Multivariate Pattern Analysis of in vivo MR Imaging Parameters for Detecting Transformations to a Higher Grade in Patients with Recurrent Low Grade Gliomas

Keywords

accuracy additive agent allow anatomic anatomical anatomy approaches attenuated automatic becoming bias bootstrapping build built cerebral chemotherapy choline class classification clinical comprised confirmation contrast contribution corrected cross cutoffs define designed desired detecting determine diagnosis diagnostic diffusion distinguish earlier edited enhancing ensemble errors examples extracted feature features final flair fluid fractional good grade guided height histological identify identifying important in vivo included incorrectly indicated individual initial injection input instance intensity invasive lactate leads learning leaves lesion lesions lipid localization logistic malignant manually maps median metabolic model models multivariate nelson normalized objective options originally output overall parametric patients pattern peak percentile performance physiological planning practice predict probability problem progressed progression protocol quality radiation recovery recurred recurrence recurrent regression remained repeatedly resection risks sample samples sampling scheduled selected selecting selection sets subtype supervised suppose surgery surgical susceptibility suspected table therapeutics tissue training transformation transformations tumor tumors unseen upon utility validation variables variance vector volume volumes wrapper