Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma
Authors
Keywords
Multi-parametric MRI, Glioblastoma multiforme, High-risk tumour volume, Overall survival, Radiogenomics
Journal
EUROPEAN RADIOLOGY
Volume 27, Issue 9, Pages 3583-3592
Publisher
Springer Nature
Online
2017-02-06
DOI
10.1007/s00330-017-4751-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Baseline pretreatment contrast enhancing tumor volume including central necrosis is a prognostic factor in recurrent glioblastoma: evidence from single and multicenter trials
- (2016) Benjamin M. Ellingson et al. NEURO-ONCOLOGY
- Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma
- (2016) Sina Burth et al. NEURO-ONCOLOGY
- Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab
- (2016) Ken Chang et al. NEURO-ONCOLOGY
- Radiogenomics to characterize regional genetic heterogeneity in glioblastoma
- (2016) Leland S. Hu et al. NEURO-ONCOLOGY
- Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images
- (2016) Yi Cui et al. RADIOLOGY
- 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
- Apparent Diffusion Coefficient Value Is Not Dependent on Magnetic Resonance Systems and Field Strength Under Fixed Imaging Parameters in Brain
- (2015) Akio Ogura et al. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
- Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques
- (2015) Luke Macyszyn et al. NEURO-ONCOLOGY
- Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival
- (2015) Pattana Wangaryattawanich et al. NEURO-ONCOLOGY
- Large-volume low apparent diffusion coefficient lesions predict poor survival in bevacizumab-treated glioblastoma patients
- (2015) Myron Zhang et al. NEURO-ONCOLOGY
- Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial
- (2015) Kathleen M. Schmainda 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
- Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain
- (2015) Matthew Grech-Sollars et al. NMR IN BIOMEDICINE
- Pseudoprogression in Patients with Glioblastoma: Assessment by Using Volume-weighted Voxel-based Multiparametric Clustering of MR Imaging Data in an Independent Test Set
- (2015) Ji Eun Park et al. RADIOLOGY
- The UCSC Cancer Genomics Browser: update 2015
- (2014) Mary Goldman et al. NUCLEIC ACIDS RESEARCH
- Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features
- (2014) Olivier Gevaert et al. RADIOLOGY
- Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
- (2014) A. P. Patel et al. SCIENCE
- Errors in Quantitative Image Analysis due to Platform-Dependent Image Scaling
- (2014) Thomas L. Chenevert et al. Translational Oncology
- Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability
- (2013) Ralph T. H. Leijenaar et al. ACTA ONCOLOGICA
- Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics
- (2013) A. Sottoriva et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Differentiation of True Progression from Pseudoprogression in Glioblastoma Treated with Radiation Therapy and Concomitant Temozolomide: Comparison Study of Standard and High-b-Value Diffusion-weighted Imaging
- (2013) Hee Ho Chu et al. RADIOLOGY
- MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set
- (2013) David A. Gutman et al. RADIOLOGY
- Quantitative Imaging in Cancer Evolution and Ecology
- (2013) Robert A. Gatenby et al. RADIOLOGY
- Illuminating Radiogenomic Characteristics of Glioblastoma Multiforme through Integration of MR Imaging, Messenger RNA Expression, and DNA Copy Number Variation
- (2013) Neema Jamshidi et al. RADIOLOGY
- Diffusion-Weighted MR Imaging and MGMT Methylation Status in Glioblastoma: A Reappraisal of the Role of Preoperative Quantitative ADC Measurements
- (2012) A. Gupta et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Apparent diffusion coefficient obtained by magnetic resonance imaging as a prognostic marker in glioblastomas: correlation with MGMT promoter methylation status
- (2012) Andrea Romano et al. EUROPEAN RADIOLOGY
- Correlation of apparent diffusion coefficient values measured by diffusion MRI and MGMT promoter methylation semiquantitatively analyzed with MS-MLPA in patients with glioblastoma multiforme
- (2012) Leonard Sunwoo et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Current clinical development of PI3K pathway inhibitors in glioblastoma
- (2012) P. Y. Wen et al. NEURO-ONCOLOGY
- Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR Imaging
- (2012) R. F. Barajas et al. NEURO-ONCOLOGY
- A multi-center study: Intra-scan and inter-scan variability of diffusion spectrum imaging
- (2012) A. Lemkaddem et al. NEUROIMAGE
- Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers
- (2012) Rajan Jain et al. RADIOLOGY
- 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
- Imaging parameters of high grade gliomas in relation to the MGMT promoter methylation status: the CT, diffusion tensor imaging, and perfusion MR imaging
- (2011) Won-Jin Moon et al. NEURORADIOLOGY
- Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme
- (2011) Pascal O. Zinn et al. PLoS One
- Kernel density estimation via diffusion
- (2010) Z. I. Botev et al. ANNALS OF STATISTICS
- 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
- Predicting survival in glioblastomas using diffusion tensor imaging metrics
- (2010) Sona Saksena et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Correcting eddy current and motion effects by affine whole-brain registrations: Evaluation of three-dimensional distortions and comparison with slicewise correction
- (2010) Siawoosh Mohammadi et al. MAGNETIC RESONANCE IN MEDICINE
- Glioblastoma Multiforme Regional Genetic and Cellular Expression Patterns: Influence on Anatomic and Physiologic MR Imaging
- (2010) Ramon F. Barajas et al. RADIOLOGY
- elastix: A Toolbox for Intensity-Based Medical Image Registration
- (2009) S. Klein et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Isocitrate Dehydrogenase 1 Codon 132 Mutation Is an Important Prognostic Biomarker in Gliomas
- (2009) Marc Sanson et al. JOURNAL OF CLINICAL ONCOLOGY
- The UCSC Cancer Genomics Browser
- (2009) Jingchun Zhu et al. NATURE METHODS
- Comprehensive genomic characterization defines human glioblastoma genes and core pathways
- (2008) Roger McLendon et al. NATURE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now