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

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.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2026-01-06
DOI
https://doi.org/10.1038/s41597-025-06499-z
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

S. Kesari, Vanessa Goodwill, C. McDonald, Jona A. Hattangadi‐Gluth et al.
Scientific Data
Glioma Diagnosis and Treatment
article

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

S. Kesari, Vanessa Goodwill, C. McDonald, Jona A. Hattangadi‐Gluth, Kathleen M. Schmainda, Rachit Saluja, Maria Correia de Verdier, David Piccioni, Tyler M. Seibert, George Mastorakos, Uyen Nguyen, Jessica Schulte, Jeffrey D. Rudie, Diviya Gupta, Christopher C. Conlin, Louis Gagnon, Nikdokht Farid, Anders M. Dale, Thomas Beaumont, Nathan White
article en

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.

Scientific DataVol. 13(1)
Uppsala University (SE), University of San Diego (US), University of California, Los Angeles (US), Medical College of Wisconsin (US), Cornell University (US), University of California San Diego (US), Cortech Solutions (United States) (US), Saint John's Health Center (US), Université Laval (CA), Weill Cornell Medicine (US)
Radiological Society of North America, National Institutes of Health, Natural Sciences and Engineering Research Council of Canada, Fonds de Recherche du Québec - Santé
Good health and well-being
Openalex Percentile: Top 97%
Glioma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.