Fiche publication
Date publication
janvier 2016
Journal
PloS one
Auteurs
Membres identifiés du Cancéropôle Est :
Pr TAILLANDIER Luc
Tous les auteurs :
Parisot S, Darlix A, Baumann C, Zouaoui S, Yordanova Y, Blonski M, Rigau V, Chemouny S, Taillandier L, Bauchet L, Duffau H, Paragios N
Lien Pubmed
Résumé
Diffuse WHO grade II gliomas are diffusively infiltrative brain tumors characterized by an unavoidable anaplastic transformation. Their management is strongly dependent on their location in the brain due to interactions with functional regions and potential differences in molecular biology. In this paper, we present the construction of a probabilistic atlas mapping the preferential locations of diffuse WHO grade II gliomas in the brain. This is carried out through a sparse graph whose nodes correspond to clusters of tumors clustered together based on their spatial proximity. The interest of such an atlas is illustrated via two applications. The first one correlates tumor location with the patient's age via a statistical analysis, highlighting the interest of the atlas for studying the origins and behavior of the tumors. The second exploits the fact that the tumors have preferential locations for automatic segmentation. Through a coupled decomposed Markov Random Field model, the atlas guides the segmentation process, and characterizes which preferential location the tumor belongs to and consequently which behavior it could be associated to. Leave-one-out cross validation experiments on a large database highlight the robustness of the graph, and yield promising segmentation results.
Mots clés
Adolescent, Adult, Age Factors, Aged, Atlases as Topic, Brain, pathology, Brain Mapping, methods, Brain Neoplasms, diagnosis, Female, Glioma, diagnosis, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neoplasm Grading, Probability
Référence
PLoS ONE. 2016 ;11(1):e0144200
