Quantification of tumor microenvironment acidity in glioblastoma using principal component analysis of dynamic susceptibility contrast enhanced MR imaging

Glioblastoma (GBM) has high metabolic demands, which can lead to acidification of the tumor microenvironment. We hypothesize that a machine learning model built on temporal principal component analysis (PCA) of dynamic susceptibility contrast-enhanced (DSC) perfusion MRI can be used to estimate tumo...

Descripción completa

Detalles Bibliográficos
Autores principales: Akbari, Hamed, Kazerooni, Anahita Fathi, Ware, Jeffrey B., Mamourian, Elizabeth, Anderson, Hannah, Guiry, Samantha, Sako, Chiharu, Raymond, Catalina, Yao, Jingwen, Brem, Steven, O’Rourke, Donald M., Desai, Arati S., Bagley, Stephen J., Ellingson, Benjamin M., Davatzikos, Christos, Nabavizadeh, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298590/
https://www.ncbi.nlm.nih.gov/pubmed/34294864
http://dx.doi.org/10.1038/s41598-021-94560-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298590/
https://www.ncbi.nlm.nih.gov/pubmed/34294864
http://dx.doi.org/10.1038/s41598-021-94560-3

Ejemplares similares