Radiologically Isolated Syndrome: 10‐Year Risk Estimate of a Clinical Event

Objective We have previously identified male sex, younger age, and the presence of spinal cord lesions as independent factors that increase the 5‐year risk for evolution from radiologically isolated syndrome (RIS) to multiple sclerosis. Here, we investigate risk factors for the development of a clin...

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Veröffentlicht in:Annals of neurology 2020-08, Vol.88 (2), p.407-417
Hauptverfasser: Lebrun‐Frenay, Christine, Kantarci, Orhun, Siva, Aksel, Sormani, Maria P., Pelletier, Daniel, Okuda, Darin T., Azevedo, Christina, Amato, Maria Pia, Bensa, Caroline, Berger, Eric, Brochet, Bruno, Ciron, Jonathan, Cohen, Mikael, Inglese, Matilde, Keegan, B. Mark, Labauge, Pierre, Laplaud, David‐Axel, Le Page, Emmanuelle, Louapre, Celine, Makhani, Naila, Mathey, Guillaume, Mondot, Lydiane, Montalban, Xavier, Pelletier, Jean, Seze, Jerome, deStefano, Nicola, Thouvenot, Eric, Tintore, Mar, Tutuncuoglu, Melih, Uygunoglu, Ugur, Vermersch, Patrick, Weinshenker, Brian, Zeydan, Burcu
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container_end_page 417
container_issue 2
container_start_page 407
container_title Annals of neurology
container_volume 88
creator Lebrun‐Frenay, Christine
Kantarci, Orhun
Siva, Aksel
Sormani, Maria P.
Pelletier, Daniel
Okuda, Darin T.
Azevedo, Christina
Amato, Maria Pia
Bensa, Caroline
Berger, Eric
Brochet, Bruno
Ciron, Jonathan
Cohen, Mikael
Inglese, Matilde
Keegan, B. Mark
Labauge, Pierre
Laplaud, David‐Axel
Le Page, Emmanuelle
Louapre, Celine
Makhani, Naila
Mathey, Guillaume
Mondot, Lydiane
Montalban, Xavier
Pelletier, Jean
Seze, Jerome
deStefano, Nicola
Thouvenot, Eric
Tintore, Mar
Tutuncuoglu, Melih
Uygunoglu, Ugur
Vermersch, Patrick
Weinshenker, Brian
Zeydan, Burcu
description Objective We have previously identified male sex, younger age, and the presence of spinal cord lesions as independent factors that increase the 5‐year risk for evolution from radiologically isolated syndrome (RIS) to multiple sclerosis. Here, we investigate risk factors for the development of a clinical event using a 10‐year, multinational, retrospectively identified RIS dataset. Methods RIS subjects were identified according to 2009 RIS criteria and followed longitudinally as part of a worldwide cohort study. We analyzed data from 21 individual databases from 5 different countries. Associations between clinical and magnetic resonance imaging (MRI) characteristics and the risk of developing a first clinical event were determined using multivariate Cox regression models. Results Additional follow‐up data were available in 277 of 451 RIS subjects (86% female). The mean age at RIS diagnosis was 37.2 years (range, 11–74 years), with a median clinical follow‐up of 6.7 years. The cumulative probability of a first clinical event at 10 years was 51.2%. Age, positive cerebrospinal fluid for oligoclonal bands, infratentorial lesions on MRI, and spinal cord lesions, were baseline independent predictors associated with a subsequent clinical event. The presence of gadolinium‐enhanced lesions during follow‐up was also associated with the risk of a seminal event. The reason for MRI and gadolinium‐enhancing lesions at baseline did not influence the risk of a subsequent clinical event. Interpretation Approximately half of all individuals with RIS experience a first clinical event within 10 years of the index MRI. The identification of independent predictors of risk for symptom onset may guide education and clinical management of individuals with RIS. ANN NEUROL 2020;88:407–417.
doi_str_mv 10.1002/ana.25799
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Mark ; Labauge, Pierre ; Laplaud, David‐Axel ; Le Page, Emmanuelle ; Louapre, Celine ; Makhani, Naila ; Mathey, Guillaume ; Mondot, Lydiane ; Montalban, Xavier ; Pelletier, Jean ; Seze, Jerome ; deStefano, Nicola ; Thouvenot, Eric ; Tintore, Mar ; Tutuncuoglu, Melih ; Uygunoglu, Ugur ; Vermersch, Patrick ; Weinshenker, Brian ; Zeydan, Burcu</creator><creatorcontrib>Lebrun‐Frenay, Christine ; Kantarci, Orhun ; Siva, Aksel ; Sormani, Maria P. ; Pelletier, Daniel ; Okuda, Darin T. ; Azevedo, Christina ; Amato, Maria Pia ; Bensa, Caroline ; Berger, Eric ; Brochet, Bruno ; Ciron, Jonathan ; Cohen, Mikael ; Inglese, Matilde ; Keegan, B. Mark ; Labauge, Pierre ; Laplaud, David‐Axel ; Le Page, Emmanuelle ; Louapre, Celine ; Makhani, Naila ; Mathey, Guillaume ; Mondot, Lydiane ; Montalban, Xavier ; Pelletier, Jean ; Seze, Jerome ; deStefano, Nicola ; Thouvenot, Eric ; Tintore, Mar ; Tutuncuoglu, Melih ; Uygunoglu, Ugur ; Vermersch, Patrick ; Weinshenker, Brian ; Zeydan, Burcu ; 10-year RISC study group on behalf of SFSEP, OFSEP ; for the 10‐year RISC study group on behalf of SFSEP, OFSEP</creatorcontrib><description>Objective We have previously identified male sex, younger age, and the presence of spinal cord lesions as independent factors that increase the 5‐year risk for evolution from radiologically isolated syndrome (RIS) to multiple sclerosis. Here, we investigate risk factors for the development of a clinical event using a 10‐year, multinational, retrospectively identified RIS dataset. Methods RIS subjects were identified according to 2009 RIS criteria and followed longitudinally as part of a worldwide cohort study. We analyzed data from 21 individual databases from 5 different countries. Associations between clinical and magnetic resonance imaging (MRI) characteristics and the risk of developing a first clinical event were determined using multivariate Cox regression models. Results Additional follow‐up data were available in 277 of 451 RIS subjects (86% female). The mean age at RIS diagnosis was 37.2 years (range, 11–74 years), with a median clinical follow‐up of 6.7 years. The cumulative probability of a first clinical event at 10 years was 51.2%. Age, positive cerebrospinal fluid for oligoclonal bands, infratentorial lesions on MRI, and spinal cord lesions, were baseline independent predictors associated with a subsequent clinical event. The presence of gadolinium‐enhanced lesions during follow‐up was also associated with the risk of a seminal event. The reason for MRI and gadolinium‐enhancing lesions at baseline did not influence the risk of a subsequent clinical event. Interpretation Approximately half of all individuals with RIS experience a first clinical event within 10 years of the index MRI. The identification of independent predictors of risk for symptom onset may guide education and clinical management of individuals with RIS. ANN NEUROL 2020;88:407–417.</description><identifier>ISSN: 0364-5134</identifier><identifier>EISSN: 1531-8249</identifier><identifier>DOI: 10.1002/ana.25799</identifier><identifier>PMID: 32500558</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley &amp; Sons, Inc</publisher><subject>Adolescent ; Adult ; Age ; Aged ; Bioengineering ; Cerebrospinal fluid ; Child ; Cognitive science ; Demyelinating Diseases ; Demyelinating Diseases - diagnostic imaging ; Demyelinating Diseases - physiopathology ; Disease Progression ; Female ; Gadolinium ; Humans ; Identification methods ; Imaging ; Lesions ; Life Sciences ; Magnetic Resonance Imaging ; Magnetic Resonance Imaging - trends ; Male ; Middle Aged ; Multiple Sclerosis ; Multiple Sclerosis - diagnostic imaging ; Multiple Sclerosis - physiopathology ; Neuroscience ; Regression analysis ; Regression models ; Risk analysis ; Risk Factors ; Spinal cord ; Statistical analysis ; Time Factors ; Young Adult</subject><ispartof>Annals of neurology, 2020-08, Vol.88 (2), p.407-417</ispartof><rights>2020 American Neurological Association</rights><rights>2020 American Neurological Association.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3029-63b7e916bd9afe5603f18ec47df7add11397b3fb935c10ac71007c6384a935803</citedby><cites>FETCH-LOGICAL-c3029-63b7e916bd9afe5603f18ec47df7add11397b3fb935c10ac71007c6384a935803</cites><orcidid>0000-0001-6892-104X ; 0000-0002-6499-1523 ; 0000-0002-3713-2416 ; 0000-0001-7038-8133 ; 0000-0003-3824-2796 ; 0000-0001-6113-6938 ; 0000-0002-6396-3264 ; 0000-0002-3985-1297 ; 0000-0003-0997-8817 ; 0000-0002-3386-6308 ; 0000-0001-7759-8555 ; 0000-0002-2325-130X ; 0000-0001-9730-7567 ; 0000-0001-8671-7747</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fana.25799$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fana.25799$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32500558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.umontpellier.fr/hal-03598270$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lebrun‐Frenay, Christine</creatorcontrib><creatorcontrib>Kantarci, Orhun</creatorcontrib><creatorcontrib>Siva, Aksel</creatorcontrib><creatorcontrib>Sormani, Maria P.</creatorcontrib><creatorcontrib>Pelletier, Daniel</creatorcontrib><creatorcontrib>Okuda, Darin T.</creatorcontrib><creatorcontrib>Azevedo, Christina</creatorcontrib><creatorcontrib>Amato, Maria Pia</creatorcontrib><creatorcontrib>Bensa, Caroline</creatorcontrib><creatorcontrib>Berger, Eric</creatorcontrib><creatorcontrib>Brochet, Bruno</creatorcontrib><creatorcontrib>Ciron, Jonathan</creatorcontrib><creatorcontrib>Cohen, Mikael</creatorcontrib><creatorcontrib>Inglese, Matilde</creatorcontrib><creatorcontrib>Keegan, B. Mark</creatorcontrib><creatorcontrib>Labauge, Pierre</creatorcontrib><creatorcontrib>Laplaud, David‐Axel</creatorcontrib><creatorcontrib>Le Page, Emmanuelle</creatorcontrib><creatorcontrib>Louapre, Celine</creatorcontrib><creatorcontrib>Makhani, Naila</creatorcontrib><creatorcontrib>Mathey, Guillaume</creatorcontrib><creatorcontrib>Mondot, Lydiane</creatorcontrib><creatorcontrib>Montalban, Xavier</creatorcontrib><creatorcontrib>Pelletier, Jean</creatorcontrib><creatorcontrib>Seze, Jerome</creatorcontrib><creatorcontrib>deStefano, Nicola</creatorcontrib><creatorcontrib>Thouvenot, Eric</creatorcontrib><creatorcontrib>Tintore, Mar</creatorcontrib><creatorcontrib>Tutuncuoglu, Melih</creatorcontrib><creatorcontrib>Uygunoglu, Ugur</creatorcontrib><creatorcontrib>Vermersch, Patrick</creatorcontrib><creatorcontrib>Weinshenker, Brian</creatorcontrib><creatorcontrib>Zeydan, Burcu</creatorcontrib><creatorcontrib>10-year RISC study group on behalf of SFSEP, OFSEP</creatorcontrib><creatorcontrib>for the 10‐year RISC study group on behalf of SFSEP, OFSEP</creatorcontrib><title>Radiologically Isolated Syndrome: 10‐Year Risk Estimate of a Clinical Event</title><title>Annals of neurology</title><addtitle>Ann Neurol</addtitle><description>Objective We have previously identified male sex, younger age, and the presence of spinal cord lesions as independent factors that increase the 5‐year risk for evolution from radiologically isolated syndrome (RIS) to multiple sclerosis. Here, we investigate risk factors for the development of a clinical event using a 10‐year, multinational, retrospectively identified RIS dataset. Methods RIS subjects were identified according to 2009 RIS criteria and followed longitudinally as part of a worldwide cohort study. We analyzed data from 21 individual databases from 5 different countries. Associations between clinical and magnetic resonance imaging (MRI) characteristics and the risk of developing a first clinical event were determined using multivariate Cox regression models. Results Additional follow‐up data were available in 277 of 451 RIS subjects (86% female). The mean age at RIS diagnosis was 37.2 years (range, 11–74 years), with a median clinical follow‐up of 6.7 years. The cumulative probability of a first clinical event at 10 years was 51.2%. Age, positive cerebrospinal fluid for oligoclonal bands, infratentorial lesions on MRI, and spinal cord lesions, were baseline independent predictors associated with a subsequent clinical event. The presence of gadolinium‐enhanced lesions during follow‐up was also associated with the risk of a seminal event. The reason for MRI and gadolinium‐enhancing lesions at baseline did not influence the risk of a subsequent clinical event. Interpretation Approximately half of all individuals with RIS experience a first clinical event within 10 years of the index MRI. The identification of independent predictors of risk for symptom onset may guide education and clinical management of individuals with RIS. 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Mark ; Labauge, Pierre ; Laplaud, David‐Axel ; Le Page, Emmanuelle ; Louapre, Celine ; Makhani, Naila ; Mathey, Guillaume ; Mondot, Lydiane ; Montalban, Xavier ; Pelletier, Jean ; Seze, Jerome ; deStefano, Nicola ; Thouvenot, Eric ; Tintore, Mar ; Tutuncuoglu, Melih ; Uygunoglu, Ugur ; Vermersch, Patrick ; Weinshenker, Brian ; Zeydan, Burcu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3029-63b7e916bd9afe5603f18ec47df7add11397b3fb935c10ac71007c6384a935803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Bioengineering</topic><topic>Cerebrospinal fluid</topic><topic>Child</topic><topic>Cognitive science</topic><topic>Demyelinating Diseases</topic><topic>Demyelinating Diseases - diagnostic imaging</topic><topic>Demyelinating Diseases - physiopathology</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Gadolinium</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Imaging</topic><topic>Lesions</topic><topic>Life Sciences</topic><topic>Magnetic Resonance Imaging</topic><topic>Magnetic Resonance Imaging - trends</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multiple Sclerosis</topic><topic>Multiple Sclerosis - diagnostic imaging</topic><topic>Multiple Sclerosis - physiopathology</topic><topic>Neuroscience</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Spinal cord</topic><topic>Statistical analysis</topic><topic>Time Factors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lebrun‐Frenay, Christine</creatorcontrib><creatorcontrib>Kantarci, Orhun</creatorcontrib><creatorcontrib>Siva, Aksel</creatorcontrib><creatorcontrib>Sormani, Maria P.</creatorcontrib><creatorcontrib>Pelletier, Daniel</creatorcontrib><creatorcontrib>Okuda, Darin T.</creatorcontrib><creatorcontrib>Azevedo, Christina</creatorcontrib><creatorcontrib>Amato, Maria Pia</creatorcontrib><creatorcontrib>Bensa, Caroline</creatorcontrib><creatorcontrib>Berger, Eric</creatorcontrib><creatorcontrib>Brochet, Bruno</creatorcontrib><creatorcontrib>Ciron, Jonathan</creatorcontrib><creatorcontrib>Cohen, Mikael</creatorcontrib><creatorcontrib>Inglese, Matilde</creatorcontrib><creatorcontrib>Keegan, B. Mark</creatorcontrib><creatorcontrib>Labauge, Pierre</creatorcontrib><creatorcontrib>Laplaud, David‐Axel</creatorcontrib><creatorcontrib>Le Page, Emmanuelle</creatorcontrib><creatorcontrib>Louapre, Celine</creatorcontrib><creatorcontrib>Makhani, Naila</creatorcontrib><creatorcontrib>Mathey, Guillaume</creatorcontrib><creatorcontrib>Mondot, Lydiane</creatorcontrib><creatorcontrib>Montalban, Xavier</creatorcontrib><creatorcontrib>Pelletier, Jean</creatorcontrib><creatorcontrib>Seze, Jerome</creatorcontrib><creatorcontrib>deStefano, Nicola</creatorcontrib><creatorcontrib>Thouvenot, Eric</creatorcontrib><creatorcontrib>Tintore, Mar</creatorcontrib><creatorcontrib>Tutuncuoglu, Melih</creatorcontrib><creatorcontrib>Uygunoglu, Ugur</creatorcontrib><creatorcontrib>Vermersch, Patrick</creatorcontrib><creatorcontrib>Weinshenker, Brian</creatorcontrib><creatorcontrib>Zeydan, Burcu</creatorcontrib><creatorcontrib>10-year RISC study group on behalf of SFSEP, OFSEP</creatorcontrib><creatorcontrib>for the 10‐year RISC study group on behalf of SFSEP, OFSEP</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Annals of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lebrun‐Frenay, Christine</au><au>Kantarci, Orhun</au><au>Siva, Aksel</au><au>Sormani, Maria P.</au><au>Pelletier, Daniel</au><au>Okuda, Darin T.</au><au>Azevedo, Christina</au><au>Amato, Maria Pia</au><au>Bensa, Caroline</au><au>Berger, Eric</au><au>Brochet, Bruno</au><au>Ciron, Jonathan</au><au>Cohen, Mikael</au><au>Inglese, Matilde</au><au>Keegan, B. Mark</au><au>Labauge, Pierre</au><au>Laplaud, David‐Axel</au><au>Le Page, Emmanuelle</au><au>Louapre, Celine</au><au>Makhani, Naila</au><au>Mathey, Guillaume</au><au>Mondot, Lydiane</au><au>Montalban, Xavier</au><au>Pelletier, Jean</au><au>Seze, Jerome</au><au>deStefano, Nicola</au><au>Thouvenot, Eric</au><au>Tintore, Mar</au><au>Tutuncuoglu, Melih</au><au>Uygunoglu, Ugur</au><au>Vermersch, Patrick</au><au>Weinshenker, Brian</au><au>Zeydan, Burcu</au><aucorp>10-year RISC study group on behalf of SFSEP, OFSEP</aucorp><aucorp>for the 10‐year RISC study group on behalf of SFSEP, OFSEP</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Radiologically Isolated Syndrome: 10‐Year Risk Estimate of a Clinical Event</atitle><jtitle>Annals of neurology</jtitle><addtitle>Ann Neurol</addtitle><date>2020-08</date><risdate>2020</risdate><volume>88</volume><issue>2</issue><spage>407</spage><epage>417</epage><pages>407-417</pages><issn>0364-5134</issn><eissn>1531-8249</eissn><abstract>Objective We have previously identified male sex, younger age, and the presence of spinal cord lesions as independent factors that increase the 5‐year risk for evolution from radiologically isolated syndrome (RIS) to multiple sclerosis. Here, we investigate risk factors for the development of a clinical event using a 10‐year, multinational, retrospectively identified RIS dataset. Methods RIS subjects were identified according to 2009 RIS criteria and followed longitudinally as part of a worldwide cohort study. We analyzed data from 21 individual databases from 5 different countries. Associations between clinical and magnetic resonance imaging (MRI) characteristics and the risk of developing a first clinical event were determined using multivariate Cox regression models. Results Additional follow‐up data were available in 277 of 451 RIS subjects (86% female). The mean age at RIS diagnosis was 37.2 years (range, 11–74 years), with a median clinical follow‐up of 6.7 years. The cumulative probability of a first clinical event at 10 years was 51.2%. Age, positive cerebrospinal fluid for oligoclonal bands, infratentorial lesions on MRI, and spinal cord lesions, were baseline independent predictors associated with a subsequent clinical event. The presence of gadolinium‐enhanced lesions during follow‐up was also associated with the risk of a seminal event. The reason for MRI and gadolinium‐enhancing lesions at baseline did not influence the risk of a subsequent clinical event. Interpretation Approximately half of all individuals with RIS experience a first clinical event within 10 years of the index MRI. The identification of independent predictors of risk for symptom onset may guide education and clinical management of individuals with RIS. ANN NEUROL 2020;88:407–417.</abstract><cop>Hoboken, USA</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>32500558</pmid><doi>10.1002/ana.25799</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-6892-104X</orcidid><orcidid>https://orcid.org/0000-0002-6499-1523</orcidid><orcidid>https://orcid.org/0000-0002-3713-2416</orcidid><orcidid>https://orcid.org/0000-0001-7038-8133</orcidid><orcidid>https://orcid.org/0000-0003-3824-2796</orcidid><orcidid>https://orcid.org/0000-0001-6113-6938</orcidid><orcidid>https://orcid.org/0000-0002-6396-3264</orcidid><orcidid>https://orcid.org/0000-0002-3985-1297</orcidid><orcidid>https://orcid.org/0000-0003-0997-8817</orcidid><orcidid>https://orcid.org/0000-0002-3386-6308</orcidid><orcidid>https://orcid.org/0000-0001-7759-8555</orcidid><orcidid>https://orcid.org/0000-0002-2325-130X</orcidid><orcidid>https://orcid.org/0000-0001-9730-7567</orcidid><orcidid>https://orcid.org/0000-0001-8671-7747</orcidid></addata></record>
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identifier ISSN: 0364-5134
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issn 0364-5134
1531-8249
language eng
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adolescent
Adult
Age
Aged
Bioengineering
Cerebrospinal fluid
Child
Cognitive science
Demyelinating Diseases
Demyelinating Diseases - diagnostic imaging
Demyelinating Diseases - physiopathology
Disease Progression
Female
Gadolinium
Humans
Identification methods
Imaging
Lesions
Life Sciences
Magnetic Resonance Imaging
Magnetic Resonance Imaging - trends
Male
Middle Aged
Multiple Sclerosis
Multiple Sclerosis - diagnostic imaging
Multiple Sclerosis - physiopathology
Neuroscience
Regression analysis
Regression models
Risk analysis
Risk Factors
Spinal cord
Statistical analysis
Time Factors
Young Adult
title Radiologically Isolated Syndrome: 10‐Year Risk Estimate of a Clinical Event
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