Abstract #4388
Association between texture feature ratios and patient survival in glioblastoma
Joonsang Lee 1 , Rajan Jain 2 , Kamal Khalil 3 , Brent Griffith 3 , Ryan Bosca 4 , Ganesh Rao 5 , and Arvind Rao 1
1
Bioinformatics and Computational Biology,
The University of Texas MD Anderson Cancer Center,
Houston, TX, United States,
2
Radiology,
New York University School of Medicine, Langone Medical
Center, New York, NY, United States,
3
Radiology,
Henry Ford Hospital, Detroit, MI, United States,
4
Medical
Physics, University of Wisconsin, Madison, WI, United
States,
5
Neurosurgery,
The University of Texas MD Anderson Cancer Center,
Houston, TX, United States
The purpose of this study was to investigate the
association of the perfusion MRI textural feature ratios
with overall survival rates of patients with GBM. Our
study presents the results of an exploratory study
demonstrating the relationship of texture feature ratios
from one- and two-dimensional texture features as well
as kinetic texture features with survival in patients
with GBM. These findings suggest that texture feature
ratios from perfusion MRI data are a promising method as
a clinical prognostic tool.
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