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2,118 results on '"Filippi A."'

1. Pharmacogenomics of clinical response to Natalizumab in multiple sclerosis: a genome-wide multi-centric association study

Author

Clarelli, Ferdinando, Corona, Andrea, Pääkkönen, Kimmo, Sorosina, Melissa, Zollo, Alen, Piehl, Fredrik, Olsson, Tomas, Stridh, Pernilla, Jagodic, Maja, Hemmer, Bernhard, Gasperi, Christiane, Harroud, Adil, Shchetynsky, Klementy, Mingione, Alessandra, Mascia, Elisabetta, Misra, Kaalindi, Giordano, Antonino, Mazzieri, Maria Laura Terzi, Priori, Alberto, Saarela, Janna, Kockum, Ingrid, Filippi, Massimo, Esposito, Federica, and Boneschi, Filippo Giovanni Martinelli

Published
2024
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3. Progression independent of relapse activity in relapsing multiple sclerosis: impact and relationship with secondary progression

Author

Portaccio, Emilio, Betti, Matteo, De Meo, Ermelinda, Addazio, Ilaria, Pastò, Luisa, Razzolini, Lorenzo, Totaro, Rocco, Spitaleri, Daniele, Lugaresi, Alessandra, Cocco, Eleonora, Onofrj, Marco, Di Palma, Franco, Patti, Francesco, Maimone, Davide, Valentino, Paola, Torri Clerici, Valentina, Protti, Alessandra, Ferraro, Diana, Lus, Giacomo, Maniscalco, Giorgia Teresa, Brescia Morra, Vincenzo, Salemi, Giuseppe, Granella, Franco, Pesci, Ilaria, Bergamaschi, Roberto, Aguglia, Umberto, Vianello, Marika, Simone, Marta, Lepore, Vito, Iaffaldano, Pietro, Comi, Giancarlo, Filippi, Massimo, Trojano, Maria, and Amato, Maria Pia

Published
2024
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4. Regional hippocampal atrophy reflects memory impairment in patients with early relapsing remitting multiple sclerosis

Author

Cortese, Rosa, Battaglini, Marco, Stromillo, Maria Laura, Luchetti, Ludovico, Leoncini, Matteo, Gentile, Giordano, Gasparini, Daniele, Plantone, Domenico, Altieri, Manuela, D’Ambrosio, Alessandro, Gallo, Antonio, Giannì, Costanza, Piervincenzi, Claudia, Pantano, Patrizia, Pagani, Elisabetta, Valsasina, Paola, Preziosa, Paolo, Tedone, Nicolo’, Rocca, Maria Assunta, Filippi, Massimo, and De Stefano, Nicola

Published
2024
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7. Unprescribed cannabinoids and multiple sclerosis: a multicenter, cross-sectional, epidemiological study in Lombardy, Italy

Author

Giossi, Riccardo, Mercenari, Martina, Filippi, Massimo, Zanetta, Chiara, Antozzi, Carlo Giuseppe, Brambilla, Laura, Confalonieri, Paolo, Crisafulli, Sebastiano Giuseppe, Tomas Roldan, Eugenia, Annovazzi, Pietro, Conti, Marta Zaffira, Barrilà, Caterina, Ronzoni, Marco, Grobberio, Monica, Negri, Attilio, Gustavsen, Stefan, and Torri Clerici, Valentina

Published
2024
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10. Late-onset multiple sclerosis: disability trajectories in relapsing–remitting patients of the Italian MS Registry

Author

Lorefice, Lorena, Ferraro, Ottavia Elena, Fenu, Giuseppe, Amato, Maria Pia, Bresciamorra, Vincenzo, Conte, Antonella, De Luca, Giovanna, Ferraro, Diana, Filippi, Massimo, Gazzola, Paola, Iaffaldano, Pietro, Inglese, Matilde, Lus, Giacomo, Marfia, Girolama Alessandra, Patti, Francesco, Pesci, Ilaria, Salemi, Giuseppe, Trojano, Maria, Zaffaroni, Mauro, Monti, Maria Cristina, and Cocco, Eleonora

Published
2024
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14. Evaluation of drivers of treatment switch in relapsing multiple sclerosis: a study from the Italian MS Registry

Author

Iaffaldano, Pietro, Lucisano, Giuseppe, Guerra, Tommaso, Patti, Francesco, Cocco, Eleonora, De Luca, Giovanna, Brescia Morra, Vincenzo, Pozzilli, Carlo, Zaffaroni, Mauro, Ferraro, Diana, Gasperini, Claudio, Salemi, Giuseppe, Bergamaschi, Roberto, Lus, Giacomo, Inglese, Matilde, Romano, Silvia, Bellantonio, Paolo, Di Monte, Elisabetta, Maniscalco, Giorgia Teresa, Conte, Antonella, Lugaresi, Alessandra, Vianello, Marika, Torri Clerici, Valentina Liliana Adriana, Di Sapio, Alessia, Pesci, Ilaria, Granella, Franco, Totaro, Rocco, Marfia, Girolama Alessandra, Danni, Maura Chiara, Cavalla, Paola, Valentino, Paola, Aguglia, Umberto, Montepietra, Sara, Ferraro, Elisabetta, Protti, Alessandra, Spitaleri, Daniele, Avolio, Carlo, De Riz, Milena, Maimone, Davide, Cavaletti, Guido, Gazzola, Paola, Tedeschi, Gioacchino, Sessa, Maria, Rovaris, Marco, Di Palma, Franco, Gatto, Maurizia, Cargnelutti, Daniela, De Robertis̄, Francesca, Logullo, Francesco Ottavio, Rini, Augusto, Meucci, Giuseppe, Ardito, Bonaventura, Banfi, Paola, Nasuelli, Davide, Paolicelli, Damiano, Rocca, Maria Assunta, Portaccio, Emilio, Chisari, Clara Grazia, Fenu, Giuseppe, Onofrj, Marco, Carotenuto, Antonio, Ruggieri, Serena, Tortorella, Carla, Ragonese, Paolo, Nica, Mihaela, Amato, Maria Pia, Filippi, Massimo, and Trojano, Maria

Published
2024
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18. Effectiveness of Ocrelizumab in Primary Progressive Multiple Sclerosis: a Multicenter, Retrospective, Real-world Study (OPPORTUNITY)

Author

Chisari, Clara G., Bianco, Assunta, Brescia Morra, Vincenzo, Calabrese, Massimiliano, Capone, Fioravante, Cavalla, Paola, Chiavazza, Carlotta, Comi, Cristoforo, Danni, Maura, Filippi, Massimo, Iaffaldano, Pietro, Lanzillo, Roberta, Lo Fermo, Salvatore, Lucisano, Alessandra, Lugaresi, Alessandra, Lus, Giacomo, Marfia, Gerolama Alessandra, Marinelli, Fabiana, Mirabella, Massimiliano, Moiola, Lucia, Perin, Chiara, Realmuto, Sabrina, Toscano, Simona, Trojano, Maria, Vecchio, Domizia, and Patti, Francesco

Published
2023
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19. Effectiveness of teriflunomide on No Evidence of Disease Activity and cognition in relapsing remitting multiple sclerosis: results of the NEDA3PLUS study

Author

Amato, Maria Pia, Bergamaschi, Roberto, Centonze, Diego, Mirabella, Massimiliano, Marfia, Girolama Alessandra, Totaro, Rocco, Lus, Giacomo, Brescia Morra, Vincenzo, Aguglia, Umberto, Comi, Cristoforo, Cavalla, Paola, Zaffaroni, Mauro, Rovaris, Marco, Grimaldi, Luigi Maria, Leoni, Stefania, Malucchi, Simona, Baldi, Eleonora, Romano, Marcello, Falcini, Mario, Perini, Paola, Assetta, Maurizio, Portaccio, Emilio, Sommacal, Sergio, Olivieri, Nunzio, Parodi, Franco, Todaro, Daniele Santo, Grassivaro, Nicoletta, Farina, Alberto, Mondino, Margaret Mary, Filippi, Massimo, and Trojano, Maria

Published
2023
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20. Signs and symptoms of COVID‐19 in patients with multiple sclerosis

Author

Schiavetti, Irene, Carmisciano, Luca, Ponzano, Marta, Cordioli, Cinzia, Cocco, Eleonora, Marfia, Girolama Alessandra, Inglese, Matilde, Filippi, Massimo, Radaelli, Marta, Bergamaschi, Roberto, Immovilli, Paolo, Capobianco, Marco, De Rossi, Nicola, Brichetto, Giampaolo, Scandellari, Cinzia, Cavalla, Paola, Pesci, Ilaria, Confalonieri, Paolo, Perini, Paola, Trojano, Maria, Lanzillo, Roberta, Tedeschi, Gioacchino, Comi, Giancarlo, Battaglia, Mario Alberto, Patti, Francesco, Salvetti, Marco, Sormani, Maria Pia, Group, MuSC‐19 Study, Abbadessa, Gianmarco, Aguglia, Umberto, Allegorico, Lia, Allegri, Beatrice Maria Rossi, Alteno, Anastasia, Amato, Maria Pia, Annovazzi, Pietro, Antozzi, Carlo, Appendino, Lucia, Arena, Sebastiano, Baione, Viola, Balgera, Roberto, Barcella, Valeria, Baroncini, Damiano, Barrilà, Caterina, Bellacosa, Alessandra, Bellucci, Gianmarco, Bergamaschi, Valeria, Bezzini, Daiana, Biolzi, Beatrice, Bisecco, Alvino, Bonavita, Simona, Borriello, Giovanna, Bosa, Chiara, Bosco, Antonio, Bovis, Francesca, Bozzali, Marco, Brambilla, Laura, Morra, Vincenzo Brescia, Buccafusca, Maria, Bucciantini, Elisabetta, Bucello, Sebastiano, Buscarinu, Maria Chiara, Cabboi, Maria Paola, Calabrese, Massimiliano, Calabria, Francesca, Caleri, Francesca, Camilli, Federico, Caniatti, Luisa Maria, Cantello, Roberto, Capra, Ruggero, Capuano, Rocco, Carta, Patrizia, Celani, Maria Grazia, Cellerino, Maria, Cerqua, Raffaella, Chisari, Clara, Clerici, Raffaella, Clerico, Marinella, Cola, Gaia, Conte, Antonella, Conti, Marta Zaffira, Cordano, Christian, Cordera, Susanna, Corea, Francesco, Correale, Claudio, Cottone, Salvatore, Crescenzo, Francesco, Curti, Erica, d’Ambrosio, Alessandro, D’Amico, Emanuele, Danni, Maura Chiara, d’Arma, Alessia, Dattola, Vincenzo, de Biase, Stefano, De Luca, Giovanna, De Mercanti, Stefania Federica, De Mitri, Paolo, De Stefano, Nicola, Della Cava, Fabio Maria, Della Cava, Marco, and Di Lemme, Sonia

Subjects
Neurosciences, Multiple Sclerosis, Brain Disorders, Pain Research, Neurodegenerative, Good Health and Well Being, Humans, Aged, COVID-19, Ageusia, SARS-CoV-2, Anosmia, MuSC-19 Study Group, demyelinating diseases, disease-modifying treatment, multiple sclerosis, neurological disorders, Clinical Sciences, Neurology & Neurosurgery
Abstract

Background and purposeClinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation.MethodLogistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number.ResultsFrom March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p = 0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p

Published
2022

23. The effect of air pollution on COVID‐19 severity in a sample of patients with multiple sclerosis

Author

Bergamaschi, Roberto, Ponzano, Marta, Schiavetti, Irene, Carmisciano, Luca, Cordioli, Cinzia, Filippi, Massimo, Radaelli, Marta, Immovilli, Paolo, Capobianco, Marco, De Rossi, Nicola, Brichetto, Giampaolo, Cocco, Eleonora, Scandellari, Cinzia, Cavalla, Paola, Pesci, Ilaria, Zito, Antonio, Confalonieri, Paolo, Marfia, Girolama Alessandra, Perini, Paola, Inglese, Matilde, Trojano, Maria, Morra, Vincenzo Brescia, Pisoni, Enrico, Tedeschi, Gioacchino, Comi, Giancarlo, Battaglia, Mario Alberto, Patti, Francesco, Salvetti, Marco, Sormani, Maria Pia, Abbadessa, Gianmarco, Aguglia, Umberto, Allegorico, Lia, Allegri, Rossi Beatrice Maria, Alteno, Anastasia, Amato, Maria Pia, Annovazzi, Pietro, Antozzi, Carlo, Appendino, Lucia, Arena, Sebastiano, Baione, Viola, Balgera, Roberto, Barcella, Valeria, Baroncini, Damiano, Barrilà, Caterina, Battaglia, Mario A, Bellacosa, Alessandra, Bellucci, Gianmarco, Bergamaschi, Valeria, Bezzini, Daiana, Biolzi, Beatrice, Bisecco, Alvino, Bonavita, Simona, Borriello, Giovanna, Bosa, Chiara, Bosco, Antonio, Bovis, Francesca, Bozzali, Marco, Brambilla, Laura, Brescia, Morra Vincenzo, Buccafusca, Maria, Bucciantini, Elisabetta, Bucello, Sebastiano, Buscarinu, Maria Chiara, Cabboi, Maria Paola, Calabrese, Massimiliano, Calabria, Francesca, Caleri, Francesca, Camilli, Federico, Caniatti, Luisa Maria, Cantello, Roberto, Capra, Ruggero, Capuano, Rocco, Carta, Patrizia, Celani, Maria Grazia, Cellerino, Maria, Cerqua, Raffaella, Chisari, Clara, Clerici, Raffaella, Clerico, Marinella, Cola, Gaia, Conte, Antonella, Conti, Marta Zaffira, Cordano, Christian, Cordera, Susanna, Corea, Francesco, Correale, Claudio, Cottone, Salvatore, Crescenzo, Francesco, Curti, Erica, d'Ambrosio, Alessandro, and D'Amico, Emanuele

Subjects
Clinical Research, Neurosciences, Multiple Sclerosis, Brain Disorders, Autoimmune Disease, Neurodegenerative, Climate-Related Exposures and Conditions, Good Health and Well Being, Sustainable Cities and Communities, Air Pollution, COVID-19, Humans, Particulate Matter, SARS-CoV-2, MuSC-19 study group, air pollution, coronavirus, multiple sclerosis, Clinical Sciences, Neurology & Neurosurgery
Abstract

Background and purposeSome studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5 µg/m3 (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS.MethodsData were retrieved from an Italian web-based platform (MuSC-19) which includes PwMS with COVID-19. PM2.5 2016-2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID-19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID-19 severity.ResultsIn all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID-19 course (odds ratio 1.90; p = 0.009).ConclusionsEven if several other factors explain the unfavourable course of COVID-19 in PwMS, the role of air pollutants must be considered and further investigated.

Published
2022

25. Abnormal thalamic functional connectivity correlates with cardiorespiratory fitness and physical activity in progressive multiple sclerosis

Author

Romanò, Francesco, Motl, Robert W., Valsasina, Paola, Amato, Maria Pia, Brichetto, Giampaolo, Bruschi, Nicolò, Chataway, Jeremy, Chiaravalloti, Nancy D., Cutter, Gary, Dalgas, Ulrik, DeLuca, John, Farrell, Rachel, Feys, Peter, Freeman, Jennifer, Inglese, Matilde, Meza, Cecilia, Salter, Amber, Sandroff, Brian M., Feinstein, Anthony, Rocca, Maria A., and Filippi, Massimo

Published
2023
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26. Profiling cognitive–motor interference in a large sample of persons with progressive multiple sclerosis and impaired processing speed: results from the CogEx study

Author

Veldkamp, R., D’hooge, M., Sandroff, B. M., DeLuca, J., Kos, D., Salter, A., Feinstein, A., Amato, M. P., Brichetto, G., Chataway, J., Farrell, R., Chiaravalloti, N. D., Dalgas, U., Filippi, M., Freeman, J., Motl, R. W., Meza, C., Inglese, M., Rocca, M. A., Cutter, G., and Feys, P.

Published
2023
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29. Structural and functional magnetic resonance imaging correlates of fatigue and dual-task performance in progressive multiple sclerosis

Author

Preziosa, Paolo, Rocca, Maria A., Pagani, Elisabetta, Valsasina, Paola, Amato, Maria Pia, Brichetto, Giampaolo, Bruschi, Nicolò, Chataway, Jeremy, Chiaravalloti, Nancy D., Cutter, Gary, Dalgas, Ulrik, DeLuca, John, Farrell, Rachel, Feys, Peter, Freeman, Jennifer, Inglese, Matilde, Meani, Alessandro, Meza, Cecilia, Motl, Robert W., Salter, Amber, Sandroff, Brian M., Feinstein, Anthony, and Filippi, Massimo

Published
2023
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31. Resting-state functional MRI in multicenter studies on multiple sclerosis: a report on raw data quality and functional connectivity features from the Italian Neuroimaging Network Initiative

Author

De Rosa, Alessandro Pasquale, Esposito, Fabrizio, Valsasina, Paola, d’Ambrosio, Alessandro, Bisecco, Alvino, Rocca, Maria A., Tommasin, Silvia, Marzi, Chiara, De Stefano, Nicola, Battaglini, Marco, Pantano, Patrizia, Cirillo, Mario, Tedeschi, Gioacchino, Filippi, Massimo, and Gallo, Antonio

Published
2023
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35. Long-term follow-up (up to 11 years) of an Italian pediatric MS cohort treated with Natalizumab: a multicenter, observational study

Author

Baroncini, Damiano, Ghezzi, Angelo, Guaschino, Clara, Moiola, Lucia, Filippi, Massimo, Ianniello, Antonio, Pozzilli, Carlo, Lanzillo, Roberta, Brescia-Morra, Vincenzo, Margoni, Monica, Gallo, Paolo, Callari, Graziella, Grimaldi, Luigi, Lus, Giacomo, Calabrese, Massimiliano, Simone, Marta, Marfia, Girolama Alessandra, Rasia, Sarah, Cargnelutti, Daniela, Comi, Giancarlo, and Zaffaroni, Mauro

Published
2022
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38. Tissue factor as a potential coagulative/vascular marker in relapsing-remitting multiple sclerosis

Author

Tatiana Koudriavtseva, Svetlana Lorenzano, Maria Cellerino, Mauro Truglio, Marco Fiorelli, Caterina Lapucci, Giovanna D’Agosto, Laura Conti, Annunziata Stefanile, Silvana Zannino, Maria Maddalena Filippi, Antonio Cortese, Carlo Piantadosi, Marta Maschio, Andrea Maialetti, Edvina Galiè, Marco Salvetti, and Matilde Inglese

Subjects
multiple sclerosis, relapse, tissue factor, biomarker, coagulation, Immunologic diseases. Allergy, RC581-607
Abstract

ObjectivesRecent studies supported coagulation involvement in multiple sclerosis, an inflammatory-demyelinating and degenerative disease of the central nervous system. The main objectives of this observational study were to identify the most specific pro-coagulative/vascular factors for multiple sclerosis pathogenesis and to correlate them with brain hemodynamic abnormalities.MethodsWe compared i) serum/plasma levels of complement(C)/coagulation/vascular factors, viral/microbiological assays, fat-soluble vitamins and lymphocyte count among people with multiple sclerosis sampled in a clinical remission (n=30; 23F/7M, 40 ± 8.14 years) or a relapse (n=30; 24F/6M, age 41 ± 10.74 years) and age/sex-matched controls (n=30; 23F/7M, 40 ± 8.38 years); ii) brain hemodynamic metrics at dynamic susceptibility contrast-enhanced 3T-MRI during relapse and remission, and iii) laboratory data with MRI perfusion metrics and clinical features of people with multiple sclerosis. Two models by Partial Least Squares Discriminant Analysis were performed using two groups as input: (1) multiple sclerosis vs. controls, and (2) relapsing vs. remitting multiple sclerosis.ResultsCompared to controls, multiple sclerosis patients had a higher Body-Mass-Index, Protein-C and activated-C9; and a lower activated-C4. Levels of Tissue-Factor, Tie-2 and P-Selectin/CD62P were lower in relapse compared to remission and HC, whereas Angiopoietin-I was higher in relapsing vs. remitting multiple sclerosis. A lower number of total lymphocytes was found in relapsing multiple sclerosis vs. remitting multiple sclerosis and controls. Cerebral-Blood-Volume was lower in normal-appearing white matter and left caudatum while Cerebral-Blood-Flow was inferior in bilateral putamen in relapsing versus remitting multiple sclerosis. The mean-transit-time of gadolinium-enhancing lesions negatively correlated with Tissue-Factor. The top-5 discriminating variables for model (1) were: EBV-EBNA-1 IgG, Body-Mass-Index, Protein-C, activated-C4 and Tissue-Factor whereas for model (2) were: Tissue-Factor, Angiopoietin-I, MCHC, Vitamin A and T-CD3.ConclusionTissue-factor was one of the top-5 variables in the models discriminating either multiple sclerosis from controls or multiple sclerosis relapse from remission and correlated with mean-transit-time of gadolinium-enhancing lesions. Tissue-factor appears a promising pro-coagulative/vascular biomarker and a possible therapeutic target in relapsing-remitting multiple sclerosis.Clinical trial registrationClinicalTrials.gov, identifier NCT04380220.

Published
2023
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39. Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability.

Author

Kerbrat, Anne, Gros, Charley, Badji, Atef, Bannier, Elise, Galassi, Francesca, Combès, Benoit, Chouteau, Raphaël, Labauge, Pierre, Ayrignac, Xavier, Carra-Dalliere, Clarisse, Maranzano, Josefina, Granberg, Tobias, Ouellette, Russell, Stawiarz, Leszek, Hillert, Jan, Talbott, Jason, Tachibana, Yasuhiko, Hori, Masaaki, Kamiya, Kouhei, Chougar, Lydia, Lefeuvre, Jennifer, Reich, Daniel, Nair, Govind, Valsasina, Paola, Rocca, Maria, Filippi, Massimo, Chu, Renxin, Bakshi, Rohit, Callot, Virginie, Pelletier, Jean, Audoin, Bertrand, Maarouf, Adil, Collongues, Nicolas, De Seze, Jérôme, Edan, Gilles, and Cohen-Adad, Julien

Subjects
MRI, corticospinal tract, disability, multiple sclerosis, Adult, Brain, Cervical Cord, Disability Evaluation, Disease Progression, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Pyramidal Tracts, Retrospective Studies
Abstract

Despite important efforts to solve the clinico-radiological paradox, correlation between lesion load and physical disability in patients with multiple sclerosis remains modest. One hypothesis could be that lesion location in corticospinal tracts plays a key role in explaining motor impairment. In this study, we describe the distribution of lesions along the corticospinal tracts from the cortex to the cervical spinal cord in patients with various disease phenotypes and disability status. We also assess the link between lesion load and location within corticospinal tracts, and disability at baseline and 2-year follow-up. We retrospectively included 290 patients (22 clinically isolated syndrome, 198 relapsing remitting, 39 secondary progressive, 31 primary progressive multiple sclerosis) from eight sites. Lesions were segmented on both brain (T2-FLAIR or T2-weighted) and cervical (axial T2- or T2*-weighted) MRI scans. Data were processed using an automated and publicly available pipeline. Brain, brainstem and spinal cord portions of the corticospinal tracts were identified using probabilistic atlases to measure the lesion volume fraction. Lesion frequency maps were produced for each phenotype and disability scores assessed with Expanded Disability Status Scale score and pyramidal functional system score. Results show that lesions were not homogeneously distributed along the corticospinal tracts, with the highest lesion frequency in the corona radiata and between C2 and C4 vertebral levels. The lesion volume fraction in the corticospinal tracts was higher in secondary and primary progressive patients (mean = 3.6 ± 2.7% and 2.9 ± 2.4%), compared to relapsing-remitting patients (1.6 ± 2.1%, both P

Published
2020

40. A CASE OF COMBINED CENTRAL AND PERIPHERAL DEMYELINATION IN A PATIENT WITH PEDIATRIC MULTIPLE SCLEROSIS AFTER SARS-COV-2 VACCINATION

Author

Angeloglou Stella, Gkantzios Aimilios, Kourtesis Ioannis, Samaras Nikolasos, Barmpari Athanasia, Filippi Aikaterini, Taulant Jupe, Kosta Natalia, and Maltezou Maria

Subjects
combined central and peripheral demyelination, multiple sclerosis, sars-cov-2 vaccination, adem, Medicine, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

We present a case of combined central and peripheral demyelination in a patient with pediatric multiple sclerosis after the first dose of ChAdOx1-S (Chimpanzee Adenovirus Oxford 1) vaccination. The patient presented with ascending flaccid quadriparesis with respiratory failure that required mechanical ventilation. The lumbar puncture revealed albuminocytological dissociation, was negative for presence of JCV (John Cunningham Virus) in the CSF (Cerebrospinal Fluid) and ruled out other infections. A few days later he developed anisocoria and multiple new enlarging acute demyelinating lesions in the brain MRI (Magnetic Resonance Imaging). He was treated with intravenous immunoglobulin, corticosteroids and plasma exchange with gradual improvement. All other diseases were excluded via MR Spectroscopy, MR Angiography and serum and CSF laboratory investigations. Seven months later, the patient is under intense physiotherapy and is improving every day.

Published
2022
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42. A multi-step genomic approach prioritized TBKBP1 gene as relevant for multiple sclerosis susceptibility

Author

Sorosina, Melissa, Barizzone, Nadia, Clarelli, Ferdinando, Anand, Santosh, Lupoli, Sara, Salvi, Erika, Mangano, Eleonora, Bordoni, Roberta, Roostaei, Tina, Mascia, Elisabetta, Zuccalà, Miriam, Vecchio, Domizia, Cavalla, Paola, Santoro, Silvia, Ferrè, Laura, Zollo, Alen, Barlassina, Cristina, Cusi, Daniele, Martinelli, Vittorio, Comi, Giancarlo, Leone, Maurizio, Filippi, Massimo, Patsopoulos, Nikolaos A., De Jager, Philip L., De Bellis, Gianluca, Esposito, Federica, D’Alfonso, Sandra, and Martinelli Boneschi, Filippo

Published
2022
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48. Spatial distribution of multiple sclerosis lesions in the cervical spinal cord.

Author

Eden, Dominique, Gros, Charley, Badji, Atef, Dupont, Sara, De Leener, Benjamin, Maranzano, Josefina, Zhuoquiong, Ren, Liu, Yaou, Granberg, Tobias, Ouellette, Russell, Stawiarz, Leszek, Hillert, Jan, Talbott, Jason, Bannier, Elise, Kerbrat, Anne, Edan, Gilles, Labauge, Pierre, Callot, Virginie, Pelletier, Jean, Audoin, Bertrand, Rasoanandrianina, Henitsoa, Brisset, Jean-Christophe, Valsasina, Paola, Rocca, Maria, Filippi, Massimo, Bakshi, Rohit, Tauhid, Shahamat, Prados, Ferran, Yiannakas, Marios, Kearney, Hugh, Ciccarelli, Olga, Smith, Seth, Andrada Treaba, Constantina, Mainero, Caterina, Lefeuvre, Jennifer, Reich, Daniel, Nair, Govind, Shepherd, Timothy, Charlson, Erik, Tachibana, Yasuhiko, Hori, Masaaki, Kamiya, Kouhei, Chougar, Lydia, Narayanan, Sridar, and Cohen-Adad, Julien

Subjects
MRI, lesions, multicentre, multiple sclerosis, spinal cord, Adult, Brain, Cervical Cord, Disability Evaluation, Disease Progression, Female, Gray Matter, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Multiple Sclerosis, Chronic Progressive, Multiple Sclerosis, Relapsing-Remitting, Spatial Analysis, Spinal Cord, Spinal Cord Diseases, White Matter
Abstract

Spinal cord lesions detected on MRI hold important diagnostic and prognostic value for multiple sclerosis. Previous attempts to correlate lesion burden with clinical status have had limited success, however, suggesting that lesion location may be a contributor. Our aim was to explore the spatial distribution of multiple sclerosis lesions in the cervical spinal cord, with respect to clinical status. We included 642 suspected or confirmed multiple sclerosis patients (31 clinically isolated syndrome, and 416 relapsing-remitting, 84 secondary progressive, and 73 primary progressive multiple sclerosis) from 13 clinical sites. Cervical spine lesions were manually delineated on T2- and T2*-weighted axial and sagittal MRI scans acquired at 3 or 7 T. With an automatic publicly-available analysis pipeline we produced voxelwise lesion frequency maps to identify predilection sites in various patient groups characterized by clinical subtype, Expanded Disability Status Scale score and disease duration. We also measured absolute and normalized lesion volumes in several regions of interest using an atlas-based approach, and evaluated differences within and between groups. The lateral funiculi were more frequently affected by lesions in progressive subtypes than in relapsing in voxelwise analysis (P < 0.001), which was further confirmed by absolute and normalized lesion volumes (P < 0.01). The central cord area was more often affected by lesions in primary progressive than relapse-remitting patients (P < 0.001). Between white and grey matter, the absolute lesion volume in the white matter was greater than in the grey matter in all phenotypes (P < 0.001); however when normalizing by each region, normalized lesion volumes were comparable between white and grey matter in primary progressive patients. Lesions appearing in the lateral funiculi and central cord area were significantly correlated with Expanded Disability Status Scale score (P < 0.001). High lesion frequencies were observed in patients with a more aggressive disease course, rather than long disease duration. Lesions located in the lateral funiculi and central cord area of the cervical spine may influence clinical status in multiple sclerosis. This work shows the added value of cervical spine lesions, and provides an avenue for evaluating the distribution of spinal cord lesions in various patient groups.

Published
2019

49. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

Author

Gros, Charley, De Leener, Benjamin, Badji, Atef, Maranzano, Josefina, Eden, Dominique, Dupont, Sara M, Talbott, Jason, Zhuoquiong, Ren, Liu, Yaou, Granberg, Tobias, Ouellette, Russell, Tachibana, Yasuhiko, Hori, Masaaki, Kamiya, Kouhei, Chougar, Lydia, Stawiarz, Leszek, Hillert, Jan, Bannier, Elise, Kerbrat, Anne, Edan, Gilles, Labauge, Pierre, Callot, Virginie, Pelletier, Jean, Audoin, Bertrand, Rasoanandrianina, Henitsoa, Brisset, Jean-Christophe, Valsasina, Paola, Rocca, Maria A, Filippi, Massimo, Bakshi, Rohit, Tauhid, Shahamat, Prados, Ferran, Yiannakas, Marios, Kearney, Hugh, Ciccarelli, Olga, Smith, Seth, Treaba, Constantina Andrada, Mainero, Caterina, Lefeuvre, Jennifer, Reich, Daniel S, Nair, Govind, Auclair, Vincent, McLaren, Donald G, Martin, Allan R, Fehlings, Michael G, Vahdat, Shahabeddin, Khatibi, Ali, Doyon, Julien, Shepherd, Timothy, Charlson, Erik, Narayanan, Sridar, and Cohen-Adad, Julien

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Spinal Cord Injury, Neurodegenerative, Bioengineering, Autoimmune Disease, Traumatic Head and Spine Injury, Physical Injury - Accidents and Adverse Effects, Brain Disorders, Biomedical Imaging, Multiple Sclerosis, Neurosciences, Neurological, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Neural Networks, Computer, Observer Variation, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Spinal Cord, MRI, Segmentation, Spinal cord, Multiple sclerosis, Convolutional neural networks, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biomedical and clinical sciences, Health sciences
Abstract

The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and longitudinal monitoring in MS. Automating this operation eliminates inter-rater variability and increases the efficiency of large-throughput analysis pipelines. Robust and reliable segmentation across multi-site spinal cord data is challenging because of the large variability related to acquisition parameters and image artifacts. In particular, a precise delineation of lesions is hindered by a broad heterogeneity of lesion contrast, size, location, and shape. The goal of this study was to develop a fully-automatic framework - robust to variability in both image parameters and clinical condition - for segmentation of the spinal cord and intramedullary MS lesions from conventional MRI data of MS and non-MS cases. Scans of 1042 subjects (459 healthy controls, 471 MS patients, and 112 with other spinal pathologies) were included in this multi-site study (n = 30). Data spanned three contrasts (T1-, T2-, and T2∗-weighted) for a total of 1943 vol and featured large heterogeneity in terms of resolution, orientation, coverage, and clinical conditions. The proposed cord and lesion automatic segmentation approach is based on a sequence of two Convolutional Neural Networks (CNNs). To deal with the very small proportion of spinal cord and/or lesion voxels compared to the rest of the volume, a first CNN with 2D dilated convolutions detects the spinal cord centerline, followed by a second CNN with 3D convolutions that segments the spinal cord and/or lesions. CNNs were trained independently with the Dice loss. When compared against manual segmentation, our CNN-based approach showed a median Dice of 95% vs. 88% for PropSeg (p ≤ 0.05), a state-of-the-art spinal cord segmentation method. Regarding lesion segmentation on MS data, our framework provided a Dice of 60%, a relative volume difference of -15%, and a lesion-wise detection sensitivity and precision of 83% and 77%, respectively. In this study, we introduce a robust method to segment the spinal cord and intramedullary MS lesions on a variety of MRI contrasts. The proposed framework is open-source and readily available in the Spinal Cord Toolbox.

Published
2019

50. Real world experience with teriflunomide in multiple sclerosis: the TER-Italy study

Author

Bucello, Sebastiano, Annovazzi, Pietro, Ragonese, Paolo, Altieri, Marta, Barcella, Valeria, Bergamaschi, Roberto, Bianchi, Alessia, Borriello, Giovanna, Buscarinu, Maria Chiara, Callari, Graziella, Capobianco, Marco, Capone, Fioravante, Cavalla, Paola, Cavarretta, Rosella, Cortese, Antonio, De Luca, Giovanna, Di Filippo, Massimiliano, Dattola, Vincenzo, Fantozzi, Roberta, Ferraro, Elisabetta, Filippi, Maria Maddalena, Gasperini, Claudio, Grimaldi, Luigi Maria Edoardo, Landi, Doriana, Re, Marianna Lo, Mallucci, Giulia, Manganotti, Paolo, Marfia, Girolama Alessandra, Mirabella, Massimiliano, Perini, Paola, Pisa, Marco, Realmuto, Sabrina, Russo, Margherita, Tomassini, Valentina, Torri-Clerici, Valentina Liliana Adriana, Zaffaroni, Mauro, Zuliani, Cristina, Zywicki, Sofia, Filippi, Massimo, and Prosperini, Luca

Published
2021
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