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Imaging chronic active lesions in multiple sclerosis: a consensus statement.
Bagnato, Francesca; Sati, Pascal; Hemond, Christopher C; Elliott, Colm; Gauthier, Susan A; Harrison, Daniel M; Mainero, Caterina; Oh, Jiwon; Pitt, David; Shinohara, Russell T; Smith, Seth A; Trapp, Bruce; Azevedo, Christina J; Calabresi, Peter A; Henry, Roland G; Laule, Cornelia; Ontaneda, Daniel; Rooney, William D; Sicotte, Nancy L; Reich, Daniel S; Absinta, Martina.
Afiliación
  • Bagnato F; Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
  • Sati P; Department of Neurology, Nashville VA Medical Center, Tennessee Valley Healthcare System, Nashville, TN 37212, USA.
  • Hemond CC; Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
  • Elliott C; Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
  • Gauthier SA; NeuroRx Research, Montréal, QC H2X 3P9, Canada.
  • Harrison DM; Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA.
  • Mainero C; Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
  • Oh J; Department of Neurology, Baltimore VA Medical Center, VA Maryland Healthcare System, Baltimore, MD 21201, USA.
  • Pitt D; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • Shinohara RT; Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON M5S, Canada.
  • Smith SA; Department of Neurology, Yale School of Medicine, New Haven, CT 06510, USA.
  • Trapp B; Penn Statistics in Imaging and Visualization Endeavor, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Azevedo CJ; Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Calabresi PA; Department of Radiology and Radiological Sciences, Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37235, USA.
  • Henry RG; Department on Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
  • Laule C; Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90007, USA.
  • Ontaneda D; Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Rooney WD; Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158, USA.
  • Sicotte NL; Department of Radiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
  • Reich DS; Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
  • Absinta M; Department of Physics and Astronomy, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Brain ; 147(9): 2913-2933, 2024 Sep 03.
Article en En | MEDLINE | ID: mdl-38226694
ABSTRACT
Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis and have implications for non-relapsing biological progression. In recent years, the discovery of innovative MRI and PET-derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with multiple sclerosis, in vivo. Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted and T2-weighted scans, and 18-kDa translocator protein-positive lesions on PET are promising candidate biomarkers of CAL. While partially overlapping, these biomarkers do not have equivalent sensitivity and specificity to histopathological CAL. Standardization in the use of available imaging measures for CAL identification, quantification and monitoring is lacking. To fast-forward clinical translation of CAL, the North American Imaging in Multiple Sclerosis Cooperative developed a consensus statement, which provides guidance for the radiological definition and measurement of CAL. The proposed manuscript presents this consensus statement, summarizes the multistep process leading to it, and identifies the remaining major gaps in knowledge.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Consenso / Esclerosis Múltiple Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Brain Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Consenso / Esclerosis Múltiple Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Brain Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos