Manon Bordonne1, Mohammad B Chawki1, Matthieu Doyen1,2, Aurelie Kas3, Eric Guedj4, Louise Tyvaert5, Antoine Verger6,7. 1. Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, Rue du Morvan, 54500 Vandoeuvre-les-Nancy, F-54000, Nancy, France. 2. Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France. 3. Nuclear Medicine Department, Pitié-Salpêtrière Hospital, APHP Sorbonne-Université, Laboratoire d'Imagerie Biomédicale, Sorbonne Université, F-75000, Paris, France. 4. Nuclear Medicine Department, Aix Marseille Univ, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, F-13000, Marseille, France. 5. Department of Neurology, Université de Lorraine, CRAN UMR 7039, CHRU, F-54000, Nancy, France. 6. Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, Rue du Morvan, 54500 Vandoeuvre-les-Nancy, F-54000, Nancy, France. a.verger@chru-nancy.fr. 7. Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France. a.verger@chru-nancy.fr.
Abstract
OBJECTIVE: To consolidate current understanding of detection sensitivity of brain 18F-FDG PET scans in the diagnosis of autoimmune encephalitis and to define specific metabolic imaging patterns for the most frequently occurring autoantibodies. METHODS: A systematic and exhaustive search of data available in the literature was performed by querying the PubMed/MEDLINE and Cochrane databases for the search terms: ((PET) OR (positron emission tomography)) AND ((FDG) OR (fluorodeoxyglucose)) AND ((encephalitis) OR (brain inflammation)). Studies had to satisfy the following criteria: (i) include at least ten pediatric or adult patients suspected or diagnosed with autoimmune encephalitis according to the current recommendations, (ii) specifically present 18F-FDG PET and/or morphologic imaging findings. The diagnostic 18F-FDG PET detection sensitivity in autoimmune encephalitis was determined for all cases reported in this systematic review, according to a meta-analysis following the PRISMA method, and selected publication quality was assessed with the QUADAS-2 tool. RESULTS: The search strategy identified 626 articles including references from publications. The detection sensitivity of 18F-FDG PET was 87% (80-92%) based on 21 publications and 444 patients included in the meta-analysis. We also report specific brain 18F-FDG PET imaging patterns for the main encephalitis autoantibody subtypes. CONCLUSION AND RELEVANCE: Brain 18F-FDG PET has a high detection sensitivity and should be included in future diagnostic autoimmune encephalitis recommendations. Specific metabolic 18F-FDG PET patterns corresponding to the main autoimmune encephalitis autoantibody subtypes further enhance the value of this diagnostic.
OBJECTIVE: To consolidate current understanding of detection sensitivity of brain 18F-FDG PET scans in the diagnosis of autoimmune encephalitis and to define specific metabolic imaging patterns for the most frequently occurring autoantibodies. METHODS: A systematic and exhaustive search of data available in the literature was performed by querying the PubMed/MEDLINE and Cochrane databases for the search terms: ((PET) OR (positron emission tomography)) AND ((FDG) OR (fluorodeoxyglucose)) AND ((encephalitis) OR (brain inflammation)). Studies had to satisfy the following criteria: (i) include at least ten pediatric or adult patients suspected or diagnosed with autoimmune encephalitis according to the current recommendations, (ii) specifically present 18F-FDG PET and/or morphologic imaging findings. The diagnostic 18F-FDG PET detection sensitivity in autoimmune encephalitis was determined for all cases reported in this systematic review, according to a meta-analysis following the PRISMA method, and selected publication quality was assessed with the QUADAS-2 tool. RESULTS: The search strategy identified 626 articles including references from publications. The detection sensitivity of 18F-FDG PET was 87% (80-92%) based on 21 publications and 444 patients included in the meta-analysis. We also report specific brain 18F-FDG PET imaging patterns for the main encephalitis autoantibody subtypes. CONCLUSION AND RELEVANCE: Brain 18F-FDG PET has a high detection sensitivity and should be included in future diagnostic autoimmune encephalitis recommendations. Specific metabolic 18F-FDG PET patterns corresponding to the main autoimmune encephalitis autoantibody subtypes further enhance the value of this diagnostic.
Authors: Julia Granerod; Helen E Ambrose; Nicholas Ws Davies; Jonathan P Clewley; Amanda L Walsh; Dilys Morgan; Richard Cunningham; Mark Zuckerman; Ken J Mutton; Tom Solomon; Katherine N Ward; Michael Pt Lunn; Sarosh R Irani; Angela Vincent; David Wg Brown; Natasha S Crowcroft Journal: Lancet Infect Dis Date: 2010-10-15 Impact factor: 25.071
Authors: Francesc Graus; Maarten J Titulaer; Ramani Balu; Susanne Benseler; Christian G Bien; Tania Cellucci; Irene Cortese; Russell C Dale; Jeffrey M Gelfand; Michael Geschwind; Carol A Glaser; Jerome Honnorat; Romana Höftberger; Takahiro Iizuka; Sarosh R Irani; Eric Lancaster; Frank Leypoldt; Harald Prüss; Alexander Rae-Grant; Markus Reindl; Myrna R Rosenfeld; Kevin Rostásy; Albert Saiz; Arun Venkatesan; Angela Vincent; Klaus-Peter Wandinger; Patrick Waters; Josep Dalmau Journal: Lancet Neurol Date: 2016-02-20 Impact factor: 44.182