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...

Full description

Saved in:
Bibliographic Details
Published in: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
Language:Inglês
Published: Nature Publishing Group UK 2021
Subjects:
Article
Online Access: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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items