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A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain

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...

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Autores principales: Parisot, Sarah, Darlix, Amélie, Baumann, Cédric, Zouaoui, Sonia, Yordanova, Yordanka, Blonski, Marie, Rigau, Valérie, Chemouny, Stéphane, Taillandier, Luc, Bauchet, Luc, Duffau, Hugues, Paragios, Nikos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709135/
https://www.ncbi.nlm.nih.gov/pubmed/26751577
http://dx.doi.org/10.1371/journal.pone.0144200
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author Parisot, Sarah
Darlix, Amélie
Baumann, Cédric
Zouaoui, Sonia
Yordanova, Yordanka
Blonski, Marie
Rigau, Valérie
Chemouny, Stéphane
Taillandier, Luc
Bauchet, Luc
Duffau, Hugues
Paragios, Nikos
author_facet Parisot, Sarah
Darlix, Amélie
Baumann, Cédric
Zouaoui, Sonia
Yordanova, Yordanka
Blonski, Marie
Rigau, Valérie
Chemouny, Stéphane
Taillandier, Luc
Bauchet, Luc
Duffau, Hugues
Paragios, Nikos
author_sort Parisot, Sarah
collection PubMed
description 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.
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spelling pubmed-47091352016-01-15 A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain Parisot, Sarah Darlix, Amélie Baumann, Cédric Zouaoui, Sonia Yordanova, Yordanka Blonski, Marie Rigau, Valérie Chemouny, Stéphane Taillandier, Luc Bauchet, Luc Duffau, Hugues Paragios, Nikos PLoS One Research Article 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. Public Library of Science 2016-01-11 /pmc/articles/PMC4709135/ /pubmed/26751577 http://dx.doi.org/10.1371/journal.pone.0144200 Text en © 2016 Parisot et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Parisot, Sarah
Darlix, Amélie
Baumann, Cédric
Zouaoui, Sonia
Yordanova, Yordanka
Blonski, Marie
Rigau, Valérie
Chemouny, Stéphane
Taillandier, Luc
Bauchet, Luc
Duffau, Hugues
Paragios, Nikos
A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain
title A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain
title_full A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain
title_fullStr A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain
title_full_unstemmed A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain
title_short A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain
title_sort probabilistic atlas of diffuse who grade ii glioma locations in the brain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709135/
https://www.ncbi.nlm.nih.gov/pubmed/26751577
http://dx.doi.org/10.1371/journal.pone.0144200
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