DocumentCode :
1781764
Title :
Survival analysis of pre-operative GBM patients by using quantitative image features
Author :
Wangaryattawanich, Pattana ; Jixin Wang ; Thomas, Ginu A. ; Chaddad, Ahmad ; Zinn, Pascal O. ; Colen, Rivka R.
Author_Institution :
Dept. of Diagnostic Radiol., Univ. of Texas, Anderson, TX, USA
fYear :
2014
fDate :
3-5 Nov. 2014
Firstpage :
625
Lastpage :
627
Abstract :
This paper concerns a preliminary study of the relationship between survival time of both overall and progression free survival, and multiple imaging features of patients with glioblastoma. Simulation results showed that specific imaging features were found to have significant prognostic value to predict survival time in glioblastoma patients.
Keywords :
medical image processing; glioblastoma; multiple imaging features; preoperative GBM patients; prognostic value; progression free survival; quantitative image features; survival analysis; Cancer; Educational institutions; Hazards; Image segmentation; Imaging; Satellites; Tumors; glioblastoma; imaging; survival analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2014 International Conference on
Conference_Location :
Metz
Type :
conf
DOI :
10.1109/CoDIT.2014.6996968
Filename :
6996968
Link To Document :
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