Reference : Automatic multiclass classification of 18FDG-PET scans for the distinction between Pa...
Scientific congresses and symposiums : Poster
Human health sciences : Multidisciplinary, general & others
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/138421
Automatic multiclass classification of 18FDG-PET scans for the distinction between Parkinson’s disease and atypical parkinsonian syndromes
English
Phillips, Christophe [Université de Liège - ULiège > > Centre de recherches du cyclotron >]
Schrouff, Jessica mailto [Université de Liège - ULiège > > Centre de recherches du cyclotron >]
Luxen, André [Université de Liège - ULiège > Département de chimie (sciences) > Chimie organique de synthèse >]
Salmon, Eric [Université de Liège - ULiège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et révalid. cogn. >]
Garraux, Gaëtan [Université de Liège - ULiège > Département des sciences cliniques > Neurologie >]
10-Jun-2012
Yes
No
International
Organization of Human Brain Mapping
from 10-06-2012 to 14-06-2012
Beijing
China
[en] classification ; Parkinson's Syndromes ; bagging
[en] Part of the difficulty in the early diagnosis of Parkinson’s disease (PD) is in differentiating it from atypical parkinsonian disorders (APS) that have a poorer prognosis such as multiple system atrophy (MSA), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). 18flurodeoxyglucose (FDG) positron emission tomography (PET) has been recommended for the early differentiation between PD and APS [1]. Here, 120 FDG PET scans (42, 31, 26 and 21 for the PD, MSA, PSP and CBS resp.) were acquired on average 3.5 years after symptoms onset (because the initial clinical features were outside the prevailing perception for PD) to look, without any a priori assumption, for cerebral FDG uptake patterns that discriminate either between the PD and APS classes, or between the four PD, MSA, PSP and CBS classes. The diagnostic used to label the scans was defined by clinical criteria on average 4.5 years after PET assessment.
Centre de Recherches du Cyclotron - CRC
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS ; Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA ; University of Liège
Researchers ; Professionals
http://hdl.handle.net/2268/138421
http://www.humanbrainmapping.org/files/2012MeetingFiles/OHBM_2012_Abstracts-final.pdf

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