Literature DB >> 28492101

Evaluation of 2016 MAGNIMS MRI criteria for dissemination in space in patients with a clinically isolated syndrome.

Jae-Won Hyun1, So-Young Huh2, Woojun Kim3, Min Su Park4, Suk-Won Ahn5, Joong-Yang Cho6, Byung-Jo Kim7, Sang-Hyun Lee8, Su-Hyun Kim1, Ho Jin Kim1.   

Abstract

OBJECTIVES: We compared validity of 2010 McDonald and newly proposed 2016 Magnetic Resonance Imaging in Multiple Sclerosis (MAGNIMS) criteria for dissemination in space (DIS) in predicting the conversion to clinically definite multiple sclerosis (CDMS) in patients with clinically isolated syndrome (CIS).
METHODS: Between 2006 and 2016, we enrolled 170 patients who had a first clinical event suggestive of multiple sclerosis (MS) from seven referral hospitals in Korea. Patients were classified into two groups based on the main outcome at the last follow-up: CDMS converters, who experienced a second attack, and non-converters.
RESULTS: Of 170 patients with mean follow-up duration of 54 months, 51% converted to CDMS. The sensitivity, specificity, accuracy, and positive and negative predictive values of 2010 McDonald criteria were 70.9%, 63.1%, 67.1%, 66.3%, and 67.9%, and those for 2016 MAGNIMS criteria were 88.4%, 46.4%, 67.7%, 62.8%, and 79.6%, respectively. When we excluded 80 patients who underwent disease-modifying therapy before the second clinical event, the specificity increased to 92.3% and 84.6%, but the sensitivity decreased to 58.8% and 82.4% for 2010 McDonald and 2016 MAGNIMS criteria, respectively.
CONCLUSION: 2016 MAGNIMS magnetic resonance imaging (MRI) criteria for DIS showed higher sensitivity but lower specificity than 2010 McDonald criteria in predicting conversion to CDMS in CIS patients.

Entities:  

Keywords:  MRI; Multiple sclerosis; diagnosis

Mesh:

Year:  2017        PMID: 28492101     DOI: 10.1177/1352458517706744

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  3 in total

1.  Lesion size and shape in central vein sign assessment for multiple sclerosis diagnosis: An in vivo and postmortem MRI study.

Authors:  Omar Al-Louzi; Sargis Manukyan; Maxime Donadieu; Martina Absinta; Vijay Letchuman; Brent Calabresi; Parth Desai; Erin S Beck; Snehashis Roy; Joan Ohayon; Dzung L Pham; Anish Thomas; Steven Jacobson; Irene Cortese; Pavan K Auluck; Govind Nair; Pascal Sati; Daniel S Reich
Journal:  Mult Scler       Date:  2022-06-08       Impact factor: 5.855

2.  Applicability of McDonald 2010 and Magnetic Resonance Imaging in Multiple Sclerosis (MAGNIMS) 2016 Magnetic Resonance Imaging Criteria for the Diagnosis of Multiple Sclerosis in Sri Lanka.

Authors:  Sujani Madhurika Kodagoda Gamage; Indunil Wijeweera; Priyangi Wijesinghe; Sanjaya Bandara Adikari; Katharina Fink; Herath Mudiyanselage Ajith Sominanda
Journal:  J Clin Neurol       Date:  2018-05-31       Impact factor: 3.077

3.  Lesion topographies in multiple sclerosis diagnosis: A reappraisal.

Authors:  Georgina Arrambide; Mar Tintore; Cristina Auger; Jordi Río; Joaquín Castilló; Angela Vidal-Jordana; Ingrid Galán; Carlos Nos; Manuel Comabella; Raquel Mitjana; Patricia Mulero; Andrea de Barros; Breogán Rodríguez-Acevedo; Luciana Midaglia; Jaume Sastre-Garriga; Alex Rovira; Xavier Montalban
Journal:  Neurology       Date:  2017-11-03       Impact factor: 9.910

  3 in total

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