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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.
Afiliação
  • 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; 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, NYC, 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; Vanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, 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 & Astronomy, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Brain ; 2024 Jan 16.
Article em En | MEDLINE | ID: mdl-38226694
ABSTRACT
Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis (MS) and have implications for non-relapsing biological progression. In recent years, the discovery of innovative magnetic resonance imaging (MRI) and PET derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with MS, in vivo. Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted (T1-w) and T2-w 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 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Brain Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Brain Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos