Automatic Analysis of Cellularity in Glioblastoma and Correlation with ADC Using Trajectory Analysis and Automatic Nuclei Counting
07/2016 / PloS one
Correlating histologic cellularity with the Apparent Diffusion Coefficient (ADC) measured in MRI (there’s a negative correlation).
Quantification of Tumor Vessels in Glioblastoma Patients Using Time-of-Flight Angiography at 7 Tesla: A Feasibility Study
11/2014 / PloS one
The first in-vivo display of Glioblastoma Tumor vessels with an automatic segmentation algorithm using a 7 Tesla MRI Scanner (it works).
Gadolinium retention in the dentate nucleus and globus pallidus is dependent on the class of contrast agent
04/2015 / Radiology
A widely used group of MRI contrast agents is associated with signal intensity elevation in patients’ brains.
Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma
05/2016 / Neuro-Oncology
Clinical parameters in patients with glioblastoma are more relevant for survival prediction than MRI-derived parameters.
Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models
09/2016 / Radiology
Lots of features were extracted from MRI-images (far more than in the study above), a subset of which could better predict survival than clinical parameters.
Radiogenomics of Glioblastoma: Machine Learning–based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features
12/2016 / Radiology
It’s not really possible to predict molecular parameters from MRI-derived parameters.
Time-dependent parameter of perfusion imaging as independent predictor of clinical outcome in symptomatic carotid artery stenosis
04/2016 / BMC Neurology
MRI-derived parameters perform better than sonographically measured degree of stenosis in predicting patient outcomes of symptomatic internal carotid artery stenosis.