Fiche publication
Date publication
janvier 2017
Journal
PloS one
Auteurs
Membres identifiés du Cancéropôle Est :
Pr VERGER Antoine
Tous les auteurs :
Blanc-Durand P, Van Der Gucht A, Guedj E, Abulizi M, Aoun-Sebaiti M, Lerman L, Verger A, Authier FJ, Itti E
Lien Pubmed
Résumé
Macrophagic myofasciitis (MMF) is an emerging condition with highly specific myopathological alterations. A peculiar spatial pattern of a cerebral glucose hypometabolism involving occipito-temporal cortex and cerebellum have been reported in patients with MMF; however, the full pattern is not systematically present in routine interpretation of scans, and with varying degrees of severity depending on the cognitive profile of patients. Aim was to generate and evaluate a support vector machine (SVM) procedure to classify patients between healthy or MMF 18F-FDG brain profiles.
Mots clés
Adult, Algorithms, Brain, diagnostic imaging, Fasciitis, diagnostic imaging, Female, Fluorodeoxyglucose F18, metabolism, Humans, Male, Middle Aged, Myositis, diagnostic imaging, Positron-Emission Tomography, methods, Predictive Value of Tests, Radiopharmaceuticals, metabolism, Support Vector Machine
Référence
PLoS ONE. 2017 ;12(7):e0181152
