New Dataset: The University of California San Diego annotated post-treatment high-grade glioma multimodal MRI dataset (UCSD-PTGBM)
While there are a growing number of publicly available pre-operative MRI datasets for high-grade gliomas, very few post-operative datasets are available. TCIA has helped fill this gap by publishing the University of California San Diego annotated post-treatment high-grade glioma multimodal MRI dataset (UCSD-PTGBM). This dataset includes 243 timepoints from 178 subjects (mean age 56 +/- 13 years [std], 116 men, 62 women) with histopathologically-proven high-grade gliomas who were imaged with an advanced brain tumor protocol on 3 Tesla MRI scanners. Sequences include standard 3D imaging, multishell diffusion and perfusion imaging techniques (ASL and DSC), and neuroradiologist-approved voxelwise tumor segmentations. The dataset also includes IDH mutation status and MGMT promoter methylation status, overall survival, and progression-free survival information for several cases.
The UCSD-PTGBM is the first dataset to include multishell diffusion MRI to separate tumor cellularity from free water (oedema) maps, as well as to provide cellular tumor (both enhancing and non-enhancing) annotations by radiologists on top of standard (BraTS) tumor segmentation. This is one of very few datasets to include multiple perfusion techniques (DSC and ASL), and to include progression free survival information on top of more conventional overall survival information. This dataset could extend radiology AI research to post-operative analysis and the use of advanced imaging, as opposed to the more conventional preoperative standard multimodal MRI datasets used in the BraTS challenge.