Estimating Local Cellular Density in Glioma Using MR Imaging Data.

E D H Gates Jeffrey S Weinberg Sujit S Prabhu J S Lin J Hamilton John D Hazle Gregory N Fuller Veerabhadran Baladandayuthapani David T Fuentes Dawid Schellingerhout

Published in: AJNR. American journal of neuroradiology (2020)

Cellular density can be estimated with moderate-to-strong correlations using MR imaging inputs. The random forest machine learning model provided the best estimates. These spatially specific estimates of cellular density will likely be useful in guiding both diagnosis and treatment.

Keyphrases

machine learning
contrast enhanced
electronic health record
artificial intelligence
high intensity
data analysis