The increasing interest in enhancing the RANO criteria by using quantitative assessments of changes in lesion size and image intensities has highlighted the need for rapid, easy-to-use tools that provide DICOM compatible outputs for evaluation of patients with glioma. To evaluate the performance of the SmartBrush software (Brainlab AG), which provides computer-assisted definitions of regions of interest (ROIs), a cohort of 20 patients with glioma (equal number having high and low grade and treated and un-treated) were scanned using a 3T whole-body MR system prior to surgical resection. The T2-weighted FLAIR, pre- and post-contrast T1-weighted gradient echo DICOM images were pushed from the scanner to an offline workstation where analysis of lesion volumes was performed using SmartBrush. Volumes of the T2Ls ranged from 7.9 to 110.2cm3 and the volumes of the CELs was 0.1 to 28.5 cm3 with 19/20 of the subjects having CELs and all 20 having T2Ls. the computer-assisted analysis was performed rapidly and efficiently, with the mean time for defining both lesions per subject was 5.77 (range 3.5 to 7.5) minutes. Prior analysis of ROIS with the SLICER package (www.slicer.org) took approximately 30 minutes/subject. SmartBrush provides lesion volumes and cross-sectional diameter as a PDF report, which can be stored in DICOM. The ROIs were also saved as DICOM objects and transferred to other packages for performing histogram analysis from ADC or other functional parameter maps. Ongoing studies that will be reported in this presentation are performing a similar analysis with multiple users in order to compare the relative intra- and inter-operator variations in terms of both the speed of analysis and the ROIs that are identified. Acknowledgements: The authors would like to acknowledge Rowena Thomson and Natalie Wright from Brainlab for helping to set up this study.