Cellular Density in Adult Glioma, Estimated with MR Imaging Data and a Machine Learning Algorithm, Has Prognostic Power Approaching World Health Organization Histologic Grading in a Cohort of 1181 Patients.

E D H Gates D Suki A Celaya Jeffrey S Weinberg Sujit S Prabhu R Sawaya Jason T Huse James P Long David T Fuentes Dawid Schellingerhout

Published in: AJNR. American journal of neuroradiology (2022)

Image-based estimation of glioma cellularity is a promising biomarker for predicting survival, approaching the prognostic power of World Health Organization grading, with added values of early availability, low risk, and low cost.

Keyphrases

machine learning
low cost
deep learning
end stage renal disease
newly diagnosed
ejection fraction
big data
chronic kidney disease
computed tomography
magnetic resonance
contrast enhanced
patient reported outcomes
young adults
data analysis