# The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset

## TL;DR

This paper introduces a detailed MRI dataset for post-treatment glioblastoma patients, including imaging data and clinical annotations to help improve patient management and outcomes.

## Contribution

The novel contribution is the creation of a comprehensive annotated multimodal MRI dataset with clinical annotations for post-treatment glioblastoma patients.

## Key findings

- The dataset includes 243 MRI timepoints from 178 glioblastoma patients with histopathological confirmation.
- It features advanced imaging sequences like RSI, ASL, and DSC along with tumor segmentations and molecular markers like IDH and MGMT status.
- The dataset includes survival data and is intended to support research into post-operative glioblastoma management.

## Abstract

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.