impact factor: 6.312

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.  Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria.

Authors:  Alan J Thompson; Brenda L Banwell; Frederik Barkhof; William M Carroll; Timothy Coetzee; Giancarlo Comi; Jorge Correale; Franz Fazekas; Massimo Filippi; Mark S Freedman; Kazuo Fujihara; Steven L Galetta; Hans Peter Hartung; Ludwig Kappos; Fred D Lublin; Ruth Ann Marrie; Aaron E Miller; David H Miller; Xavier Montalban; Ellen M Mowry; Per Soelberg Sorensen; Mar Tintoré; Anthony L Traboulsee; Maria Trojano; Bernard M J Uitdehaag; Sandra Vukusic; Emmanuelle Waubant; Brian G Weinshenker; Stephen C Reingold; Jeffrey A Cohen
Journal:  Lancet Neurol       Date:  2017-12-21       Impact factor: 44.182

4.  The first step for neuroimaging data analysis: DICOM to NIfTI conversion.

Authors:  Xiangrui Li; Paul S Morgan; John Ashburner; Jolinda Smith; Christopher Rorden
Journal:  J Neurosci Methods       Date:  2016-03-02       Impact factor: 2.390

5.  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

6.  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

7.  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

8.  Paramagnetic Rim Lesions are Specific to Multiple Sclerosis: An International Multicenter 3T MRI Study.

Authors:  Pietro Maggi; Pascal Sati; Govind Nair; Irene C M Cortese; Steven Jacobson; Bryan R Smith; Avindra Nath; Joan Ohayon; Vincent van Pesch; Gaetano Perrotta; Caroline Pot; Marie Théaudin; Vittorio Martinelli; Roberta Scotti; Tianxia Wu; Renaud Du Pasquier; Peter A Calabresi; Massimo Filippi; Daniel S Reich; Martina Absinta
Journal:  Ann Neurol       Date:  2020-09-09       Impact factor: 10.422

9.  Susceptibility contrast in high field MRI of human brain as a function of tissue iron content.

Authors:  Bing Yao; Tie-Qiang Li; Peter van Gelderen; Karin Shmueli; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2008-11-05       Impact factor: 6.556

Review 10.  The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative.

Authors:  Pascal Sati; Jiwon Oh; R Todd Constable; Nikos Evangelou; Charles R G Guttmann; Roland G Henry; Eric C Klawiter; Caterina Mainero; Luca Massacesi; Henry McFarland; Flavia Nelson; Daniel Ontaneda; Alexander Rauscher; William D Rooney; Amal P R Samaraweera; Russell T Shinohara; Raymond A Sobel; Andrew J Solomon; Constantina A Treaba; Jens Wuerfel; Robert Zivadinov; Nancy L Sicotte; Daniel Pelletier; Daniel S Reich
Journal:  Nat Rev Neurol       Date:  2016-11-11       Impact factor: 42.937

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  1 in total

Review 1.  Predictive MRI Biomarkers in MS-A Critical Review.

Authors:  Vlad Eugen Tiu; Iulian Enache; Cristina Aura Panea; Cristina Tiu; Bogdan Ovidiu Popescu
Journal:  Medicina (Kaunas)       Date:  2022-03-03       Impact factor: 2.430

  1 in total

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