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Summary

 

The National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) is a national effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteome and genome analysis, or proteogenomics. Radiology and pathology images are being collected by The Cancer Imaging Archive to enable researchers to investigate cancer phenotypes which correlate to proteomic, genomic and clinical data from CPTAC patients.

CPTAC tissues  were collected from many sites across the world. For this reason the image data sets are also extremely heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols. In most cases the images were acquired as part of routine care and not as part of a controlled research study or clinical trial. 

Acknowledgements

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

  • University of Calgary - Special thanks to Oliver Bathe. 
  • Beaumont Health Biobank - Special thanks to Prof. George Wilson.
  • Dignity Health,St. Joseph's Hospital and Medical Center, and Barrow Neurological Institute - Thanks to C. Seiler, R. Singh, and V. Sisneros.
  • The International Institute for Molecular Oncology - Special thanks to Maciej Wiznerowicz
  • Baylor
  • BioPartners
  • Cureline
  • Boston Medical Center - Thanks to C. Andry, M. Lavoye, M. Horn.
  • University of Pittsburgh Medical Center - Thanks to Dr. R. Dhir, Dr. S. Beasley, R. Jarosz.

 

Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

Data TypeDownload all or Query/Filter
Images (DICOM, 32.9GB)

 

Tissue Slide Images (web)

Clinical Data (CSV)

Proteomics (web)

Coming soon

Genomics (web)

Coming soon

Click the Versions tab for more info about data releases.

Detailed Description

Image Statistics

 

Modalities

CT, MR, PT

Number of Patients

16

Number of Studies

37

Number of Series

426

Number of Images

31,225

Images Size (GB)10.42 GB

A Note about TCIA and CPTAC Subject Identifiers and Dates

Subject Identifiers: A subject with radiology and pathology images stored in TCIA is identified with a Patient ID that is identical to the Patient ID of the same subject with clinical, proteomic, and/or genomic data stored in other CPTAC databases and web sites.

Dates: 

In order to understand where the imaging scans fit in the patient treatment timeline we have inserted information in (0012,0050) Clinical Trial Time Point ID. This tag contains the number of days from the date the patient was initially diagnosed pathologically with the disease to the date of the scan. E.g. a scan acquired 3 days before the diagnosis would contain the value -3. A follow up scan acquired 90 days after diagnosis would contain the value 90.

The DICOM date tags (be they birth dates, imaging study dates, etc.) are modified per TCIA's standard process which offsets them by a random number of days. The offset is a number of days between 3 and 10 years prior to the real date that is consistent for each TCIA image-submitting site and collection, but that varies among sites and among collections from the same site. Thus, the number of days between a subject’s longitudinal imaging studies are accurately preserved when more than one study has been archived while still meeting HIPAA requirements.

Citations & Data Usage Policy 

Imaging data from this project will be made immediately available as it is considered CPTAC metadata. If you utilize CPTAC proteomic or genomic data you must adhere to the CPTAC data use agreement in addition to TCIA's Data Usage Policy.

These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

Data Citation

Authors. (2018). Radiology Data from The CPTAC-GBM collection. The Cancer Imaging Archive. http://doi.org/data_DOI

Acknowledgement

The CPTAC program requests that publications using data from this program include the following statement: “Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC).”

TCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any manuscripts based on this data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.

Version 1 (Current): Updated 2018/01/10

Data TypeDownload all or Query/Filter
Images (DICOM, 10.4 GB)

 

Tissue Slide Images (web)

Clinical Data (CSV)

Proteomics (web)

Genomics (web)

 

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