Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab

Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma

(2015) J. Lee et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Quantification of Nonenhancing Tumor Burden in Gliomas Using Effective T2 Maps Derived from Dual-Echo Turbo Spin-Echo MRI

(2015) B. M. Ellingson et al.   CLINICAL CANCER RESEARCH

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation of pre-radiotherapy apparent diffusion coefficient (ADC): patterns of recurrence and survival outcomes analysis in patients treated for glioblastoma multiforme

(2015) Andrew Elson et al.   JOURNAL OF NEURO-ONCOLOGY

Prognostic value of combined visualization of MR diffusion and perfusion maps in glioblastoma

(2015) Katerina Deike et al.   JOURNAL OF NEURO-ONCOLOGY

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques

(2015) Luke Macyszyn et al.   NEURO-ONCOLOGY

Relative cerebral blood volume is a potential predictive imaging biomarker of bevacizumab efficacy in recurrent glioblastoma

(2015) Philipp Kickingereder et al.   NEURO-ONCOLOGY

CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008-2012

(2015) Quinn T. Ostrom et al.   NEURO-ONCOLOGY

VEGF isoforms as outcome biomarker for anti-angiogenic therapy in recurrent glioblastoma

(2015) Q. G. D'Alessandris et al.   NEUROLOGY

A Generic Support Vector Machine Model for Preoperative Glioma Survival Associations

(2015) Kyrre E. Emblem et al.   RADIOLOGY

Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

(2015) Javier Juan-Albarracín et al.   PLoS One

Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images

(2014) T.C. Steed et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma

(2014) Jayashree Kalpathy-Cramer et al.   CANCER RESEARCH

High Throughput Tools to Access Images from Clinical Archives for Research

(2014) Shawn N. Murphy et al.   JOURNAL OF DIGITAL IMAGING

Association of overall survival in patients with newly diagnosed glioblastoma with contrast-enhanced perfusion MRI: Comparison of intraindividually matched T1- and T2*-based bolus techniques

(2014) David Bonekamp et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

VEGFA SNP rs2010963 is associated with vascular toxicity in recurrent glioblastomas and longer response to bevacizumab

(2014) Anna Luisa Di Stefano et al.   JOURNAL OF NEURO-ONCOLOGY

Identifying the survival subtypes of glioblastoma by quantitative volumetric analysis of MRI

(2014) Zhe Zhang et al.   JOURNAL OF NEURO-ONCOLOGY

Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab

(2014) Rifaquat Rahman et al.   JOURNAL OF NEURO-ONCOLOGY

Multi-Modal Glioblastoma Segmentation: Man versus Machine

(2014) Nicole Porz et al.   PLoS One

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

(2014) A. P. Patel et al.   SCIENCE

Semiautomated Volumetric Measurement on Postcontrast MR Imaging for Analysis of Recurrent and Residual Disease in Glioblastoma Multiforme

(2013) D.S. Chow et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Recurrent glioblastoma: Volumetric assessment and stratification of patient survival with early posttreatment magnetic resonance imaging in patients treated with bevacizumab

(2013) Raymond Y. Huang et al.   CANCER

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

(2013) M. A. Mazurowski et al.   NEURO-ONCOLOGY

MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set

(2013) David A. Gutman et al.   RADIOLOGY

Recurrent Glioblastoma Treated with Bevacizumab: Contrast-enhanced T1-weighted Subtraction Maps Improve Tumor Delineation and Aid Prediction of Survival in a Multicenter Clinical Trial

(2013) Benjamin M. Ellingson et al.   RADIOLOGY

Survival Analysis of Patients with High-Grade Gliomas Based on Data Mining of Imaging Variables

(2012) E.I. Zacharaki et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study

(2012) Whitney B. Pope et al.   JOURNAL OF NEURO-ONCOLOGY

Apparent Diffusion Coefficient Histogram Analysis Stratifies Progression-Free Survival in Newly Diagnosed Bevacizumab-Treated Glioblastoma

(2011) W.B. Pope et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

A phase II trial of single-agent bevacizumab in patients with recurrent anaplastic glioma

(2011) T. N. Kreisl et al.   NEURO-ONCOLOGY

Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

(2010) Patrick Y. Wen et al.   JOURNAL OF CLINICAL ONCOLOGY

Bevacizumab Alone and in Combination With Irinotecan in Recurrent Glioblastoma

(2009) Henry S. Friedman et al.   JOURNAL OF CLINICAL ONCOLOGY

Recurrent Glioblastoma Multiforme: ADC Histogram Analysis Predicts Response to Bevacizumab Treatment

(2009) Whitney B. Pope et al.   RADIOLOGY

An exploratory survival analysis of anti-angiogenic therapy for recurrent malignant glioma

(2008) Andrew D. Norden et al.   JOURNAL OF NEURO-ONCOLOGY

Malignant Gliomas in Adults

(2008) Patrick Y. Wen et al.   NEW ENGLAND JOURNAL OF MEDICINE