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Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis

OBJECTIVE: To improve the characterization of asymptomatic subjects with brain magnetic resonance imaging (MRI) abnormalities highly suggestive of multiple sclerosis (MS), a condition named as “radiologically isolated syndrome” (RIS). METHODS: Quantitative MRI metrics such as brain volumes and magne...

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Autores principales: De Stefano, Nicola, Stromillo, Maria Laura, Rossi, Francesca, Battaglini, Marco, Giorgio, Antonio, Portaccio, Emilio, Hakiki, Bahia, Malentacchi, Gianmichele, Gasperini, Claudio, Santangelo, Mario, Bartolozzi, Maria Letizia, Sormani, Maria Pia, Federico, Antonio, Amato, Maria Pia
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3084867/
https://www.ncbi.nlm.nih.gov/pubmed/21559385
http://dx.doi.org/10.1371/journal.pone.0019452
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author De Stefano, Nicola
Stromillo, Maria Laura
Rossi, Francesca
Battaglini, Marco
Giorgio, Antonio
Portaccio, Emilio
Hakiki, Bahia
Malentacchi, Gianmichele
Gasperini, Claudio
Santangelo, Mario
Bartolozzi, Maria Letizia
Sormani, Maria Pia
Federico, Antonio
Amato, Maria Pia
author_facet De Stefano, Nicola
Stromillo, Maria Laura
Rossi, Francesca
Battaglini, Marco
Giorgio, Antonio
Portaccio, Emilio
Hakiki, Bahia
Malentacchi, Gianmichele
Gasperini, Claudio
Santangelo, Mario
Bartolozzi, Maria Letizia
Sormani, Maria Pia
Federico, Antonio
Amato, Maria Pia
author_sort De Stefano, Nicola
collection PubMed
description OBJECTIVE: To improve the characterization of asymptomatic subjects with brain magnetic resonance imaging (MRI) abnormalities highly suggestive of multiple sclerosis (MS), a condition named as “radiologically isolated syndrome” (RIS). METHODS: Quantitative MRI metrics such as brain volumes and magnetization transfer (MT) were assessed in 19 subjects previously classified as RIS, 20 demographically-matched relapsing-remitting MS (RRMS) patients and 20 healthy controls (HC). Specific measures were: white matter (WM) lesion volumes (LV), total and regional brain volumes, and MT ratio (MTr) in lesions, normal-appearing WM (NAWM) and cortex. RESULTS: LV was similar in RIS and RRMS, without differences in distribution and frequency at lesion mapping. Brain volumes were similarly lower in RRMS and RIS than in HC (p<0.001). Lesional-MTr was lower in RRMS than in RIS (p = 0.048); NAWM-MTr and cortical-MTr were similar in RIS and HC and lower (p<0.01) in RRMS. These values were particularly lower in RRMS than in RIS in the sensorimotor and memory networks. A multivariate logistic regression analysis showed that 13/19 RIS had ≥70% probability of being classified as RRMS on the basis of their brain volume and lesional-MTr values. CONCLUSIONS: Macroscopic brain damage was similar in RIS and RRMS. However, the subtle tissue damage detected by MTr was milder in RIS than in RRMS in clinically relevant brain regions, suggesting an explanation for the lack of clinical manifestations of subjects with RIS. This new approach could be useful for narrowing down the RIS individuals with a high risk of progression to MS.
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spelling pubmed-30848672011-05-10 Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis De Stefano, Nicola Stromillo, Maria Laura Rossi, Francesca Battaglini, Marco Giorgio, Antonio Portaccio, Emilio Hakiki, Bahia Malentacchi, Gianmichele Gasperini, Claudio Santangelo, Mario Bartolozzi, Maria Letizia Sormani, Maria Pia Federico, Antonio Amato, Maria Pia PLoS One Research Article OBJECTIVE: To improve the characterization of asymptomatic subjects with brain magnetic resonance imaging (MRI) abnormalities highly suggestive of multiple sclerosis (MS), a condition named as “radiologically isolated syndrome” (RIS). METHODS: Quantitative MRI metrics such as brain volumes and magnetization transfer (MT) were assessed in 19 subjects previously classified as RIS, 20 demographically-matched relapsing-remitting MS (RRMS) patients and 20 healthy controls (HC). Specific measures were: white matter (WM) lesion volumes (LV), total and regional brain volumes, and MT ratio (MTr) in lesions, normal-appearing WM (NAWM) and cortex. RESULTS: LV was similar in RIS and RRMS, without differences in distribution and frequency at lesion mapping. Brain volumes were similarly lower in RRMS and RIS than in HC (p<0.001). Lesional-MTr was lower in RRMS than in RIS (p = 0.048); NAWM-MTr and cortical-MTr were similar in RIS and HC and lower (p<0.01) in RRMS. These values were particularly lower in RRMS than in RIS in the sensorimotor and memory networks. A multivariate logistic regression analysis showed that 13/19 RIS had ≥70% probability of being classified as RRMS on the basis of their brain volume and lesional-MTr values. CONCLUSIONS: Macroscopic brain damage was similar in RIS and RRMS. However, the subtle tissue damage detected by MTr was milder in RIS than in RRMS in clinically relevant brain regions, suggesting an explanation for the lack of clinical manifestations of subjects with RIS. This new approach could be useful for narrowing down the RIS individuals with a high risk of progression to MS. Public Library of Science 2011-04-29 /pmc/articles/PMC3084867/ /pubmed/21559385 http://dx.doi.org/10.1371/journal.pone.0019452 Text en De Stefano et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
De Stefano, Nicola
Stromillo, Maria Laura
Rossi, Francesca
Battaglini, Marco
Giorgio, Antonio
Portaccio, Emilio
Hakiki, Bahia
Malentacchi, Gianmichele
Gasperini, Claudio
Santangelo, Mario
Bartolozzi, Maria Letizia
Sormani, Maria Pia
Federico, Antonio
Amato, Maria Pia
Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis
title Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis
title_full Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis
title_fullStr Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis
title_full_unstemmed Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis
title_short Improving the Characterization of Radiologically Isolated Syndrome Suggestive of Multiple Sclerosis
title_sort improving the characterization of radiologically isolated syndrome suggestive of multiple sclerosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3084867/
https://www.ncbi.nlm.nih.gov/pubmed/21559385
http://dx.doi.org/10.1371/journal.pone.0019452
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