Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study

A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

(2017) Zijian Zhang et al.   EUROPEAN RADIOLOGY

Pseudoprogression, radionecrosis, inflammation or true tumor progression? challenges associated with glioblastoma response assessment in an evolving therapeutic landscape

(2017) Benjamin M. Ellingson et al.   JOURNAL OF NEURO-ONCOLOGY

Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study

(2016) P. Tiwari et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Evaluation of pseudoprogression rates and tumor progression patterns in a phase III trial of bevacizumab plus radiotherapy/temozolomide for newly diagnosed glioblastoma

(2016) Wolfgang Wick et al.   NEURO-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

Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma

(2015) Dalu Yang et al.   MEDICAL PHYSICS

The Diagnosis and Treatment of Pseudoprogression, Radiation Necrosis and Brain Tumor Recurrence

(2014) Kashif Parvez et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Quantitative Imaging in Cancer Evolution and Ecology

(2013) Robert A. Gatenby et al.   RADIOLOGY

MR Spectroscopy Using Normalized and Non-normalized Metabolite Ratios for Differentiating Recurrent Brain Tumor from Radiation Injury

(2011) Augusto E. Elias et al.   ACADEMIC RADIOLOGY

Classification of Benign and Malignant Breast Tumors by 2-D Analysis Based on Contour Description and Scatterer Characterization

(2010) Po-Hsiang Tsui et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

Perfusion weighted magnetic resonance imaging to distinguish the recurrence of metastatic brain tumors from radiation necrosis after stereotactic radiosurgery

(2010) Koichi Mitsuya et al.   JOURNAL OF NEURO-ONCOLOGY

Bidimensional Measurements in Brain Tumors: Assessment of Interobserver Variability

(2009) James M. Provenzale et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Pseudoprogression and pseudoresponse: Challenges in brain tumor imaging

(2009) Jennifer L. Clarke et al.   Current Neurology and Neuroscience Reports

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

(2009) Evangelia I. Zacharaki et al.   MAGNETIC RESONANCE IN MEDICINE

Effect of Lesion Morphology on Microwave Signature in 2-D Ultra-Wideband Breast Imaging

(2008) Yifan Chen et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A methodology for analyzing curvature in the developing brain from preterm to adult

(2008) R. Pienaar et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas

(2008) Dieta Brandsma et al.   LANCET ONCOLOGY

Disease progression or pseudoprogression after concomitant radiochemotherapy treatment: Pitfalls in neurooncology

(2008) Alba A. Brandes et al.   NEURO-ONCOLOGY