The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset
- Louis Gagnon
- Diviya Gupta
- Uyen Nguyen
- Maria Correia de Verdier
- Rachit Saluja
- George Mastorakos
- Nathan White
- Vanessa Goodwill
- Carrie R. McDonald
- Thomas Beaumont
- Christopher Conlin
- Tyler M. Seibert
- Jona Hattangadi-Gluth
- Santosh Kesari
- Jessica D. Schulte
- David Piccioni
- Kathleen M. Schmainda
- Nikdokht Farid
- Anders M. Dale
- Jeffrey D. Rudie
2026-01-06
We present the University of California San Diego post-treatment glioblastoma (UCSD-PTGBM) annotated multimodal MRI dataset. The UCSD-PTGBM dataset includes 243 timepoints on 178 subjects with histopathologically-proven glioblastoma who were imaged with an advanced brain tumor protocol on 3 Tesla MRI scanners. Sequences include standard 3D imaging, as well as multishell diffusion (Restricted Spectrum Imaging, RSI) and perfusion imaging techniques (Arterial Spin Labelling, ASL and Dynamic Susceptibility Contrast, DSC), and neuroradiologist approved voxelwise tumor segmentations for both traditional segmentation masks and cellular tumor segmentations. The dataset also includes isocitrate dehydrogenase (IDH) mutation status and O6-methylguianine-DNA methyl-transferase (MGMT) promotor methylation status, as well as overall survival and progression free survival information for a subset of cases. We hope that researchers around the world will use these data to continue to improve analysis of post-operative MRI on glioblastoma patients, translate their findings into clinical practice and improve the management and outcome for these patients.