Visualization of heterogeneity and regional grading of gliomas by multiple features using magnetic resonance-based clustered images

Preoperative glioma grading is important for therapeutic strategies and influences prognosis. Intratumoral heterogeneity can cause an underestimation of grading because of the sampling error in biopsies. We developed a voxel-based unsupervised clustering method with multiple magnetic resonance imagi...

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Detalles Bibliográficos
Autores principales: Inano, Rika, Oishi, Naoya, Kunieda, Takeharu, Arakawa, Yoshiki, Kikuchi, Takayuki, Fukuyama, Hidenao, Miyamoto, Susumu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960553/
https://www.ncbi.nlm.nih.gov/pubmed/27456199
http://dx.doi.org/10.1038/srep30344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960553/
https://www.ncbi.nlm.nih.gov/pubmed/27456199
http://dx.doi.org/10.1038/srep30344

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