|
1.
|
|
11 p, 5.6 MB |
New Algorithms Improving PML Risk Stratification in MS Patients Treated With Natalizumab
/
Toboso, Inmaculada (Hospital Universitario Ramón y Cajal (Madrid)) ;
Tejeda-Velarde, Amalia (Hospital Universitario Ramón y Cajal (Madrid)) ;
Alvarez-Lafuente, Roberto (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos) ;
Arroyo, Rafael (Hospital Universitario Quiron Salud) ;
Hegen, Harald (Medical University of Innsbruck) ;
Deisenhammer, Florian (Medical University of Innsbruck) ;
Sainz de la Maza, Susana (Hospital Universitario Ramón y Cajal (Madrid)) ;
Alvarez-Cermeño, José C. (Hospital Universitario Ramón y Cajal (Madrid)) ;
Izquierdo, Guillermo (Hospital Universitario Virgen Macarena (Sevilla, Andalusia)) ;
Paramo, Dolores (Hospital Universitario Virgen Macarena (Sevilla, Andalusia)) ;
Oliva, Pedro (Hospital Universitario Central de Asturias) ;
Casanova, Bonaventura (Hospital Universitari i Politècnic La Fe (València)) ;
Agüera-Morales, Eduardo (Hospital Universitario Reina Sofía (Còrdova, Espanya)) ;
Franciotta, Diego (Istituti di Recovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation) ;
Gastaldi, Matteo (Istituti di Recovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation) ;
Fernández, Oscar (Hospital Regional Universitario de Málaga) ;
Urbaneja, Patricia (Hospital Regional Universitario de Málaga) ;
Garcia-Dominguez, José M. (Hospital General Universitario Gregorio Marañón) ;
Romero, Fernando (Hospital General Universitario Gregorio Marañón) ;
Laroni, Alicia (University of Genoa, Ospedale Policlinico San Martino) ;
Uccelli, Antonio (University of Genoa, Ospedale Policlinico San Martino) ;
Perez-Sempere, Angel (Hospital General Universitario de Alicante (Alacant, País Valencià)) ;
Saiz, Albert (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Blanco, Yolanda (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Galimberti, Daniela (University of Milan) ;
Scarpini, Elio (University of Milan) ;
Espejo, Carmen (Hospital Universitari Vall d'Hebron) ;
Montalban, Xavier (Hospital Universitari Vall d'Hebron) ;
Rasche, Ludwig (Humboldt-Universität zu Berlin) ;
Paul, Friedemann (Charité - Universitätsmedizin Berlin) ;
González, Inés (Hospital Álvaro Cunqueiro (Vigo)) ;
Álvarez, Elena (Hospital Álvaro Cunqueiro (Vigo)) ;
Ramo-Tello, Cristina (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ;
Caminero, Ana B. (Hospital Nuestra Señora de Sonsoles (Àvila)) ;
Aladro, Yolanda (Hospital Universitario Getafe) ;
Calles, Carmen (Hospital Universitari Son Espases (Palma de Mallorca, Balears)) ;
Eguía, Pablo (Hospital Doctor Jose Molina Orosa) ;
Belenguer-Benavides, Antonio (Consorci Hospitalari Provincial de Castelló) ;
Ramió-Torrentà, Lluís (Hospital Universitari de Girona Doctor Josep Trueta) ;
Quintana, Ester (Hospital Universitari de Girona Doctor Josep Trueta) ;
Martínez-Rodríguez, José E. (Hospital del Mar (Barcelona, Catalunya)) ;
Oterino, Agustín (Hospital Universitario Marqués de Valdecilla (Santander, Cantabria)) ;
López de Silanes, Carlos (Hospital Universitario de Torrejón) ;
Casanova, Luis I. (Hospital Universitario de Torrejón) ;
Landete Pascual, Lamberto (Hospital Universitari Doctor Peset (València)) ;
Frederiksen, Jette (Glostrup University Hospital Copenhagen) ;
Bsteh, Gabriel (Medical University of Innsbruck) ;
Mulero, P. (Hospital Universitari Vall d'Hebron) ;
Comabella, Manuel (Hospital Universitari Vall d'Hebron) ;
Hernández, Miguel A. (Hospital Universitario Nuestra Señora de Candelaria (Santa Cruz de Tenerife)) ;
Espiño, Mercedes (Hospital Universitario Ramón y Cajal (Madrid)) ;
Prieto, José M. (Hospital Clínico Universitario (Santiago de Compostela, Galícia)) ;
Pérez, Domingo (Hospital del Bierzo (Ponferrada, Lleó)) ;
Otano, María (Complejo Hospitalario de Navarra) ;
Padilla, Francisco (Hospital Universitario Virgen de la Victoria (Màlaga, Andalusia)) ;
García-Merino, Juan A. (Hospital Universitario Puerta de Hierro Majadahonda (Madrid)) ;
Navarro Cantó, Laura (Hospital General Universitario de Elche) ;
Muriel, Alfonso (Hospital Universitario Ramón y Cajal (Madrid)) ;
Frossard, Lucienne Costa (Hospital Universitario Ramón y Cajal (Madrid)) ;
Villar, Luisa M. (Hospital Universitario Ramón y Cajal (Madrid)) ;
Universitat Autònoma de Barcelona
Overview: We assessed the role of age and disease activity as new factors contributing to establish the risk of progressive multifocal leucoencephalopathy in multiple sclerosis patients treated with natalizumab in 36 University Hospitals in Europe. [...]
2020 -  10.3389/fneur.2020.579438
Frontiers in neurology, Vol. 11 (december 2020)
|
|
|
2.
|
|
8 p, 2.0 MB |
Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis : Towards accelerated semi-automated references
/
de Sitter, Alexandra (MS Center Amsterdam) ;
Burggraaff, Jessica (MS Center Amsterdam) ;
Bartel, Fabian (MS Center Amsterdam) ;
Palotai, Miklos (Harvard Medical School) ;
Liu, Yaou (MS Center Amsterdam) ;
Simoes, Jorge (MS Center Amsterdam) ;
Ruggieri, Serena (San Camillo Forlanini Hospital) ;
Schregel, Katharina (University Medical Center Goettingen) ;
Ropele, Stefan (Medical University of Graz) ;
Rocca, Maria A. (San Raffaele Scientific Institute) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Gallo, Antonio (University of Campania "Luigi Vanvitelli", Naples) ;
Schoonheim, Menno M. (Amsterdam UMC) ;
Amann, Michael (University Hospital Basel (Basilea, Suïssa)) ;
Yiannakas, Marios (UCL Institute of Neurology (Regne Unit)) ;
Pareto, Deborah (Hospital Universitari Vall d'Hebron) ;
Wattjes, Mike P. (Hannover Medical School) ;
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron) ;
Kappos, Ludwig (University Hospital Basel (Basilea, Suïssa)) ;
Filippi, Massimo (Vita-Salute San Raffaele University) ;
Enzinger, Christian (Medical University of Graz) ;
Frederiksen, Jette (Glostrup University Hospital Copenhagen) ;
Uitdehaag, Bernard (MS Center Amsterdam) ;
Guttmann, Charles R. G. (Harvard Medical School) ;
Barkhof, Frederik (Institutes of Neurology & Healthcare Engineering, London) ;
Vrenken, Hugo (Amsterdam UMC) ;
Universitat Autònoma de Barcelona
Deep grey matter (dGM) structures, particularly the thalamus, are clinically relevant in multiple sclerosis (MS). However, segmentation of dGM in MS is challenging; labeled MS-specific reference sets are needed for objective evaluation and training of new methods. [...]
2021 - 10.1016/j.nicl.2021.102659
NeuroImage, Vol. 30 (april 2021)
|
|
|
3.
|
|
14 p, 1.7 MB |
Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis : an evaluation of four automated methods against manual reference segmentations in a multi-center cohort
/
de Sitter, Alexandra (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Verhoeven, Tom (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Burggraaff, Jessica (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Neurology, MS Center Amsterdam) ;
Liu, Yaou (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Simoes, Jorge (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Ruggieri, Serena (San Camillo Forlanini Hospital) ;
Palotai, Miklos (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica)) ;
Brouwer, Iman (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Versteeg, Adriaan (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Wottschel, Viktor (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Ropele, Stefan (Medical University of Graz. Department of Neurology) ;
Rocca, Mara A. (IRCCS San Raffaele Scientific Institute (Milà, Itàlia). Neurology Unit) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Gallo, Antonio (University of Campania "Luigi Vanvitelli". Division of Neurology and MRI Research Center, Department of Medical, Surgical, Neurologic, Metabolic and Aging Sciences) ;
Yiannakas, Marios C. (University College London. Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology) ;
Rovira, Alex (Hospital Universitari Vall d'Hebron. Institut de Recerca) ;
Enzinger, Christian (University of Graz. Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology Medical) ;
Filippi, Massimo (Vita-Salute San Raffaele University) ;
De Stefano, Nicola (University of Siena. Department of Neurological and Behavioural Sciences) ;
Kappos, Ludwig (University Hospital, Kantonsspital. Department of Neurology) ;
Frederiksen, Jette L. (Glostrup University Hospital Copenhagen) ;
Uitdehaag, Bernard M. J. (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Neurology, MS Center Amsterdam) ;
Barkhof, Frederik (University College London. Institutes of Neurology & Healthcare Engineering) ;
Guttmann, Charles R. G. (Brigham and Women's Hospital (Boston, Estats Units d'Amèrica)) ;
Vrenken, Hugo (Amsterdam Neuroscience, Amsterdam UMC, Location VUmc. Department of Radiology and Nuclear Medicine, MS Center Amsterdam) ;
Universitat Autònoma de Barcelona
Deep grey matter (DGM) atrophy in multiple sclerosis (MS) and its relation to cognitive and clinical decline requires accurate measurements. MS pathology may deteriorate the performance of automated segmentation methods. [...]
2020 - 10.1007/s00415-020-10023-1
Journal of Neurology, Vol. 267 (july 2020) , p. 3541-3554
|
|
|
4.
|
|
12 p, 1.5 MB |
MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice
/
Sastre-Garriga, Jaume (Centre d'Esclerosi Mútiple de Catalunya (Cemcat)) ;
Pareto, Deborah (Hospital Universitari Vall d'Hebron) ;
Battaglini, Marco (University of Siena. Department of Medicine, Surgery and Neuroscience) ;
Rocca, Maria A. (IRCCS San Raffaele Scientific Institute (Milà, Itàlia). Institute of Experimental Neurology) ;
Ciccarelli, Olga (University College London Hospitals. National Institute for Health Research Biomedical Research Centre) ;
Enzinger, Christian (Medical University of Graz. Department of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology) ;
Wuerfel, Jens (University of Basel. Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering) ;
Sormani, Maria P. (IRCCS, Ospedale Policlinico San Martino, Genoa) ;
Barkhof, Frederik (University College London. Institutes of Neurology and Healthcare Engineering) ;
Yousry, Tarek A. (University College London Hospitals National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology. Lysholm Department of Neuroradiology) ;
De Stefano, Nicola (University of Siena. Department of Medicine, Surgery and Neuroscience) ;
Tintoré, Mar (Centre d'Esclerosi Mútiple de Catalunya (Cemcat)) ;
Filippi, Massimo (Vita-Salute San Raffaele University) ;
Gasperini, Claudio (San Camillo Forlanini Hospital) ;
Kappos, Ludwig (University Hospital Basel (Basilea, Suïssa)) ;
Río, Jordi (Universitat Autònoma de Barcelona) ;
Frederiksen, Jette (University of Copenhagen) ;
Palace, Jackie (University of Oxford. Nuffield Department of Clinical Neurosciences) ;
Vrenken, Hugo (Amsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC) ;
Montalban, Xavier (University of Toronto. Division of Neurology, St Michael's Hospital) ;
Rovira, Alex (Hospital Universitari Vall d'Hebron) ;
Universitat Autònoma de Barcelona ;
Hospital Universitari Vall d'Hebron ;
Centre d'Esclerosi Mútiple de Catalunya (Cemcat)
Early evaluation of treatment response and prediction of disease evolution are key issues in the management of people with multiple sclerosis (MS). In the past 20 years, MRI has become the most useful paraclinical tool in both situations and is used clinically to assess the inflammatory component of the disease, particularly the presence and evolution of focal lesions - the pathological hallmark of MS. [...]
2020 - 10.1038/s41582-020-0314-x
Nature Reviews. Neurology, Vol. 16 (february 2020) , p. 171-182
|
|
visitante ::
identificación
alerta personal vía correo electrónico o subscríbase al 
canal RSS.
