Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma

Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients

(2018) Jung Youn Kim et al.   NEURO-ONCOLOGY

Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma

(2017) Michael Ingrisch et al.   INVESTIGATIVE RADIOLOGY

The Rise of Radiomics and Implications for Oncologic Management

(2017) Vivek Verma et al.   JNCI-Journal of the National Cancer Institute

Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma

(2017) Philipp Kickingereder et al.   NEURO-ONCOLOGY

MRI features predict survival and molecular markers in diffuse lower-grade gliomas

(2017) Hao Zhou et al.   NEURO-ONCOLOGY

Local Fractional Anisotropy Is Reduced in Areas with Tumor Recurrence in Glioblastoma

(2017) Stefanie Bette et al.   RADIOLOGY

The Rise of Radiomics and Implications for Oncologic Management

(2017) Vivek Verma et al.   JNCI-Journal of the National Cancer Institute

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

Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

(2016) Matthias Schmid et al.   METHODS OF INFORMATION IN MEDICINE

Imaging biomarker roadmap for cancer studies

(2016) James P. B. O'Connor et al.   Nature Reviews Clinical Oncology

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

(2016) Philipp Kickingereder et al.   RADIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

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

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

(2015) Philipp Kickingereder et al.   NEURO-ONCOLOGY

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

Extent of Resection of Glioblastoma Revisited: Personalized Survival Modeling Facilitates More Accurate Survival Prediction and Supports a Maximum-Safe-Resection Approach to Surgery

(2014) Nicholas F. Marko et al.   JOURNAL OF CLINICAL ONCOLOGY

Patterns of failure for glioblastoma multiforme following limited-margin radiation and concurrent temozolomide

(2014) Brian J Gebhardt et al.   Radiation Oncology

Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor

(2014) Rajan Jain et al.   RADIOLOGY

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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

Statistical normalization techniques for magnetic resonance imaging

(2014) Russell T. Shinohara et al.   NeuroImage-Clinical

Diffusion tensor invasive phenotypes can predict progression-free survival in glioblastomas

(2013) L. A. Mohsen et al.   BRITISH JOURNAL OF NEUROSURGERY

The Medical Imaging Interaction Toolkit: challenges and advances

(2013) Marco Nolden et al.   International Journal of Computer Assisted Radiology and Surgery

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers

(2012) Rajan Jain et al.   RADIOLOGY

A semiautomatic CT-based ensemble segmentation of lung tumors: Comparison with oncologists’ delineations and with the surgical specimen

(2012) Emmanuel Rios Velazquez et al.   RADIOTHERAPY AND ONCOLOGY

Adult glioblastoma multiforme survival in the temozolomide era: A population-based analysis of Surveillance, Epidemiology, and End Results registries

(2011) Amy S. Darefsky et al.   CANCER

Glioblastoma survival in the United States before and during the temozolomide era

(2011) Derek R. Johnson et al.   JOURNAL OF NEURO-ONCOLOGY

Pattern of Failure After Limited Margin Radiotherapy and Temozolomide for Glioblastoma

(2010) Mark W. McDonald et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

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

Radiographic patterns of relapse in glioblastoma

(2010) Marc C. Chamberlain   JOURNAL OF NEURO-ONCOLOGY

DTI and PWI analysis of peri-enhancing tumoral brain tissue in patients treated for glioblastoma

(2010) Alessandro Stecco et al.   JOURNAL OF NEURO-ONCOLOGY

A reproducible evaluation of ANTs similarity metric performance in brain image registration

(2010) Brian B. Avants et al.   NEUROIMAGE

Improving target delineation on 4-dimensional CT scans in stage I NSCLC using a deformable registration tool

(2010) Iris E. van Dam et al.   RADIOTHERAPY AND ONCOLOGY

Genome-wide association analysis by lasso penalized logistic regression

(2009) Tong Tong Wu et al.   BIOINFORMATICS

Submissions toRadiology: Our Top 10 List of Statistical Errors

(2009) Deborah Levine et al.   RADIOLOGY

Multiparametric Tissue Characterization of Brain Neoplasms and Their Recurrence Using Pattern Classification of MR Images

(2008) Ragini Verma et al.   ACADEMIC RADIOLOGY

Prognostic Value of Perfusion MR Imaging of High-Grade Astrocytomas: Long-Term Follow-Up Study

(2008) T. Hirai et al.   AMERICAN JOURNAL OF NEURORADIOLOGY