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...

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Udgivet i:Sci Rep
Main Authors: 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
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2021
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8298590/
https://ncbi.nlm.nih.gov/pubmed/34294864
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-94560-3
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