Imaging descriptors improve the predictive power of survival models for glioblastoma patients

A Novel Volume-Age-KPS (VAK) Glioblastoma Classification Identifies a Prognostic Cognate microRNA-Gene Signature

(2012) Pascal O. Zinn et al.   PLoS One

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

A Hypermethylated Phenotype Is a Better Predictor of Survival than MGMT Methylation in Anaplastic Oligodendroglial Brain Tumors: A Report from EORTC Study 26951

(2011) M. J. van den Bent et al.   CLINICAL CANCER RESEARCH

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

(2010) Roel G.W. Verhaak et al.   CANCER CELL

Scale to Predict Survival After Surgery for Recurrent Glioblastoma Multiforme

(2010) John K. Park et al.   JOURNAL OF CLINICAL ONCOLOGY

EXTENT OF RESECTION AND SURVIVAL IN GLIOBLASTOMA MULTIFORME

(2009) et al.   NEUROSURGERY

A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?

(2008) B. Haibe-Kains et al.   BIOINFORMATICS

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

(2008) Roger McLendon et al.   NATURE

Prognostic factors for survival in 676 consecutive patients with newly diagnosed primary glioblastoma

(2007) Graziella Filippini et al.   NEURO-ONCOLOGY