The Cancer Genome Atlas-Breast Cancer (TCGA-BRCA) data collection is part of a larger effort to enhance the TCGA data set with characterized radiological images. The Cancer Imaging Program (CIP), with the cooperation of several of the TCGA tissue-contributing institutions, are working to archive a large portion of the radiological images of the genetically-analyzed BRCA cases.
Clinical, genetic, and pathological 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 BRCA disease type within TCGA.
The CIP has begun multiple projects to collaborate with the academic community to encourage cross disciplinary research, which utilizes the data provided in these resources. More can be learned about this effort on the TCGA Breast Phenotype Research Group page.
magnetic resonance (MR)
Number of Patients
Number of Studies
Number of Series
Number of Images
|Images Size (GB)||88.1|
If you are unsure how to download this collection, please view Searching by Collection or refer to TCIA's User's Guide for more detailed instructions on using the site.
The TCGA data portal has extensive clinical and genomic data, which can be matched to the patient identifiers of the images here in TCIA. Below is a snapshot of clinical data extracted on 10/28/2014.
Explanations of the clinical data can be found on the Biospecimen Core Resource Clinical Data Forms linked below:
Subject Identifiers: a subject with radiology images stored in TCIA is identified with a Patient ID that is identical to the Patient ID of the same subject with demographic, clinical, pathological, and/or genomic data stored in the Cancer Genome Atlas (TCGA). For each TCGA case, the baseline TCGA imaging studies found on TCIA are pre-surgical.
Dates: TCIA and TCGA handle dates differently, and there are no immediate plans to reconcile:
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Roswell Park, Buffalo, NY - Special thanks to Ermelinda Bonaccio, MD and Joe Filippini from the Department of Diagnostic Radiology.
University of Miami, Miller School of Medicine, Miami, FL - Special thanks to Jose M. Net, MD and Len Levi.
Memorial Sloan-Kettering Cancer Center/MSKCC, New York, NY - Special thanks to Elizabeth A Morris MD, Gloria Guman Figler, and Pierre Elnajjar.