Radiomic features predict Ki-67 expression level and survival in lower grade gliomas

Imaging genomics in cancer research: limitations and promises

(2016) Harrison X Bai et al.   BRITISH JOURNAL OF RADIOLOGY

Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

(2016) P. Kickingereder et al.   CLINICAL CANCER RESEARCH

Influence of gray level and space discretization on brain tumor heterogeneity measures obtained from magnetic resonance images

(2016) David Molina et al.   COMPUTERS IN BIOLOGY AND MEDICINE

MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

(2016) Panagiotis Korfiatis et al.   MEDICAL PHYSICS

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas

(2016) Biqi Zhang et al.   NEURO-ONCOLOGY

How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection

(2016) Joram Soch et al.   NEUROIMAGE

Ki-67 proliferation index but not mitotic thresholds integrates the molecular prognostic stratification of lower grade gliomas

(2016) Eleonora Duregon et al.   Oncotarget

Ki-67 is a Valuable Prognostic Factor in Gliomas: Evidence from a Systematic Review and Meta-analysis

(2015) Wen-Jie Chen et al.   Asian Pacific Journal of Cancer Prevention

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

(2015) Haruka Itakura et al.   Science Translational Medicine

IDH1/2 mutation status combined with Ki-67 labeling index defines distinct prognostic groups in glioma

(2015) Ailiang Zeng et al.   Oncotarget

Radiogenomics: What It Is and Why It Is Important

(2015) Maciej A. Mazurowski   Journal of the American College of Radiology

Comparison of Multiple Parameters Obtained on 3T Pulsed Arterial Spin-Labeling, Diffusion Tensor Imaging, and MRS and the Ki-67 Labeling Index in Evaluating Glioma Grading

(2014) H. Fudaba et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Practice changing mature results of RTOG study 9802: another positive PCV trial makes adjuvant chemotherapy part of standard of care in low-grade glioma

(2014) M. J. van den Bent   NEURO-ONCOLOGY

Glioma: Application of Whole-Tumor Texture Analysis of Diffusion-Weighted Imaging for the Evaluation of Tumor Heterogeneity

(2014) Young Jin Ryu et al.   PLoS One

Behind the Numbers: Decoding Molecular Phenotypes with Radiogenomics—Guiding Principles and Technical Considerations

(2014) Michael D. Kuo et al.   RADIOLOGY

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

Correlation of diffusion tensor, dynamic susceptibility contrast MRI and 99mTc-Tetrofosmin brain SPECT with tumour grade and Ki-67 immunohistochemistry in glioma

(2013) George A. Alexiou et al.   CLINICAL NEUROLOGY AND NEUROSURGERY

Identifying Ki-67 specific miRNA–mRNA interactions in malignant astrocytomas

(2013) Yanwei Liu et al.   NEUROSCIENCE LETTERS

Generalized Linear Model (GLM) framework for the association of host variables and viral strains with liver fibrosis in HCV/HIV coinfected patients

(2012) Marina Matas et al.   INFECTION GENETICS AND EVOLUTION

Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group

(2012) Wei Yan et al.   NEURO-ONCOLOGY

Towards MIB-1 and p53 detection in glioma magnetic resonance image: a novel computational image analysis method

(2012) Chenbin Liu et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme

(2011) Pascal O. Zinn et al.   PLoS One

Prognosis of glioma patients by combined immunostaining for survivin, Ki-67 and epidermal growth factor receptor

(2008) Minoru Kogiku et al.   JOURNAL OF CLINICAL NEUROSCIENCE