The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) Dataset

TL;DR

The UCSF-PDGM dataset provides a comprehensive, standardized collection of MRI scans and genetic data from 500 glioma patients, facilitating AI research in brain tumor analysis.

Contribution

This paper introduces a large, publicly available MRI dataset with detailed genetic annotations for diffuse gliomas, supporting advanced AI research.

Findings

Dataset includes 500 cases with MRI and genetic data.

Standardized imaging protocol enhances data consistency.

Supports AI development for glioma diagnosis and prognosis.

Abstract

Here we present the University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) dataset. The UCSF-PDGM dataset includes 500 subjects with histopathologically-proven diffuse gliomas who were imaged with a standardized 3 Tesla preoperative brain tumor MRI protocol featuring predominantly 3D imaging, as well as advanced diffusion and perfusion imaging techniques. The dataset also includes isocitrate dehydrogenase (IDH) mutation status for all cases and O6-methylguanine-DNA methyltransferase (MGMT) promotor methylation status for World Health Organization (WHO) grade III and IV gliomas. The UCSF-PDGM has been made publicly available in the hopes that researchers around the world will use these data to continue to push the boundaries of AI applications for diffuse gliomas.