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Summary

The TCGA-GBM data collection is part of a larger effort to enhance the The Cancer Genome Atlas (TCGA) data set with characterized radiological images.  The Cancer Imaging Program (CIP) with the cooperation of several of the TCGA tissue-contributing institutions has archived a large portion of the radiological images of the genetically-analyzed GBM cases.

Clinical, genetic, and pathology data resides in the TCGA data portal while the radiological data is stored on The Cancer Imaging Archive (TCIA).   The data utilizes the same TCGA patient identifiers in both repositories, allowing researchers to explore the correlations between tissue genotype and radiological phenotype. This Collection within TCIA is related to the GBM disease type within TCGA.

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Henry Ford Hospital, Detroit, MI - Special thanks to Lisa Scarpace and Tom Mikkelsen, MD from the Department of Neurosurgery, Hermelin Brain Tumor Center.
  • University of California, San Francisco, CA - Special thanks to Soonmee Cha, MD from the Department of Neurological Surgery, Brain Tumor Research Center.
  • MD Anderson Cancer Center, Houston, TX - Special thanks to Sujaya Rao and Sangeeta Tekchandani from the Office of Translational/Clinical Research.
  • Emory University, Atlanta, GA - Special thanks to David Gutman, MD, PhD and Joel Saltz, MD, PhD from the Center for Comprehensive Informatics.
  • Mayo Clinic, Rochester, MN - Special thanks to Bradley J. Erickson, MD, PhD from the Department of Radiology, Mayo Medical School.
  • Thomas Jefferson University, Philadelpha, PA - Special thanks to Nancy Pedano and Adam E. Flanders, MD from the Department of Radiology, Jefferson Medical College.
  • CWRU School of Medicine, Cleveland, OH - Special thanks to Jill Barnholtz-Sloan, PhD and Quinn Ostrom, MA, MPH from Case Comprehensive Cancer Center.

CIP TCGA Radiology Initiative

The Cancer Imaging Program is supporting multiple projects within the academic community to encourage cross disciplinary research which utilizes the data provided in these resources.  Much more can be learned about this effort on the TCGA Glioma Phenotype Research Group page.

Data Access

Imaging Data

You can view and download these images on The Cancer Imaging Archive by logging in to TCIA and selecting the TCGA-GBM collection. A full listing of the available imaging studies/series for each patient can be found in this spreadsheet: TCGA-GBM_series_descriptions.csv

Collection Statistics

(updated 7/23/2012)

Modalities

MR

Number of Patients

240

Number of Studies

914

Number of Series

8,624

Number of Images

637,377

If you are unsure how to download this Collection please view our quick guide on Searching by Collection or refer to our The Cancer Imaging Archive User's Guide for more detailed instructions on using the site.

Metadata

The TCGA data portal has extensive clinical and genomic data which can be matched to the patient identifiers of the images here in TCIA.  Here are just a sample of some of the clinical data types available:

bcr_patient_barcode,additional_chemo_therapy,additional_drug_therapy,additional_hormone_therapy,additional_immuno_therapy,additional_pharmaceutical_therapy,additional_radiation_therapy,age_at_initial_pathologic_diagnosis,
anatomic_organ_subdivision,chemo_therapy,days_to_birth,days_to_death,days_to_initial_pathologic_diagnosis,days_to_last_followup,days_to_tumor_progression,days_to_tumor_recurrence,drugs,gender,histological_type,hormonal_therapy,
immuno_therapy,informed_consent_verified,initial_pathologic_diagnosis_method,person_neoplasm_cancer_status,pretreatment_history,prior_glioma,radiation_therapy,radiations,targeted_molecular_therapy,tumor_tissue_site,vital_status,
year_of_initial_pathologic_diagnosis

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