Related references
Note: Only part of the references are listed.Prediction of Pseudoprogression in Patients with Glioblastomas Using the Initial and Final Area Under the Curves Ratio Derived from Dynamic Contrast-Enhanced T1-Weighted Perfusion MR Imaging
C. H. Suh et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2013)
Classic models for dynamic contrast-enhanced MRI
Steven P. Sourbron et al.
NMR IN BIOMEDICINE (2013)
Increased Survival of Glioblastoma Patients Who Respond to Antiangiogenic Therapy with Elevated Blood Perfusion
A. Gregory Sorensen et al.
CANCER RESEARCH (2012)
Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging
M. O. Leach et al.
EUROPEAN RADIOLOGY (2012)
Prospective Analysis of Parametric Response Map-Derived MRI Biomarkers: Identification of Early and Distinct Glioma Response Patterns Not Predicted by Standard Radiographic Assessment
Craig J. Galban et al.
CLINICAL CANCER RESEARCH (2011)
Treatment Monitoring in Gliomas Comparison of Dynamic Susceptibility-Weighted Contrast-Enhanced and Spectroscopic MRI Techniques for Identifying Treatment Failure
Jonathan Voeglein et al.
INVESTIGATIVE RADIOLOGY (2011)
Fundamentals of Tracer Kinetics for Dynamic Contrast-Enhanced MRI
Tong San Koh et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2011)
NORMALIZATION OF THE VASCULATURE FOR TREATMENT OF CANCER AND OTHER DISEASES
Shom Goel et al.
PHYSIOLOGICAL REVIEWS (2011)
Temozolomide (Temodar)
J. R. Wesolowski et al.
AMERICAN JOURNAL OF NEURORADIOLOGY (2010)
Simulation-based comparison of two approaches frequently used for dynamic contrast-enhanced MRI
Stefan Zwick et al.
EUROPEAN RADIOLOGY (2010)
Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group
Patrick Y. Wen et al.
JOURNAL OF CLINICAL ONCOLOGY (2010)
Glioblastoma: A Method for Predicting Response to Antiangiogenic Chemotherapy by Using MR Perfusion Imaging-Pilot Study
Rahul N. Sawlani et al.
RADIOLOGY (2010)
A Vascular Normalization Index as Potential Mechanistic Biomarker to Predict Survival after a Single Dose of Cediranib in Recurrent Glioblastoma Patients
A. Gregory Sorensen et al.
CANCER RESEARCH (2009)
Progression-free survival: An important end point in evaluating therapy for recurrent high-grade gliomas
Kathleen R. Lamborn et al.
NEURO-ONCOLOGY (2008)
Computationally efficient vascular input function models for quantitative kinetic modelling using DCE-MRI
Matthew R. Orton et al.
PHYSICS IN MEDICINE AND BIOLOGY (2008)
Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results
Thomas E. Yankeelov et al.
MAGNETIC RESONANCE IMAGING (2007)
Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI
Geoff J. M. Parker et al.
MAGNETIC RESONANCE IN MEDICINE (2006)
Clinical investigation survival prediction in high-grade gliomas by MRI perfusion before and during early stage of RT
Y Cao et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2006)
Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response
James M. Provenzale et al.
RADIOLOGY (2006)
The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations
MO Leach et al.
BRITISH JOURNAL OF CANCER (2005)
Role of dynamic contrast enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy
MD Pickles et al.
BREAST CANCER RESEARCH AND TREATMENT (2005)
Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma
R Stupp et al.
NEW ENGLAND JOURNAL OF MEDICINE (2005)
A review of the automated detection of change in serial imaging studies of the brain
J Patriarche et al.
JOURNAL OF DIGITAL IMAGING (2004)
Share Paper
